Markovian Foundations for Quasi-Stochastic Approximation - Caio Kalil Lauand; Sean P. Meyn (SIAM J. Control. Optim., 2025)

The Projected Bellman Equation in Reinforcement Learning - Sean P. Meyn (IEEE Trans. Autom. Control., 2024)

Quickest Change Detection Using Mismatched CUSUM Extended Abstract - Austin Cooper; Sean P. Meyn (60th Annual Allerton Conference on Communication, Control, and Computing, Urbana, IL, USA, September 24-27, 2024, 2024)

Dual Ensemble Kalman Filter for Stochastic Optimal Control - Anant A. Joshi; Amirhossein Taghvaei; Prashant G. Mehta; Sean P. Meyn (63rd IEEE Conference on Decision and Control, CDC 2024, Milan, Italy, December 16-19, 2024, 2024)

Reinforcement Learning Design for Quickest Change Detection - Austin Cooper; Sean P. Meyn (63rd IEEE Conference on Decision and Control, CDC 2024, Milan, Italy, December 16-19, 2024, 2024)

Markovian Foundations for Quasi-Stochastic Approximation in Two Timescales - Caio Kalil Lauand; Sean P. Meyn (63rd IEEE Conference on Decision and Control, CDC 2024, Milan, Italy, December 16-19, 2024, 2024)

Tri-Level Linear Programming Model for Automatic Load Shedding Using Spectral Clustering - Mario D. Baquedano-Aguilar; Arturo S. Bretas; Sean P. Meyn; Nader Aljohani (IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, ISGT 2024, Washington, DC, USA, February 19-22, 2024, 2024)

Microgrid Frequency Stability: A Proactive Scheme Based on Dynamic Predictions - Gian Paramo; Arturo S. Bretas; Sean P. Meyn (IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, ISGT 2024, Washington, DC, USA, February 19-22, 2024, 2024)

Reinforcement Learning Design for Quickest Change Detection - Austin Cooper; Sean P. Meyn (CoRR, 2024)

Dual Ensemble Kalman Filter for Stochastic Optimal Control - Anant A. Joshi; Amirhossein Taghvaei; Prashant G. Mehta; Sean P. Meyn (CoRR, 2024)

Design of Interacting Particle Systems for Fast and Efficient Reinforcement Learning - Anant A. Joshi; Heng-Sheng Chang; Amirhossein Taghvaei; Prashant G. Mehta; Sean P. Meyn (CoRR, 2024)

Quickest Change Detection Using Mismatched CUSUM - Austin Cooper; Sean P. Meyn (CoRR, 2024)

Kullback-Leibler-Quadratic Optimal Control - Neil Cammardella; Ana Busic; Sean P. Meyn (SIAM J. Control. Optim., 2023)

State-Space Collapse in Resource Allocation for Demand Dispatch and Its Implications for Distributed Control Design - Joel Mathias; Sean P. Meyn; Robert Moye; Joseph Warrington (IEEE Trans. Autom. Control., 2023)

Load-Level Control Design for Demand Dispatch With Heterogeneous Flexible Loads - Joel Mathias; Ana Busic; Sean P. Meyn (IEEE Trans. Control. Syst. Technol., 2023)

Inverse Free Zap Stochastic Approximation Extended Abstract - Caio Kalil Lauand; Ana Busic; Sean P. Meyn (59th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2023, Monticello, IL, USA, September 26-29, 2023, 2023)

Learning Optimal Policies in Mean Field Models with Kullback-Leibler Regularization - Ana Busic; Sean P. Meyn; Neil Cammardella (62nd IEEE Conference on Decision and Control, CDC 2023, Singapore, December 13-15, 2023, 2023)

Convex Q Learning in a Stochastic Environment - Fan Lu; Sean P. Meyn (62nd IEEE Conference on Decision and Control, CDC 2023, Singapore, December 13-15, 2023, 2023)

Convex Q-Learning in Continuous Time with Application to Dispatch of Distributed Energy Resources - Fan Lu; Joel Mathias; Sean P. Meyn; Karanjit Kalsi (62nd IEEE Conference on Decision and Control, CDC 2023, Singapore, December 13-15, 2023, 2023)

Balancing the Power Grid with Cheap Assets - Sean P. Meyn; Fan Lu; Joel Mathias (62nd IEEE Conference on Decision and Control, CDC 2023, Singapore, December 13-15, 2023, 2023)

The Curse of Memory in Stochastic Approximation - Caio Kalil Lauand; Sean P. Meyn (62nd IEEE Conference on Decision and Control, CDC 2023, Singapore, December 13-15, 2023, 2023)

High Impedance Fault Detection Through Quasi-Static State Estimation: A Parameter Error Modeling Approach - Austin Cooper; Arturo S. Bretas; Sean P. Meyn; Newton G. Bretas (IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, ISGT 2023, Washington, DC, USA, January 16-19, 2023, 2023)

High-Impedance Non-Linear Fault Detection via Eigenvalue Analysis with low PMU Sampling Rates - Gian Paramo; Arturo S. Bretas; Sean P. Meyn (IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, ISGT 2023, Washington, DC, USA, January 16-19, 2023, 2023)

High-Impedance Non-Linear Fault Detection via Eigenvalue Analysis with low PMU Sampling Rates - Gian Paramo; Arturo S. Bretas; Sean P. Meyn (CoRR, 2023)

Stability of Q-Learning Through Design and Optimism - Sean P. Meyn (CoRR, 2023)

Convex Q Learning in a Stochastic Environment: Extended Version - Fan Lu; Sean P. Meyn (CoRR, 2023)

Controlled interacting particle algorithms for simulation-based reinforcement learning - Anant A. Joshi; Amirhossein Taghvaei; Prashant G. Mehta; Sean P. Meyn (Syst. Control. Lett., 2022)

Q-Learning With Uniformly Bounded Variance - Adithya M. Devraj; Sean P. Meyn (IEEE Trans. Autom. Control., 2022)

Bias in Stochastic Approximation Cannot Be Eliminated With Averaging - Caio Kalil Lauand; Sean P. Meyn (58th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2022, Monticello, IL, USA, September 27-30, 2022, 2022)

Convex Analytic Theory for Convex Q-Learning - Fan Lu; Prashant G. Mehta; Sean P. Meyn; Gergely Neu (61st IEEE Conference on Decision and Control, CDC 2022, Cancun, Mexico, December 6-9, 2022, 2022)

A Distributed Control Architecture for Optimal Allocation of Grid-responsive Load Aggregations - Joel Mathias; Sean P. Meyn; Hala Ballouz; Meisam Ansari (2022 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, ISGT 2022, New Orleans, LA, USA, April 24-28, 2022, 2022)

Approaching Quartic Convergence Rates for Quasi-Stochastic Approximation with Application to Gradient-Free Optimization - Caio Kalil Lauand; Sean P. Meyn (Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022, 2022)

Model-Free Characterizations of the Hamilton-Jacobi-Bellman Equation and Convex Q-Learning in Continuous Time - Fan Lu; Joel Mathias; Sean P. Meyn; Karanjit Kalsi (CoRR, 2022)

Sufficient Exploration for Convex Q-learning - Fan Lu; Prashant G. Mehta; Sean P. Meyn; Gergely Neu (CoRR, 2022)

Uncertainty Error Modeling for Non-Linear State Estimation With Unsynchronized SCADA and \(μ\)PMU Measurements - Austin Cooper; Arturo S. Bretas; Sean P. Meyn; Newton G. Bretas (CoRR, 2022)

High Impedance Fault Detection Through Quasi-Static State Estimation: A Parameter Error Modeling Approach - Austin Cooper; Arturo S. Bretas; Sean P. Meyn; Newton G. Bretas (CoRR, 2022)

Revisiting the ODE Method for Recursive Algorithms: Fast Convergence Using Quasi Stochastic Approximation - Shuhang Chen; Adithya M. Devraj; Andrey Berstein; Sean P. Meyn (J. Syst. Sci. Complex., 2021)

Differential Temporal Difference Learning - Adithya M. Devraj; Ioannis Kontoyiannis; Sean P. Meyn (IEEE Trans. Autom. Control., 2021)

Reinforcement Learning-Based Home Energy Management System for Resiliency - Naren Srivaths Raman; Ninad Gaikwad; Prabir Barooah; Sean P. Meyn (2021 American Control Conference, ACC 2021, New Orleans, LA, USA, May 25-28, 2021, 2021)

Accelerating Optimization and Reinforcement Learning with Quasi Stochastic Approximation - Shuhang Chen; Adithya M. Devraj; Andrey Bernstein; Sean P. Meyn (2021 American Control Conference, ACC 2021, New Orleans, LA, USA, May 25-28, 2021, 2021)

Convex Q-Learning - Fan Lu; Prashant G. Mehta; Sean P. Meyn; Gergely Neu (2021 American Control Conference, ACC 2021, New Orleans, LA, USA, May 25-28, 2021, 2021)

Kullback-Leibler-Quadratic Optimal Control in a Stochastic Environment - Neil Cammardella; Ana Busic; Sean P. Meyn (2021 60th IEEE Conference on Decision and Control (CDC), Austin, TX, USA, December 14-17, 2021, 2021)

The Conditional Poincaré Inequality for Filter Stability - Jin-Won Kim; Prashant G. Mehta; Sean P. Meyn (2021 60th IEEE Conference on Decision and Control (CDC), Austin, TX, USA, December 14-17, 2021, 2021)

Reliable Power Grid: Long Overdue Alternatives to Surge Pricing - Hala Ballouz; Joel Mathias; Sean P. Meyn; Robert Moye; Joseph Warrington (CoRR, 2021)

The ODE Method for Asymptotic Statistics in Stochastic Approximation and Reinforcement Learning - Vivek S. Borkar; Shuhang Chen; Adithya M. Devraj; Ioannis Kontoyiannis; Sean P. Meyn (CoRR, 2021)

Diffusion Map-based Algorithm for Gain Function Approximation in the Feedback Particle Filter - Amirhossein Taghvaei; Prashant G. Mehta; Sean P. Meyn (SIAM/ASA J. Uncertain. Quantification, 2020)

Explicit Mean-Square Error Bounds for Monte-Carlo and Linear Stochastic Approximation - Shuhang Chen; Adithya M. Devraj; Ana Busic; Sean P. Meyn (The 23rd International Conference on Artificial Intelligence and Statistics, AISTATS 2020, 26-28 August 2020, Online [Palermo, Sicily, Italy], 2020)

Simultaneous Allocation and Control of Distributed Energy Resources via Kullback-Leibler-Quadratic Optimal Control - Neil Cammardella; Ana Busic; Sean P. Meyn (2020 American Control Conference, ACC 2020, Denver, CO, USA, July 1-3, 2020, 2020)

Flexibility capacity of thermostatically controlled loads with cycling/lock-out constraints - Austin R. Coffman; Neil Cammardella; Prabir Barooah; Sean P. Meyn (2020 American Control Conference, ACC 2020, Denver, CO, USA, July 1-3, 2020, 2020)

Reinforcement Learning for Control of Building HVAC Systems - Naren Srivaths Raman; Adithya M. Devraj; Prabir Barooah; Sean P. Meyn (2020 American Control Conference, ACC 2020, Denver, CO, USA, July 1-3, 2020, 2020)

Model-Free Primal-Dual Methods for Network Optimization with Application to Real-Time Optimal Power Flow - Yue Chen; Andrey Bernstein; Adithya M. Devraj; Sean P. Meyn (2020 American Control Conference, ACC 2020, Denver, CO, USA, July 1-3, 2020, 2020)

Zap Q-Learning for Optimal Stopping - Shuhang Chen; Adithya M. Devraj; Ana Busic; Sean P. Meyn (2020 American Control Conference, ACC 2020, Denver, CO, USA, July 1-3, 2020, 2020)

Zap Q-Learning With Nonlinear Function Approximation - Shuhang Chen; Adithya M. Devraj; Fan Lu; Ana Busic; Sean P. Meyn (Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual, 2020)

Explicit Mean-Square Error Bounds for Monte-Carlo and Linear Stochastic Approximation - Shuhang Chen; Adithya M. Devraj; Ana Busic; Sean P. Meyn (CoRR, 2020)

Q-learning with Uniformly Bounded Variance: Large Discounting is Not a Barrier to Fast Learning - Adithya M. Devraj; Sean P. Meyn (CoRR, 2020)

Lecture Notes on Control System Theory and Design - Tamer Basar; Sean P. Meyn; William R. Perkins (CoRR, 2020)

Convex Q-Learning, Part 1: Deterministic Optimal Control - Prashant G. Mehta; Sean P. Meyn (CoRR, 2020)

Accelerating Optimization and Reinforcement Learning with Quasi-Stochastic Approximation - Shuhang Chen; Adithya M. Devraj; Andrey Bernstein; Sean P. Meyn (CoRR, 2020)

On Matrix Momentum Stochastic Approximation and Applications to Q-learning - Adithya M. Devraj; Ana Busic; Sean P. Meyn (57th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2019, Monticello, IL, USA, September 24-27, 2019, 2019)

Gain Function Tracking in the Feedback Particle Filter - Anand Radhakrishnan; Sean P. Meyn (2019 American Control Conference, ACC 2019, Philadelphia, PA, USA, July 10-12, 2019, 2019)

An Approach to Duality in Nonlinear Filtering - Jin-Won Kim; Amirhossein Taghvaei; Prashant G. Mehta; Sean P. Meyn (2019 American Control Conference, ACC 2019, Philadelphia, PA, USA, July 10-12, 2019, 2019)

Data-driven proximal algorithms for the design of structured optimal feedback gains - Sepideh Hassan-Moghaddam; Mihailo R. Jovanovic; Sean P. Meyn (2019 American Control Conference, ACC 2019, Philadelphia, PA, USA, July 10-12, 2019, 2019)

What is the Lagrangian for Nonlinear Filtering? - Jin-Won Kim; Prashant G. Mehta; Sean P. Meyn (58th IEEE Conference on Decision and Control, CDC 2019, Nice, France, December 11-13, 2019, 2019)

Kullback-Leibler-Quadratic Optimal Control of Flexible Power Demand - Neil Cammardella; Ana Busic; Yuting Ji; Sean P. Meyn (58th IEEE Conference on Decision and Control, CDC 2019, Nice, France, December 11-13, 2019, 2019)

Quasi-Stochastic Approximation and Off-Policy Reinforcement Learning - Andrey Bernstein; Yue Chen; Marcello Colombino; Emiliano Dall'Anese; Prashant G. Mehta; Sean P. Meyn (58th IEEE Conference on Decision and Control, CDC 2019, Nice, France, December 11-13, 2019, 2019)

State Space Collapse in Resource Allocation for Demand Dispatch - Joel Mathias; Robert Moye; Sean P. Meyn; Joseph Warrington (58th IEEE Conference on Decision and Control, CDC 2019, Nice, France, December 11-13, 2019, 2019)

Distributed Control of Thermostatically Controlled Loads: Kullback-Leibler Optimal Control in Continuous Time - Ana Busic; Sean P. Meyn (58th IEEE Conference on Decision and Control, CDC 2019, Nice, France, December 11-13, 2019, 2019)

Gain function approximation in the Feedback Particle Filter - Amirhossein Taghvaei; Prashant G. Mehta; Sean P. Meyn (CoRR, 2019)

Zap~Q-Learning for Optimal Stopping Time Problems - Shuhang Chen; Adithya M. Devraj; Ana Busic; Sean P. Meyn (CoRR, 2019)

State Space Collapse in Resource Allocation for Demand Dispatch - Joel Mathias; Robert Moye; Sean P. Meyn; Joseph Warrington (CoRR, 2019)

Aggregate capacity of TCLs with cycling constraints - Austin R. Coffman; Neil Cammardella; Prabir Barooah; Sean P. Meyn (CoRR, 2019)

Model-Free Primal-Dual Methods for Network Optimization with Application to Real-Time Optimal Power Flow - Yue Chen; Andrey Bernstein; Adithya M. Devraj; Sean P. Meyn (CoRR, 2019)

Zap Q-Learning With Nonlinear Function Approximation - Shuhang Chen; Adithya M. Devraj; Ana Busic; Sean P. Meyn (CoRR, 2019)

Ordinary Differential Equation Methods for Markov Decision Processes and Application to Kullback-Leibler Control Cost - Ana Busic; Sean P. Meyn (SIAM J. Control. Optim., 2018)

Distributed Computation of Equilibria in Misspecified Convex Stochastic Nash Games - Hao Jiang; Uday V. Shanbhag; Sean P. Meyn (IEEE Trans. Autom. Control., 2018)

Estimation and Control of Quality of Service in Demand Dispatch - Yue Chen; Ana Busic; Sean P. Meyn (IEEE Trans. Smart Grid, 2018)

Feedback Particle Filter Design Using a Differential-Loss Reproducing Kernel Hilbert Space - Anand Radhakrishnan; Sean P. Meyn (2018 Annual American Control Conference, ACC 2018, Milwaukee, WI, USA, June 27-29, 2018, 2018)

Balancing California's Grid Without Batteries - Neil Cammardella; Joel Mathias; Matthew Kiener; Ana Busic; Sean P. Meyn (57th IEEE Conference on Decision and Control, CDC 2018, Miami, FL, USA, December 17-19, 2018, 2018)

Action-Constrained Markov Decision Processes With Kullback-Leibler Cost - Ana Busic; Sean P. Meyn (Conference On Learning Theory, COLT 2018, Stockholm, Sweden, 6-9 July 2018, 2018)

The Use of Marginal Energy Costs in the Design of U.S. Capacity Markets - Robert Moye; Sean P. Meyn (51st Hawaii International Conference on System Sciences, HICSS 2018, Hilton Waikoloa Village, Hawaii, USA, January 3-6, 2018, 2018)

Zap Meets Momentum: Stochastic Approximation Algorithms with Optimal Convergence Rate - Adithya M. Devraj; Ana Busic; Sean P. Meyn (CoRR, 2018)

Differential Temporal Difference Learning - Adithya M. Devraj; Ioannis Kontoyiannis; Sean P. Meyn (CoRR, 2018)

State Estimation for the Individual and the Population in Mean Field Control With Application to Demand Dispatch - Yue Chen; Ana Busic; Sean P. Meyn (IEEE Trans. Autom. Control., 2017)

Distributed control of a fleet of batteries - Ana Busic; Md Umar Hashmi; Sean P. Meyn (2017 American Control Conference, ACC 2017, Seattle, WA, USA, May 24-26, 2017, 2017)

Error estimates for the kernel gain function approximation in the feedback particle filter - Amirhossein Taghvaei; Prashant G. Mehta; Sean P. Meyn (2017 American Control Conference, ACC 2017, Seattle, WA, USA, May 24-26, 2017, 2017)

Demand Dispatch with Heterogeneous Intelligent Loads - Joel Mathias; Ana Busic; Sean P. Meyn (50th Hawaii International Conference on System Sciences, HICSS 2017, Hilton Waikoloa Village, Hawaii, USA, January 4-7, 2017, 2017)

Zap Q-Learning - Adithya M. Devraj; Sean P. Meyn (Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, December 4-9, 2017, Long Beach, CA, USA, 2017)

Fastest Convergence for Q-learning - Adithya M. Devraj; Sean P. Meyn (CoRR, 2017)

Multivariable feedback particle filter - Tao Yang; Richard S. Laugesen; Prashant G. Mehta; Sean P. Meyn (Autom., 2016)

Rationally Inattentive Control of Markov Processes - Ehsan Shafieepoorfard; Maxim Raginsky; Sean P. Meyn (SIAM J. Control. Optim., 2016)

Feedback Particle Filter for a Continuous-Time Markov Chain - Tao Yang; Prashant G. Mehta; Sean P. Meyn (IEEE Trans. Autom. Control., 2016)

Learning techniques for feedback particle filter design - Anand Radhakrishnan; Adithya M. Devraj; Sean P. Meyn (55th IEEE Conference on Decision and Control, CDC 2016, Las Vegas, NV, USA, December 12-14, 2016, 2016)

Differential TD learning for value function approximation - Adithya M. Devraj; Sean P. Meyn (55th IEEE Conference on Decision and Control, CDC 2016, Las Vegas, NV, USA, December 12-14, 2016, 2016)

Distributed randomized control for demand dispatch - Ana Busic; Sean P. Meyn (55th IEEE Conference on Decision and Control, CDC 2016, Las Vegas, NV, USA, December 12-14, 2016, 2016)

Smart Fridge / Dumb Grid? Demand Dispatch for the Power Grid of 2020 - Joel Mathias; Rim Kaddah; Ana Busic; Sean P. Meyn (49th Hawaii International Conference on System Sciences, HICSS 2016, Koloa, HI, USA, January 5-8, 2016, 2016)

Distributed Randomized Control for Demand Dispatch - Ana Busic; Sean P. Meyn (CoRR, 2016)

Differential TD Learning for Value Function Approximation - Adithya M. Devraj; Sean P. Meyn (CoRR, 2016)

Ergodic Theory for Controlled Markov Chains with Stationary Inputs - Yue Chen; Ana Busic; Sean P. Meyn (CoRR, 2016)

Ordinary Differential Equation Methods For Markov Decision Processes and Application to Kullback-Leibler Control Cost - Ana Busic; Sean P. Meyn (CoRR, 2016)

Estimation and Control of Quality of Service in Demand Dispatch - Yue Chen; Ana Busic; Sean P. Meyn (CoRR, 2016)

Demand Dispatch with Heterogeneous Intelligent Loads - Joel Mathias; Ana Busic; Sean P. Meyn (CoRR, 2016)

Poisson's Equation in Nonlinear Filtering - Richard S. Laugesen; Prashant G. Mehta; Sean P. Meyn; Maxim Raginsky (SIAM J. Control. Optim., 2015)

Approximate optimality with bounded regret in dynamic matching models - Ana Busic; Sean P. Meyn (SIGMETRICS Perform. Evaluation Rev., 2015)

Ancillary Service to the Grid Using Intelligent Deferrable Loads - Sean P. Meyn; Prabir Barooah; Ana Busic; Yue Chen; Jordan Ehren (IEEE Trans. Autom. Control., 2015)

Experimental Evaluation of Frequency Regulation From Commercial Building HVAC Systems - Yashen Lin; Prabir Barooah; Sean P. Meyn; Timothy Middelkoop (IEEE Trans. Smart Grid, 2015)

Demand side frequency regulation from commercial building HVAC systems: An experimental study - Yashen Lin; Prabir Barooah; Sean P. Meyn; Timothy Middelkoop (American Control Conference, ACC 2015, Chicago, IL, USA, July 1-3, 2015, 2015)

State estimation and mean field control with application to demand dispatch - Yue Chen; Ana Busic; Sean P. Meyn (54th IEEE Conference on Decision and Control, CDC 2015, Osaka, Japan, December 15-18, 2015, 2015)

Spectral Decomposition of Demand-Side Flexibility for Reliable Ancillary Services in a Smart Grid - Prabir Barooah; Ana Busic; Sean P. Meyn (48th Hawaii International Conference on System Sciences, HICSS 2015, Kauai, Hawaii, USA, January 5-8, 2015, 2015)

Rationally inattentive control of Markov processes - Ehsan Shafieepoorfard; Maxim Raginsky; Sean P. Meyn (CoRR, 2015)

State Estimation and Mean Field Control with Application to Demand Dispatch - Yue Chen; Ana Busic; Sean P. Meyn (CoRR, 2015)

Smart Fridge / Dumb Grid? Demand Dispatch for the Power Grid of 2020 - Joel Mathias; Rim Kaddah; Ana Busic; Sean P. Meyn (CoRR, 2015)

On the Efficiency of Equilibria in Mean-Field Oscillator Games - Huibing Yin; Prashant G. Mehta; Sean P. Meyn; Uday V. Shanbhag (Dyn. Games Appl., 2014)

Learning in Mean-Field Games - Huibing Yin; Prashant G. Mehta; Sean P. Meyn; Uday V. Shanbhag (IEEE Trans. Autom. Control., 2014)

Ancillary Service to the Grid Through Control of Fans in Commercial Building HVAC Systems - He Hao; Yashen Lin; Anupama Kowli; Prabir Barooah; Sean P. Meyn (IEEE Trans. Smart Grid, 2014)

Passive dynamics in mean field control - Ana Busic; Sean P. Meyn (53rd IEEE Conference on Decision and Control, CDC 2014, Los Angeles, CA, USA, December 15-17, 2014, 2014)

Poisson's equation in nonlinear filtering - Richard S. Laugesen; Prashant G. Mehta; Sean P. Meyn; Maxim Raginsky (53rd IEEE Conference on Decision and Control, CDC 2014, Los Angeles, CA, USA, December 15-17, 2014, 2014)

Individual risk in mean field control with application to automated demand response - Yue Chen; Ana Busic; Sean P. Meyn (53rd IEEE Conference on Decision and Control, CDC 2014, Los Angeles, CA, USA, December 15-17, 2014, 2014)

Ancillary Service to the Grid Using Intelligent Deferrable Loads - Sean P. Meyn; Prabir Barooah; Ana Busic; Yue Chen; Jordan Ehren (CoRR, 2014)

Passive Dynamics in Mean Field Control - Ana Busic; Sean P. Meyn (CoRR, 2014)

Individual risk in mean-field control models for decentralized control, with application to automated demand response - Yue Chen; Ana Busic; Sean P. Meyn (CoRR, 2014)

Optimization of Dynamic Matching Models - Ana Busic; Sean P. Meyn (CoRR, 2014)

Introduction to the Issue on Learning-Based Decision Making in Dynamic Systems Under Uncertainty - Qing Zhao; Edwin K. P. Chong; Bhaskar Krishnamachari; Amir Leshem; Sean P. Meyn; Venugopal V. Veeravalli (IEEE J. Sel. Top. Signal Process., 2013)

Large deviations for the empirical mean of an M/M/1 queue - Jose H. Blanchet; Peter W. Glynn; Sean P. Meyn (Queueing Syst. Theory Appl., 2013)

Random-Time, State-Dependent Stochastic Drift for Markov Chains and Application to Stochastic Stabilization Over Erasure Channels - Serdar Yüksel; Sean P. Meyn (IEEE Trans. Autom. Control., 2013)

Feedback Particle Filter - Tao Yang; Prashant G. Mehta; Sean P. Meyn (IEEE Trans. Autom. Control., 2013)

Generalized Error Exponents for Small Sample Universal Hypothesis Testing - Dayu Huang; Sean P. Meyn (IEEE Trans. Inf. Theory, 2013)

Ancillary service for the grid via control of commercial building HVAC systems - He Hao; Anupama Kowli; Yashen Lin; Prabir Barooah; Sean P. Meyn (American Control Conference, ACC 2013, Washington, DC, USA, June 17-19, 2013, 2013)

Multi-dimensional feedback particle filter for coupled oscillators - Adam K. Tilton; Prashant G. Mehta; Sean P. Meyn (American Control Conference, ACC 2013, Washington, DC, USA, June 17-19, 2013, 2013)

Feedback particle filter for a continuous-time Markov chain - Tao Yang; Prashant G. Mehta; Sean P. Meyn (American Control Conference, ACC 2013, Washington, DC, USA, June 17-19, 2013, 2013)

Rational inattention in controlled Markov processes - Ehsan Shafieepoorfard; Maxim Raginsky; Sean P. Meyn (American Control Conference, ACC 2013, Washington, DC, USA, June 17-19, 2013, 2013)

A feedback particle filter-based approach to optimal control with partial observations - Prashant G. Mehta; Sean P. Meyn (Proceedings of the 52nd IEEE Conference on Decision and Control, CDC 2013, Florence, Italy, December 10-13, 2013, 2013)

Ancillary service to the grid from deferrable loads: The case for intelligent pool pumps in Florida - Sean P. Meyn; Prabir Barooah; Ana Busic; Jordan Ehren (Proceedings of the 52nd IEEE Conference on Decision and Control, CDC 2013, Florence, Italy, December 10-13, 2013, 2013)

Low-frequency power-grid ancillary services from commercial building HVAC systems - Yashen Lin; Prabir Barooah; Sean P. Meyn (IEEE Fourth International Conference on Smart Grid Communications, SmartGridComm 2013, Vancouver, BC, Canada, October 21-24, 2013, 2013)

Approximate dynamic programming using fluid and diffusion approximations with applications to power management - Wei Chen; Dayu Huang; Ankur A. Kulkarni; Jayakrishnan Unnikrishnan; Quanyan Zhu; Prashant G. Mehta; Sean P. Meyn; Adam Wierman (CoRR, 2013)

Oja's algorithm for graph clustering, Markov spectral decomposition, and risk sensitive control - Vivek S. Borkar; Sean P. Meyn (Autom., 2012)

Synchronization of Coupled Oscillators is a Game - Huibing Yin; Prashant G. Mehta; Sean P. Meyn; Uday V. Shanbhag (IEEE Trans. Autom. Control., 2012)

How demand response from commercial buildings will provide the regulation needs of the grid - He Hao; Timothy Middelkoop; Prabir Barooah; Sean P. Meyn (50th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2012, Allerton Park & Retreat Center, Monticello, IL, USA, October 1-5, 2012, 2012)

On Nash equilibria in duopolistic power markets subject to make-whole uplift - Gui Wang; Uday V. Shanbhag; Sean P. Meyn (Proceedings of the 51th IEEE Conference on Decision and Control, CDC 2012, December 10-13, 2012, Maui, HI, USA, 2012)

Multivariable feedback particle filter - Tao Yang; Richard S. Laugesen; Prashant G. Mehta; Sean P. Meyn (Proceedings of the 51th IEEE Conference on Decision and Control, CDC 2012, December 10-13, 2012, Maui, HI, USA, 2012)

Feature selection for composite hypothesis testing with small samples: Fundamental limits and algorithms - Dayu Huang; Sean P. Meyn (2012 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2012, Kyoto, Japan, March 25-30, 2012, 2012)

Error exponents for composite hypothesis testing with small samples - Dayu Huang; Sean P. Meyn (2012 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2012, Kyoto, Japan, March 25-30, 2012, 2012)

Real-time prices in an entropic grid - Gui Wang; Matias Negrete-Pincetic; Anupama Kowli; Ehsan Shafieepoorfard; Sean P. Meyn; Uday V. Shanbhag (IEEE PES Innovative Smart Grid Technologies Conference, ISGT 2012, Washington, DC, USA, January 16-20, 2012, 2012)

Classification with high-dimensional sparse samples - Dayu Huang; Sean P. Meyn (Proceedings of the 2012 IEEE International Symposium on Information Theory, ISIT 2012, Cambridge, MA, USA, July 1-6, 2012, 2012)

Optimality of coincidence-based goodness of fit test for sparse sample problems - Dayu Huang; Sean P. Meyn (2012 Information Theory and Applications Workshop, ITA 2012, San Diego, CA, USA, February 5-10, 2012, 2012)

Classification with High-Dimensional Sparse Samples - Dayu Huang; Sean P. Meyn (CoRR, 2012)

Generalized Error Exponents for Sparse Sample Goodness of Fit Tests - Dayu Huang; Sean P. Meyn (CoRR, 2012)

Estimating Loynes' exponent - Ken R. Duffy; Sean P. Meyn (Queueing Syst. Theory Appl., 2011)

Optimal Kullback-Leibler Aggregation via Spectral Theory of Markov Chains - Kun Deng; Prashant G. Mehta; Sean P. Meyn (IEEE Trans. Autom. Control., 2011)

Universal and Composite Hypothesis Testing via Mismatched Divergence - Jayakrishnan Unnikrishnan; Dayu Huang; Sean P. Meyn; Amit Surana; Venugopal V. Veeravalli (IEEE Trans. Inf. Theory, 2011)

Minimax Robust Quickest Change Detection - Jayakrishnan Unnikrishnan; Venugopal V. Veeravalli; Sean P. Meyn (IEEE Trans. Inf. Theory, 2011)

A mean-field control-oriented approach to particle filtering - Tao Yang; Prashant G. Mehta; Sean P. Meyn (American Control Conference, ACC 2011, San Francisco, CA, USA, June 29 - July 1, 2011, 2011)

Quasi stochastic approximation - Darshan Shirodkar; Sean P. Meyn (American Control Conference, ACC 2011, San Francisco, CA, USA, June 29 - July 1, 2011, 2011)

On the efficiency of equilibria in mean-field oscillator games - Huibing Yin; Prashant G. Mehta; Sean P. Meyn; Uday V. Shanbhag (American Control Conference, ACC 2011, San Francisco, CA, USA, June 29 - July 1, 2011, 2011)

TD-learning with exploration - Sean P. Meyn; Amit Surana (50th IEEE Conference on Decision and Control and European Control Conference, 11th European Control Conference, CDC/ECC 2011, Orlando, FL, USA, December 12-15, 2011, 2011)

Learning equilibria in constrained Nash-Cournot games with misspecified demand functions - Hao Jiang; Uday V. Shanbhag; Sean P. Meyn (50th IEEE Conference on Decision and Control and European Control Conference, 11th European Control Conference, CDC/ECC 2011, Orlando, FL, USA, December 12-15, 2011, 2011)

Bifurcation analysis of a heterogeneous mean-field oscillator game model - Huibing Yin; Prashant G. Mehta; Sean P. Meyn; Uday V. Shanbhag (50th IEEE Conference on Decision and Control and European Control Conference, 11th European Control Conference, CDC/ECC 2011, Orlando, FL, USA, December 12-15, 2011, 2011)

A recursive learning algorithm for model reduction of Hidden Markov Models - Kun Deng; Prashant G. Mehta; Sean P. Meyn; Mathukumalli Vidyasagar (50th IEEE Conference on Decision and Control and European Control Conference, 11th European Control Conference, CDC/ECC 2011, Orlando, FL, USA, December 12-15, 2011, 2011)

Feedback particle filter with mean-field coupling - Tao Yang; Prashant G. Mehta; Sean P. Meyn (50th IEEE Conference on Decision and Control and European Control Conference, 11th European Control Conference, CDC/ECC 2011, Orlando, FL, USA, December 12-15, 2011, 2011)

Most likely paths to error when estimating the mean of a reflected random walk - Ken R. Duffy; Sean P. Meyn (Perform. Evaluation, 2010)

On exponential ergodicity of multiclass queueing networks - David Gamarnik; Sean P. Meyn (Queueing Syst. Theory Appl., 2010)

Introduction to the special issue on information theory in molecular biology and neuroscience - Olgica Milenkovic; Gil Alterovitz; Gerard Battail; Todd P. Coleman; Joachim Hagenauer; Sean P. Meyn; Nathan D. Price; Marco Ramoni; Ilya Shmulevich; Wojciech Szpankowski (IEEE Trans. Inf. Theory, 2010)

A Random Search Framework for Convergence Analysis of Distributed Beamforming With Feedback - Che Lin; Venugopal V. Veeravalli; Sean P. Meyn (IEEE Trans. Inf. Theory, 2010)

Foreword - P. Viswanath; Sean P. Meyn (48th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2010, Monticello, IL, USA, September 29 - October 1, 2020, 2010)

Synchronization of coupled oscillators is a game - Huibing Yin; Prashant G. Mehta; Sean P. Meyn; Uday V. Shanbhag (American Control Conference, ACC 2010, Baltimore, Maryland, USA, June 30 - July 2, 2010, 2010)

Building thermal model reduction via aggregation of states - Kun Deng; Prabir Barooah; Prashant G. Mehta; Sean P. Meyn (American Control Conference, ACC 2010, Baltimore, Maryland, USA, June 30 - July 2, 2010, 2010)

The value of volatile resources in electricity markets - Sean P. Meyn; Matias Negrete-Pincetic; Gui Wang; Anupama Kowli; Ehsan Shafieepoorfard (Proceedings of the 49th IEEE Conference on Decision and Control, CDC 2010, December 15-17, 2010, Atlanta, Georgia, USA, 2010)

Optimal cross-layer wireless control policies using TD learning - Sean P. Meyn; Wei Chen; Daniel O'Neill (Proceedings of the 49th IEEE Conference on Decision and Control, CDC 2010, December 15-17, 2010, Atlanta, Georgia, USA, 2010)

Learning in mean-field oscillator games - Huibing Yin; Prashant G. Mehta; Sean P. Meyn; Uday V. Shanbhag (Proceedings of the 49th IEEE Conference on Decision and Control, CDC 2010, December 15-17, 2010, Atlanta, Georgia, USA, 2010)

Aggregation-based model reduction of a Hidden Markov Model - Kun Deng; Prashant G. Mehta; Sean P. Meyn (Proceedings of the 49th IEEE Conference on Decision and Control, CDC 2010, December 15-17, 2010, Atlanta, Georgia, USA, 2010)

Feature extraction for universal hypothesis testing via rank-constrained optimization - Dayu Huang; Sean P. Meyn (IEEE International Symposium on Information Theory, ISIT 2010, June 13-18, 2010, Austin, Texas, USA, Proceedings, 2010)

On thresholds for robust goodness-of-fit tests - Jayakrishnan Unnikrishnan; Sean P. Meyn; Venugopal V. Veeravalli (2010 IEEE Information Theory Workshop, ITW 2010, Dublin, Ireland, August 30 - September 3, 2010, 2010)

A universal divergence-rate estimator for steganalysis in timing channels - Shankar Sadasivam; Pierre Moulin; Sean P. Meyn (2010 IEEE International Workshop on Information Forensics and Security, WIFS 2010, Seattle, WA, USA, December 12-15, 2010, 2010)

Feature Extraction for Universal Hypothesis Testing via Rank-constrained Optimization - Dayu Huang; Sean P. Meyn (CoRR, 2010)

Random-Time, State-Dependent Stochastic Drift for Markov Chains and Application to Stochastic Stabilization Over Erasure Channels - Serdar Yüksel; Sean P. Meyn (CoRR, 2010)

Coding and control for communication networks - Wei Chen; Danail Traskov; Michael Heindlmaier; Muriel Médard; Sean P. Meyn; Asuman E. Ozdaglar (Queueing Syst. Theory Appl., 2009)

Stability and Asymptotic Optimality of Generalized MaxWeight Policies - Sean P. Meyn (SIAM J. Control. Optim., 2009)

An information-theoretic framework to aggregate a Markov chain - Kun Deng; Yu Sun; Prashant G. Mehta; Sean P. Meyn (American Control Conference, ACC 2009. St. Louis, Missouri, USA, June 10-12, 2009, 2009)

A sensor-utility-network method for estimation of occupancy in buildings - Sean P. Meyn; Amit Surana; Yiqing Lin; Stella Maris Oggianu; Satish Narayanan; Thomas A. Frewen (Proceedings of the 48th IEEE Conference on Decision and Control, CDC 2009, combined withe the 28th Chinese Control Conference, December 16-18, 2009, Shanghai, China, 2009)

Approximate dynamic programming using fluid and diffusion approximations with applications to power management - Wei Chen; Dayu Huang; Ankur A. Kulkarni; Jayakrishnan Unnikrishnan; Quanyan Zhu; Prashant G. Mehta; Sean P. Meyn; Adam Wierman (Proceedings of the 48th IEEE Conference on Decision and Control, CDC 2009, combined withe the 28th Chinese Control Conference, December 16-18, 2009, Shanghai, China, 2009)

Q-learning and Pontryagin's Minimum Principle - Prashant G. Mehta; Sean P. Meyn (Proceedings of the 48th IEEE Conference on Decision and Control, CDC 2009, combined withe the 28th Chinese Control Conference, December 16-18, 2009, Shanghai, China, 2009)

Anomaly detection using projective Markov models in a distributed sensor network - Sean P. Meyn; Amit Surana; Yiqing Lin; Satish Narayanan (Proceedings of the 48th IEEE Conference on Decision and Control, CDC 2009, combined withe the 28th Chinese Control Conference, December 16-18, 2009, Shanghai, China, 2009)

A simulation-based method for aggregating Markov chains - Kun Deng; Prashant G. Mehta; Sean P. Meyn (Proceedings of the 48th IEEE Conference on Decision and Control, CDC 2009, combined withe the 28th Chinese Control Conference, December 16-18, 2009, Shanghai, China, 2009)

Least favorable distributions for robust quickest change detection - Jayakrishnan Unnikrishnan; Venugopal V. Veeravalli; Sean P. Meyn (IEEE International Symposium on Information Theory, ISIT 2009, June 28 - July 3, 2009, Seoul, Korea, Proceedings, 2009)

Statistical SVMs for robust detection, supervised learning, and universal classification - Dayu Huang; Jayakrishnan Unnikrishnan; Sean P. Meyn; Venugopal V. Veeravalli; Amit Surana (2009 IEEE Information Theory Workshop, ITW 2009, Volos, Greece, June 10-12, 2009, 2009)

Universal and Composite Hypothesis Testing via Mismatched Divergence - Jayakrishnan Unnikrishnan; Dayu Huang; Sean P. Meyn; Amit Surana; Venugopal V. Veeravalli (CoRR, 2009)

Minimax Robust Quickest Change Detection - Jayakrishnan Unnikrishnan; Venugopal V. Veeravalli; Sean P. Meyn (CoRR, 2009)

Piecewise Linear Dynamic Programming for Constrained POMDPs - Joshua D. Isom; Sean P. Meyn; Richard D. Braatz (Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, AAAI 2008, Chicago, Illinois, USA, July 13-17, 2008, 2008)

Model reduction for reduced order estimation in traffic models - Joseph S. Niedbalski; Kun Deng; Prashant G. Mehta; Sean P. Meyn (American Control Conference, ACC 2008, Seattle, WA, USA, 11-13 June 2008, 2008)

Belief propagation in feedback systems: Connections to bode and observability - Yu Sun; Prashant G. Mehta; Sean P. Meyn (American Control Conference, ACC 2008, Seattle, WA, USA, 11-13 June 2008, 2008)

On complex spectra and metastability of Markov models - Sean P. Meyn; Gregory Hagen; George Mathew; Andrzej Banaszuk (Proceedings of the 47th IEEE Conference on Decision and Control, CDC 2008, December 9-11, 2008, Cancún, Mexico, 2008)

Shannon meets Bellman: Feature based Markovian models for detection and optimization - Sean P. Meyn; George Mathew (Proceedings of the 47th IEEE Conference on Decision and Control, CDC 2008, December 9-11, 2008, Cancún, Mexico, 2008)

Resource pooling for optimal evacuation of a large building - Kun Deng; Wei Chen; Prashant G. Mehta; Sean P. Meyn (Proceedings of the 47th IEEE Conference on Decision and Control, CDC 2008, December 9-11, 2008, Cancún, Mexico, 2008)

An analysis of reinforcement learning with function approximation - Francisco S. Melo; Sean P. Meyn; M. Isabel Ribeiro (Machine Learning, Proceedings of the Twenty-Fifth International Conference (ICML 2008), Helsinki, Finland, June 5-9, 2008, 2008)

Control variates as screening functions - Sofia Kyriazopoulou-Panagiotopoulou; Ioannis Kontoyiannis; Sean P. Meyn (3rd International ICST Conference on Performance Evaluation Methodologies and Tools, VALUETOOLS 2008, Athens, Greece, October 20-24, 2008, 2008)

Oja's algorithm for graph clustering and Markov spectral decomposition - Vivek S. Borkar; Sean P. Meyn (3rd International ICST Conference on Performance Evaluation Methodologies and Tools, VALUETOOLS 2008, Athens, Greece, October 20-24, 2008, 2008)

Distributed Beamforming with Feedback: Convergence Analysis - Che Lin; Venugopal V. Veeravalli; Sean P. Meyn (CoRR, 2008)

Myopic policies and maxweight policies for stochastic networks - Sean P. Meyn (46th IEEE Conference on Decision and Control, CDC 2007, New Orleans, LA, USA, December 12-14, 2007, 2007)

Efficiency and marginal cost pricing in dynamic competitive markets with friction - In-Koo Cho; Sean P. Meyn (46th IEEE Conference on Decision and Control, CDC 2007, New Orleans, LA, USA, December 12-14, 2007, 2007)

Reliability by design in distributed power transmission networks - Mike Chen; In-Koo Cho; Sean P. Meyn (Autom., 2006)

Error Exponents for Channel Coding With Application to Signal Constellation Design - Jianyi Huang; Sean P. Meyn; Muriel Médard (IEEE J. Sel. Areas Commun., 2006)

Robust Measurement-Based Admission Control Using Markov's Theory of Canonical Distributions - Charuhas Pandit; Sean P. Meyn (IEEE Trans. Inf. Theory, 2006)

ODE methods for Markov chain stability with applications to MCMC - Gersende Fort; Eric Moulines; Sean P. Meyn; Pierre Priouret (Proceedings of the 1st International Conference on Performance Evaluation Methodolgies and Tools, VALUETOOLS 2006, Pisa, Italy, October 11-13, 2006, 2006)

Exponential bounds and stopping rules for MCMC and general Markov chains - Ioannis Kontoyiannis; Luis Alfonso Lastras-Montaño; Sean P. Meyn (Proceedings of the 1st International Conference on Performance Evaluation Methodolgies and Tools, VALUETOOLS 2006, Pisa, Italy, October 11-13, 2006, 2006)

Dynamic Safety-Stocks for Asymptotic Optimality in Stochastic Networks - Sean P. Meyn (Queueing Syst. Theory Appl., 2005)

Workload Models for Stochastic Networks: Value Functions and Performance Evaluation - Sean P. Meyn (IEEE Trans. Autom. Control., 2005)

Characterization and computation of optimal distributions for channel coding - Jianyi Huang; Sean P. Meyn (IEEE Trans. Inf. Theory, 2005)

Relative entropy and exponential deviation bounds for general Markov chains - Ioannis Kontoyiannis; Luis Alfonso Lastras-Montaño; Sean P. Meyn (Proceedings of the 2005 IEEE International Symposium on Information Theory, ISIT 2005, Adelaide, South Australia, Australia, 4-9 September 2005, 2005)

Management of demand-driven production systems - Mike Chen; Richard Dubrawski; Sean P. Meyn (IEEE Trans. Autom. Control., 2004)

Capacity of time-slotted ALOHA packetized multiple-access systems over the AWGN channel - Muriel Médard; Jianyi Huang; Andrea J. Goldsmith; Sean P. Meyn; Todd P. Coleman (IEEE Trans. Wirel. Commun., 2004)

Dynamic safety-stocks for asymptotic optimality in stochastic networks - Sean P. Meyn (43rd IEEE Conference on Decision and Control, CDC 2004, Nassau, Bahamas, December 14-17, 2004, 2004)

Asymptotic robust Neyman-Pearson hypothesis testing based on moment classes - Charuhas Pandit; Sean P. Meyn; Venugopal V. Veeravalli (Proceedings of the 2004 IEEE International Symposium on Information Theory, ISIT 2004, Chicago Downtown Marriott, Chicago, Illinois, USA, June 27 - July 2, 2004, 2004)

Error exponents for channel coding and signal constellation design - Jianyi Huang; Sean P. Meyn; Muriel Médard (Proceedings of the 2004 IEEE International Symposium on Information Theory, ISIT 2004, Chicago Downtown Marriott, Chicago, Illinois, USA, June 27 - July 2, 2004, 2004)

Extremal distributions in information theory and hypothesis testing - Charuhas Pandit; Jianyi Huang; Sean P. Meyn; Venugopal V. Veeravalli (2004 IEEE Information Theory Workshop, San Antonio, TX, USA, 24-29 October, 2004, 2004)

Performance Evaluation and Policy Selection in Multiclass Networks - Shane G. Henderson; Sean P. Meyn; Vladislav B. Tadic (Discret. Event Dyn. Syst., 2003)

In Search of Sensitivity in Network Optimization - Mike Chen; Charuhas Pandit; Sean P. Meyn (Queueing Syst. Theory Appl., 2003)

Sequencing and Routing in Multiclass Queueing Networks Part II: Workload Relaxations - Sean P. Meyn (SIAM J. Control. Optim., 2003)

Bounds on the throughput of congestion controllers in the presence of feedback delay - Sanjay Shakkottai; R. Srikant; Sean P. Meyn (IEEE/ACM Trans. Netw., 2003)

Asymptotic properties of two time-scale stochastic approximation algorithms with constant step sizes - Vladislav B. Tadic; Sean P. Meyn (American Control Conference, ACC 2003, Denver, CO, USA, June 4-6 2003, 2003)

Dynamics of ancillary service prices in power distribution systems - In-Koo Cho; Sean P. Meyn (42nd IEEE Conference on Decision and Control, CDC 2003, Maui, Hawaii, USA, December 9-12, 2003, 2003)

Value functions and performance evaluation in stochastic network models - Vivek S. Borkar; Sean P. Meyn (42nd IEEE Conference on Decision and Control, CDC 2003, Maui, Hawaii, USA, December 9-12, 2003, 2003)

Randomized algorithms for semi-infinite programming problems - Vladislav B. Tadic; Sean P. Meyn; Roberto Tempo (7th European Control Conference, ECC 2003, Cambridge, UK, September 1-4, 2003, 2003)

Risk-Sensitive Optimal Control for Markov Decision Processes with Monotone Cost - Vivek S. Borkar; Sean P. Meyn (Math. Oper. Res., 2002)

Sequencing and Routing in Multiclass Queueing Networks Part I: Feedback Regulation - Sean P. Meyn (SIAM J. Control. Optim., 2001)

Boundedness of utility function based congestion controllers in the presence of delay - Sanjay Shakkottai; Rayadurgam Srikant; Sean P. Meyn (40th IEEE Conference on Decision and Control, CDC 2001, Orlando, FL, USA, 4-7 Dec., 2001, 2001)

The O.D.E. Method for Convergence of Stochastic Approximation and Reinforcement Learning - Vivek S. Borkar; Sean P. Meyn (SIAM J. Control. Optim., 2000)

Value iteration and optimization of multiclass queueing networks - Rong-Rong Chen; Sean P. Meyn (Queueing Syst. Theory Appl., 1999)

Bounds on achievable performance in the identification and adaptive control of time-varying systems - Rayadurgam Ravikanth; Sean P. Meyn (IEEE Trans. Autom. Control., 1999)

Adaptive dead-time compensation with application to a robotic welding system - Lyndon J. Brown; Sean P. Meyn; Robert A. Weber (IEEE Trans. Control. Syst. Technol., 1998)

Piecewise linear test functions for stability and instability of queueing networks - Douglas G. Down; Sean P. Meyn (Queueing Syst. Theory Appl., 1997)

The policy iteration algorithm for average reward Markov decision processes with general state space - Sean P. Meyn (IEEE Trans. Autom. Control., 1997)

Efficient Simulation of Multiclass Queueing Networks - Shane G. Henderson; Sean P. Meyn (Proceedings of the 29th conference on Winter simulation, WSC 1997, Atlanta, GA, USA, December 7-10, 1997, 1997)

Duality and linear programs for stability and performance analysis of queuing networks and scheduling policies - Poornachandran Kumar; Sean P. Meyn (IEEE Trans. Autom. Control., 1996)

Stability of queueing networks and scheduling policies - Poornachandran Kumar; Sean P. Meyn (IEEE Trans. Autom. Control., 1995)

Stability of acyclic multiclass queueing networks - Douglas G. Down; Sean P. Meyn (IEEE Trans. Autom. Control., 1995)

Stability and convergence of moments for multiclass queueing networks via fluid limit models - Jim G. Dai; Sean P. Meyn (IEEE Trans. Autom. Control., 1995)

Markov Chains and Stochastic Stability - Sean P. Meyn; Richard L. Tweedie (Springer, 1993)

Model reference adaptive control of time varying and stochastic systems - Sean P. Meyn; Lyndon J. Brown (IEEE Trans. Autom. Control., 1993)

Recurrence times of buffer overflows in Jackson networks - Sean P. Meyn; Michael R. Frater (IEEE Trans. Inf. Theory, 1993)