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Jorge Poveda
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2020 – today
- 2025
- [j27]Daniel E. Ochoa, Jorge I. Poveda:
Robust global optimization on smooth compact manifolds via hybrid gradient-free dynamics. Autom. 171: 111916 (2025) - 2024
- [j26]Antonin Colot, Vishal Shenoy, Guido Cavraro, Emiliano Dall'Anese, Jorge I. Poveda:
On the Stability of Power Transmission Systems Under Persistent Inverter Attacks: A Bi-Linear Matrix Approach. IEEE Control. Syst. Lett. 8: 1853-1858 (2024) - [j25]Mahmoud Abdelgalil, Jorge I. Poveda:
Initialization-free Lie-bracket Extremum Seeking. Syst. Control. Lett. 191: 105881 (2024) - [j24]Daniel E. Ochoa, Nicolás Espitia, Jorge I. Poveda:
Prescribed-time stability in switching systems with resets: A hybrid dynamical systems approach. Syst. Control. Lett. 193: 105910 (2024) - [j23]Daniel E. Ochoa, Muhammad Umar Javed, Xudong Chen, Jorge I. Poveda:
Decentralized concurrent learning with coordinated momentum and restart. Syst. Control. Lett. 193: 105931 (2024) - [j22]Daniel E. Ochoa, Jorge I. Poveda:
Momentum-Based Nash Set-Seeking Over Networks via Multitime Scale Hybrid Dynamic Inclusions. IEEE Trans. Autom. Control. 69(7): 4245-4260 (2024) - [c40]Jorge I. Poveda:
Hybrid Dynamical Seeking Systems: Model-Free Feedback Decision-Making and Control. ACC 2024: 1984 - [c39]Michael Tang, Miroslav Krstic, Jorge I. Poveda:
On Fixed-Time Stability for a Class of Singularly Perturbed Systems Using Composite Lyapunov Functions. ACC 2024: 4783-4788 - [i10]Michael Tang, Umar Javed, Xudong Chen, Miroslav Krstic, Jorge I. Poveda:
Deception in Nash Equilibrium Seeking. CoRR abs/2407.05168 (2024) - [i9]Michael Tang, Miroslav Krstic, Jorge Poveda:
On Fixed-Time Stability for a Class of Singularly Perturbed Systems using Composite Lyapunov Functions. CoRR abs/2408.16905 (2024) - 2023
- [j21]Daniel E. Ochoa, Felipe Galarza-Jimenez, Felipe Wilches-Bernal, David A. Schoenwald, Jorge I. Poveda:
Control Systems for Low-Inertia Power Grids: A Survey on Virtual Power Plants. IEEE Access 11: 20560-20581 (2023) - [j20]Mahmoud Abdelgalil, Daniel E. Ochoa, Jorge I. Poveda:
Multi-time scale control and optimization via averaging and singular perturbation theory: From ODEs to hybrid dynamical systems. Annu. Rev. Control. 56: 100926 (2023) - [j19]Julian Barreiro-Gomez, Jorge I. Poveda:
Decentralized Laplacian Gradient Flows With Vanishing Anchors for Resource Allocation Problems With Arbitrary Initialization. IEEE Control. Syst. Lett. 7: 3747-3752 (2023) - [j18]Julian Barreiro-Gomez, Jorge I. Poveda:
Recurrent Neural Network ODE Output for Classification Problems Follows the Replicator Dynamics. IEEE Control. Syst. Lett. 7: 3783-3788 (2023) - [j17]Jorge I. Poveda, Miroslav Krstic, Tamer Basar:
Fixed-Time Nash Equilibrium Seeking in Time-Varying Networks. IEEE Trans. Autom. Control. 68(4): 1954-1969 (2023) - [j16]Muhammad Umar Javed, Jorge I. Poveda, Xudong Chen:
A Stochastic Binary Vertex-Triggering Resetting Algorithm for Global Synchronization of Pulse-Coupled Oscillators. IEEE Trans. Control. Netw. Syst. 10(4): 1707-1719 (2023) - [c38]Yilan Chen, Daniel E. Ochoa, Jason R. Marden, Jorge I. Poveda:
High-Order Decentralized Pricing Dynamics for Congestion Games: Harnessing Coordination to Achieve Acceleration. ACC 2023: 1086-1091 - [c37]Jorge I. Poveda:
Averaging in a Class of Stochastic Hybrid Dynamical Systems with Time-Varying Flow Maps. CDC 2023: 8738-8744 - [i8]Xin Chen, Jorge I. Poveda, Na Li:
Continuous-Time Zeroth-Order Dynamics with Projection Maps: Model-Free Feedback Optimization with Safety Guarantees. CoRR abs/2303.06858 (2023) - 2022
- [j15]Gianluca Bianchin, Jorge I. Poveda, Emiliano Dall'Anese:
Online optimization of switched LTI systems using continuous-time and hybrid accelerated gradient flows. Autom. 146: 110579 (2022) - [j14]Muhammad Umar Javed, Jorge I. Poveda, Xudong Chen:
Excitation Conditions for Uniform Exponential Stability of the Cooperative Gradient Algorithm Over Weakly Connected Digraphs. IEEE Control. Syst. Lett. 6: 67-72 (2022) - [j13]Felipe Galarza-Jimenez, Jorge I. Poveda, Gianluca Bianchin, Emiliano Dall'Anese:
Extremum Seeking Under Persistent Gradient Deception: A Switching Systems Approach. IEEE Control. Syst. Lett. 6: 133-138 (2022) - [j12]Daniel E. Ochoa, Jorge I. Poveda:
High-performance optimal incentive-seeking in transactive control for traffic congestion. Eur. J. Control 68: 100696 (2022) - [j11]Jorge I. Poveda, Mouhacine Benosman, Andrew R. Teel, Ricardo G. Sanfelice:
Robust Coordinated Hybrid Source Seeking With Obstacle Avoidance in Multivehicle Autonomous Systems. IEEE Trans. Autom. Control. 67(2): 706-721 (2022) - [j10]Gianluca Bianchin, Jorge Cortés, Jorge I. Poveda, Emiliano Dall'Anese:
Time-Varying Optimization of LTI Systems Via Projected Primal-Dual Gradient Flows. IEEE Trans. Control. Netw. Syst. 9(1): 474-486 (2022) - [c36]Jorge I. Poveda, Miroslav Krstic, Tamer Basar:
Fixed-Time Seeking and Tracking of Time-Varying Nash Equilibria in Noncooperative Games. ACC 2022: 794-799 - [c35]Alejandro Murillo-González, Jorge I. Poveda:
Data-Assisted Vision-Based Hybrid Control for Robust Stabilization with Obstacle Avoidance via Learning of Perception Maps. ACC 2022: 886-892 - [c34]Eduardo Mojica-Nava, Jorge I. Poveda, Nicanor Quijano:
Stackelberg Population Learning Dynamics. CDC 2022: 6395-6400 - [c33]Felipe Galarza-Jimenez, Emiliano Dall'Anese, Jorge I. Poveda:
Feedback-Based Optimization of Power Systems: Resilience to Persistent Attacks. CDC 2022: 7103-7108 - [c32]Felipe Galarza-Jimenez, Jorge Poveda, Emiliano Dall'Anese:
Sliding-Seeking Control: Model-Free Optimization with Safety Constraints. L4DC 2022: 1100-1111 - [i7]Muhammad Umar Javed, Jorge I. Poveda, Xudong Chen:
A Stochastic Binary Vertex-Triggering Resetting Algorithm for Global Synchronization of Pulse-Coupled Oscillators. CoRR abs/2203.06707 (2022) - [i6]Daniel Esteban Ochoa, Jorge I. Poveda:
Accelerated Continuous-Time Approximate Dynamic Programming via Data-Assisted Hybrid Control. CoRR abs/2204.12707 (2022) - [i5]Alejandro Murillo-González, Jorge I. Poveda:
Data-Assisted Vision-Based Hybrid Control for Robust Stabilization with Obstacle Avoidance via Learning of Perception Maps. CoRR abs/2209.01597 (2022) - 2021
- [j9]Jorge I. Poveda, Na Li:
Robust hybrid zero-order optimization algorithms with acceleration via averaging in time. Autom. 123: 109361 (2021) - [j8]Muhammad Umar Javed, Jorge I. Poveda, Xudong Chen:
Scalable resetting algorithms for synchronization of pulse-coupled oscillators over rooted directed graphs. Autom. 132: 109807 (2021) - [j7]Daniel E. Ochoa, Jorge I. Poveda, César A. Uribe, Nicanor Quijano:
Robust Optimization Over Networks Using Distributed Restarting of Accelerated Dynamics. IEEE Control. Syst. Lett. 5(1): 301-306 (2021) - [j6]Jorge I. Poveda, Miroslav Krstic:
Nonsmooth Extremum Seeking Control With User-Prescribed Fixed-Time Convergence. IEEE Trans. Autom. Control. 66(12): 6156-6163 (2021) - [c31]Muhammad Umar Javed, Jorge I. Poveda, Xudong Chen:
Excitation Conditions for Uniform ExponentiaGBl Stability of the Cooperative Gradient Algorithm over Weakly Connected Digraphs. ACC 2021: 1095-1100 - [c30]Felipe Galarza-Jimenez, Jorge I. Poveda, Gianluca Bianchin, Emiliano Dall'Anese:
Extremum Seeking Under Persistent Gradient Deception: A Switching Systems Approach. ACC 2021: 3806-3811 - [c29]Jorge I. Poveda, Miroslav Krstic:
Fixed-Time Seeking and Tracking of Time-Varying Extrema. CDC 2021: 108-113 - [c28]Felipe Galarza-Jimenez, Jorge I. Poveda, Ronny J. Kutadinata, Lele Zhang, Emiliano Dall'Anese:
Self-Optimizing Traffic Light Control Using Hybrid Accelerated Extremum Seeking. CDC 2021: 1941-1946 - [c27]Xin Chen, Jorge I. Poveda, Na Li:
Safe Model-Free Optimal Voltage Control via Continuous-Time Zeroth-Order Methods. CDC 2021: 4064-4070 - [c26]Daniel Esteban Ochoa, Jorge I. Poveda, César A. Uribe:
Computation-aware distributed optimization over networks: a hybrid dynamical systems approach. CAADCPS@CPSIoTWeek 2021: 18-19 - [c25]Daniel Esteban Ochoa, Jorge I. Poveda, Anantharam Subbaraman, Gerd S. Schmidt, Farshad R. Pour Safaei:
Accelerated Concurrent Learning Algorithms via Data-Driven Hybrid Dynamics and Nonsmooth ODEs. L4DC 2021: 866-878 - [i4]Xin Chen, Jorge I. Poveda, Na Li:
Model-Free Optimal Voltage Control via Continuous-Time Zeroth-Order Methods. CoRR abs/2103.14703 (2021) - [i3]Gianluca Bianchin, Emiliano Dall'Anese, Jorge I. Poveda, David Jacobson, Elizabeth J. Carlton, Andrea G. Buchwald:
Planning a Return to Normal after the COVID-19 Pandemic: Identifying Safe Contact Levels via Online Optimization. CoRR abs/2109.06025 (2021) - 2020
- [c24]Jorge I. Poveda, Andrew R. Teel:
The Heavy-Ball ODE with Time-Varying Damping: Persistence of Excitation and Uniform Asymptotic Stability. ACC 2020: 773-778 - [c23]Jorge I. Poveda, Miroslav Krstic:
Fixed-Time Gradient-Based Extremum Seeking. ACC 2020: 2838-2843 - [c22]Jorge I. Poveda, Miroslav Krstic, Tamer Basar:
Fixed-Time Nash Equilibrium Seeking in Non-Cooperative Games. CDC 2020: 3514-3519 - [i2]Muhammad Umar Javed, Jorge I. Poveda, Xudong Chen:
Scalable Resetting Algorithms for Synchronization of Pulse-Coupled Oscillators over Rooted Directed Graphs. CoRR abs/2006.11856 (2020) - [i1]Gianluca Bianchin, Jorge I. Poveda, Emiliano Dall'Anese:
Online Optimization of Switched LTI Systems Using Continuous-Time and Hybrid Accelerated Gradient Flows. CoRR abs/2008.03903 (2020)
2010 – 2019
- 2019
- [j5]Jorge I. Poveda, Andrew R. Teel:
Hybrid mechanisms for robust synchronization and coordination of multi-agent networked sampled-data systems. Autom. 99: 41-53 (2019) - [c21]Jorge I. Poveda, Kyriakos G. Vamvoudakis, Mouhacine Benosman:
CODES: Cooperative Data-Enabled Extremum Seeking for Multi-Agent Systems. CDC 2019: 2988-2993 - [c20]Jorge I. Poveda, Na Li:
Inducing Uniform Asymptotic Stability in Non-Autonomous Accelerated Optimization Dynamics via Hybrid Regularization. CDC 2019: 3000-3005 - [c19]Daniel E. Ochoa, Jorge I. Poveda, César A. Uribe, Nicanor Quijano:
Hybrid Robust Optimal Resource Allocation with Momentum. CDC 2019: 3954-3959 - [c18]Andrew R. Teel, Jorge I. Poveda, Justin H. Le:
First-Order Optimization Algorithms with Resets and Hamiltonian flows. CDC 2019: 5838-5843 - [c17]Muhammad Umar Javed, Jorge I. Poveda, Xudong Chen:
Global Synchronization of Clocks in Directed Rooted Acyclic Graphs: A Hybrid Systems Approach. CDC 2019: 7352-7357 - 2018
- [c16]Jorge I. Poveda, Mouhacine Benosman, Andrew R. Teel, Ricardo G. Sanfelice:
A Hybrid Adaptive Feedback Law for Robust Obstacle Avoidance and Coordination in Multiple Vehicle Systems. ACC 2018: 616-621 - [c15]Jorge I. Poveda, Ronny J. Kutadinata, Chris Manzie, Dragan Nesic, Andrew R. Teel, Chwen-Kai Liao:
Hybrid Extremum Seeking for Black-Box Optimization in Hybrid Plants: An Analytical Framework. CDC 2018: 2235-2240 - [c14]Matina Baradaran, Jorge I. Poveda, Andrew R. Teel:
Stochastic Hybrid Inclusions Applied to Global Almost Sure Optimization on Manifolds. CDC 2018: 6538-6543 - 2017
- [j4]Jorge I. Poveda, Andrew R. Teel:
A framework for a class of hybrid extremum seeking controllers with dynamic inclusions. Autom. 76: 113-126 (2017) - [j3]Jorge I. Poveda, Andrew R. Teel:
A Robust Event-Triggered Approach for Fast Sampled-Data Extremization and Learning. IEEE Trans. Autom. Control. 62(10): 4949-4964 (2017) - [c13]Jorge I. Poveda, Kyriakos G. Vamvoudakis, Mouhacine Benosman:
A neuro-adaptive architecture for extremum seeking control using hybrid learning dynamics. ACC 2017: 542-547 - [c12]Jorge I. Poveda, Philip N. Brown, Jason R. Marden, Andrew R. Teel:
A class of distributed adaptive pricing mechanisms for societal systems with limited information. CDC 2017: 1490-1495 - [c11]Tom Strizic, Jorge I. Poveda, Andrew R. Teel:
Hybrid gradient descent for robust global optimization on the circle. CDC 2017: 2985-2990 - 2016
- [j2]German D. Obando, Jorge I. Poveda, Nicanor Quijano:
Replicator dynamics under perturbations and time delays. Math. Control. Signals Syst. 28(3): 20:1-20:32 (2016) - [c10]Jorge I. Poveda, Andrew R. Teel:
Distributed robust stochastic learning in asynchronous networks of sampled-data systems. CDC 2016: 401-406 - [c9]Sven Brüggemann, Corrado Possieri, Jorge I. Poveda, Andrew R. Teel:
Robust constrained model predictive control with persistent model adaptation. CDC 2016: 2364-2369 - 2015
- [j1]Jorge I. Poveda, Nicanor Quijano:
Shahshahani gradient-like extremum seeking. Autom. 58: 51-59 (2015) - [c8]Andrew R. Teel, Jorge I. Poveda:
A hybrid systems approach to global synchronization and coordination of multi-agent sampled-data systems. ADHS 2015: 123-128 - [c7]Jorge I. Poveda, Andrew R. Teel, Dragan Nesic:
Flexible Nash seeking using stochastic difference inclusions. ACC 2015: 2236-2241 - [c6]Jorge I. Poveda, Andrew R. Teel:
Event-triggered based on-line optimization for a class of nonlinear systems. CDC 2015: 5474-5479 - 2014
- [c5]Jorge I. Poveda, Andrew R. Teel:
A hybrid seeking approach for robust learning in multi-agent systems. CDC 2014: 3463-3468 - 2013
- [c4]Jorge Poveda, Nicanor Quijano:
Distributed extremum seeking for real-time resource allocation. ACC 2013: 2772-2777 - [c3]Jorge Poveda, Nicanor Quijano:
Extremum seeking for multi-population games. CDC 2013: 409-414 - 2012
- [c2]Jorge Poveda, Nicanor Quijano:
A Shahshahani Gradient based extremum seeking scheme. CDC 2012: 5104-5109 - [c1]Jorge Poveda, Nicanor Quijano:
Dynamic bandwidth allocation in wireless networks using a Shahshahani gradient based extremum seeking control. NetGCooP 2012: 44-50
Coauthor Index
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