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Davide M. Raimondo
Person information
- affiliation: University of Pavia, Department of Electrical, Computer and Biomedical Engineering, Pavia, Italy
- affiliation (former): ETH Zürich, Automatic Control Laboratory, Switzerland
- affiliation (former): Universidad de Sevilla, Escuela Superior de Ingenieros, Sevilla, Spain
2020 – today
- 2024
- [j21]Alesi A. de Paula, Davide M. Raimondo, Guilherme V. Raffo, Bruno Otávio Soares Teixeira:
Set-based state estimation for discrete-time constrained nonlinear systems: An approach based on constrained zonotopes and DC programming. Autom. 159: 111401 (2024) - [i9]Brenner S. Rego, Davide M. Raimondo, Guilherme V. Raffo:
Mixed zonotopes: a set representation suitable for unbounded systems and its application to set-based state estimation and active fault diagnosis of descriptor systems. CoRR abs/2401.10239 (2024) - 2023
- [j20]Fabrizio Dabbene, Mark Cannon, Mohammadreza Chamanbaz, Alf J. Isaksson, Martina Mammarella, Davide M. Raimondo:
Guest Editorial Special Issue on State-of-the-Art Applications of Model Predictive Control. IEEE Trans. Control. Syst. Technol. 31(5): 1965-1970 (2023) - 2022
- [j19]Brenner S. Rego, Diego Locatelli, Davide Martino Raimondo, Guilherme V. Raffo:
Joint state and parameter estimation based on constrained zonotopes. Autom. 142: 110425 (2022) - [j18]Brenner S. Rego, Stelios G. Vrachimis, Marios M. Polycarpou, Guilherme V. Raffo, Davide Martino Raimondo:
State Estimation and Leakage Detection in Water Distribution Networks Using Constrained Zonotopes. IEEE Trans. Control. Syst. Technol. 30(5): 1920-1933 (2022) - [c33]Marco Capelletti, Davide M. Raimondo, Giuseppe De Nicolao:
Regression dilution effects in wind power prediction from wind speed forecasts. CCTA 2022: 137-143 - [c32]Diego Locatelli, Angelo Tottoli, Giacomo Saccani, Davide M. Raimondo:
Thermal fault-detection in series connected Li-ion cells: a set-based approach using constrained zonotopes. CCTA 2022: 411-417 - [i8]Brenner S. Rego, Diego Locatelli, Davide Martino Raimondo, Guilherme V. Raffo:
Joint state and parameter estimation based on constrained zonotopes. CoRR abs/2204.09740 (2022) - 2021
- [j17]Brenner S. Rego, Joseph K. Scott, Davide Martino Raimondo, Guilherme V. Raffo:
Set-valued state estimation of nonlinear discrete-time systems with nonlinear invariants based on constrained zonotopes. Autom. 129: 109638 (2021) - [j16]Matteo Rubagotti, Gian Paolo Incremona, Davide Martino Raimondo, Antonella Ferrara:
Constrained Nonlinear Discrete-Time Sliding Mode Control Based on a Receding Horizon Approach. IEEE Trans. Autom. Control. 66(8): 3802-3809 (2021) - [c31]Behrouz Zoghdar-Moghadam-Shahrekohne, Andrea Pozzi, Davide Martino Raimondo:
SOS-based Stability Region Enlargement of Bilinear Power Converters through Model Predictive Control. MED 2021: 847-854 - 2020
- [j15]Brenner S. Rego, Guilherme V. Raffo, Joseph K. Scott, Davide Martino Raimondo:
Guaranteed methods based on constrained zonotopes for set-valued state estimation of nonlinear discrete-time systems. Autom. 111 (2020) - [j14]Francesca Boem, Alexander J. Gallo, Davide Martino Raimondo, Thomas Parisini:
Distributed Fault-Tolerant Control of Large-Scale Systems: An Active Fault Diagnosis Approach. IEEE Trans. Control. Netw. Syst. 7(1): 288-301 (2020) - [j13]Andrea Pozzi, Massimo Zambelli, Antonella Ferrara, Davide Martino Raimondo:
Balancing-Aware Charging Strategy for Series-Connected Lithium-Ion Cells: A Nonlinear Model Predictive Control Approach. IEEE Trans. Control. Syst. Technol. 28(5): 1862-1877 (2020) - [c30]Saehong Park, Andrea Pozzi, Michael Whitmeyer, Hector Eduardo Perez, Won Tae Joe, Davide Martino Raimondo, Scott J. Moura:
Reinforcement Learning-based Fast Charging Control Strategy for Li-ion Batteries. CCTA 2020: 100-107 - [c29]Andrea Pozzi, Sangjae Bae, Yongkeun Choi, Francesco Borrelli, Davide Martino Raimondo, Scott J. Moura:
Ecological Velocity Planning through Signalized Intersections: A Deep Reinforcement Learning Approach. CDC 2020: 245-252 - [i7]Saehong Park, Andrea Pozzi, Michael Whitmeyer, Won Tae Joe, Davide Martino Raimondo, Scott J. Moura:
Reinforcement Learning-based Fast Charging Control Strategy for Li-ion Batteries. CoRR abs/2002.02060 (2020) - [i6]Andrea Pozzi, Xiangzhong Xie, Davide Martino Raimondo, René Schenkendorf:
Global Sensitivity Methods for Design of Experiments in Lithium-ion Battery Context. CoRR abs/2004.09668 (2020) - [i5]Brenner S. Rego, Davide Martino Raimondo, Guilherme V. Raffo:
Set-based state estimation and fault diagnosis of linear discrete-time descriptor systems using constrained zonotopes. CoRR abs/2008.09732 (2020)
2010 – 2019
- 2019
- [i4]Andrea Pozzi, Massimo Zambelli, Antonella Ferrara, Davide Martino Raimondo:
Balancing-Aware Charging Strategy For Series-Connected Lithium-Ion Cells: A Nonlinear Model Predictive Control Approach. CoRR abs/1902.02122 (2019) - [i3]Brenner S. Rego, Guilherme V. Raffo, Joseph K. Scott, Davide Martino Raimondo:
Guaranteed methods based on constrained zonotopes for set-valued state estimation of nonlinear discrete-time systems. CoRR abs/1908.09950 (2019) - [i2]Andrea Pozzi, Marcello Torchio, Richard D. Braatz, Davide Martino Raimondo:
Optimal Charging of an Electric Vehicle Battery Pack: A Real-Time Sensitivity-Based MPC approach. CoRR abs/1909.12361 (2019) - 2018
- [c28]Andrea Pozzi, Marcello Torchio, Davide Martino Raimondo:
Assessing the Performance of Model-Based Energy Saving Charging Strategies in Li-Ion Cells. CCTA 2018: 806-811 - [c27]Brenner S. Rego, Davide Martino Raimondo, Guilherme V. Raffo:
Path Tracking Control with State Estimation based on Constrained Zonotopes for Aerial Load Transportation. CDC 2018: 1979-1984 - [c26]Andrea Pozzi, Gabriele Ciaramella, Krishnakumar Gopalakrishnan, Stefan Volkwein, Davide Martino Raimondo:
Optimal Design of Experiment for Parameter Estimation of a Single Particle Model for Lithiumion Batteries. CDC 2018: 6482-6487 - [c25]Brenner S. Rego, Davide Martino Raimondo, Guilherme V. Raffo:
Set-based state estimation of nonlinear systems using constrained zonotopes and interval arithmetic. ECC 2018: 1584-1589 - [c24]Andrea Pozzi, Marcello Torchio, Davide Martino Raimondo:
Film growth minimization in a Li-ion cell: a Pseudo Two Dimensional model-based optimal charging approach. ECC 2018: 1753-1758 - [i1]Andrea Pozzi, Gabriele Ciaramella, Stefan Volkwein, Davide Martino Raimondo:
Optimal design of experiments for a lithium-ion cell: parameters identification of a single particle model with electrolyte dynamics. CoRR abs/1811.08656 (2018) - 2017
- [j12]Giuseppe Roberto Marseglia, Davide Martino Raimondo:
Active fault diagnosis: A multi-parametric approach. Autom. 79: 223-230 (2017) - [c23]Sergio Lucia, Marcello Torchio, Davide Martino Raimondo, Reinhardt Klein, Richard D. Braatz, Rolf Findeisen:
Towards adaptive health-aware charging of Li-ion batteries: A real-time predictive control approach using first-principles models. ACC 2017: 4717-4722 - [c22]Giuseppe Roberto Marseglia, Davide Martino Raimondo, Lalo Magni, Ali Mesbah:
A probabilistic framework for reference design for guaranteed fault diagnosis under closed-loop control. CDC 2017: 5739-5744 - 2016
- [j11]Joseph K. Scott, Davide Martino Raimondo, Giuseppe Roberto Marseglia, Richard D. Braatz:
Constrained zonotopes: A new tool for set-based estimation and fault detection. Autom. 69: 126-136 (2016) - [j10]Davide Martino Raimondo, Giuseppe Roberto Marseglia, Richard D. Braatz, Joseph K. Scott:
Closed-loop input design for guaranteed fault diagnosis using set-valued observers. Autom. 74: 107-117 (2016) - [c21]Marcello Torchio, Carlos Ocampo-Martinez, Lalo Magni, Maria Serra Prat, Richard D. Braatz, Davide Martino Raimondo:
Fast Model Predictive Control for hydrogen outflow regulation in Ethanol Steam Reformers. ACC 2016: 5044-5049 - [c20]Davide Martino Raimondo, Francesca Boem, Alexander Gallo, Thomas Parisini:
A decentralized fault-tolerant control scheme based on Active Fault Diagnosis. CDC 2016: 2164-2169 - [c19]Marcello Torchio, Lalo Magni, Richard D. Braatz, Davide Martino Raimondo:
Optimal charging of a Li-ion cell: A hybrid Model Predictive Control approach. CDC 2016: 4053-4058 - 2015
- [c18]Marcello Torchio, Lalo Magni, Davide Martino Raimondo:
A mixed integer SDP approach for the optimal placement of energy storage devices in power grids with renewable penetration. ACC 2015: 3892-3897 - [c17]Marcello Torchio, Nicolas A. Wolff, Davide Martino Raimondo, Lalo Magni, Ulrike Krewer, R. Bhushan Gopaluni, Joel A. Paulson, Richard D. Braatz:
Real-time model predictive control for the optimal charging of a lithium-ion battery. ACC 2015: 4536-4541 - [c16]Giuseppe Roberto Marseglia, A. Arbasini, Stefano Grassi, Martin Raubal, Davide Martino Raimondo:
Optimal placement of wind turbines on a continuous domain: An MILP-based approach. ACC 2015: 5010-5015 - [c15]Lucas C. Foguth, Joel A. Paulson, Richard D. Braatz, Davide Martino Raimondo:
Fast robust model predictive control of high-dimensional systems. ECC 2015: 2009-2014 - 2014
- [j9]Daniel Axehill, Thomas Besselmann, Davide Martino Raimondo, Manfred Morari:
A parametric branch and bound approach to suboptimal explicit hybrid MPC. Autom. 50(1): 240-246 (2014) - [j8]Melanie Nicole Zeilinger, Davide Martino Raimondo, Alexander Domahidi, Manfred Morari, Colin N. Jones:
On real-time robust model predictive control. Autom. 50(3): 683-694 (2014) - [j7]Joseph K. Scott, Rolf Findeisen, Richard D. Braatz, Davide Martino Raimondo:
Input design for guaranteed fault diagnosis using zonotopes. Autom. 50(6): 1580-1589 (2014) - [c14]Joel A. Paulson, Davide Martino Raimondo, Rolf Findeisen, Richard D. Braatz, Stefan Streif:
Guaranteed active fault diagnosis for uncertain nonlinear systems. ECC 2014: 926-931 - 2013
- [c13]Joseph K. Scott, Rolf Findeisen, Richard D. Braatz, Davide Martino Raimondo:
Design of active inputs for set-based fault diagnosis. ACC 2013: 3561-3566 - [c12]Joseph K. Scott, Giuseppe Roberto Marseglia, Lalo Magni, Richard D. Braatz, Davide Martino Raimondo:
A hybrid stochastic-deterministic input design method for active fault diagnosis. CDC 2013: 5656-5661 - [c11]Kwang-Ki K. Kim, Davide Martino Raimondo, Richard D. Braatz:
Optimum input design for fault detection and diagnosis: Model-based prediction and statistical distance measures. ECC 2013: 1940-1945 - [c10]Nikolaos Kariotoglou, Sean Summers, Davide Martino Raimondo:
Hierarchical task allocation for multi-agent systems encoded by stochastic reachability specifications. ECC 2013: 2777-2782 - [c9]Davide Martino Raimondo, Richard D. Braatz, Joseph K. Scott:
Active fault diagnosis using moving horizon input design. ECC 2013: 3131-3136 - 2012
- [c8]Stephan M. Huck, Nikolaos Kariotoglou, Sean Summers, Davide Martino Raimondo, John Lygeros:
Design of importance-map based randomized patrolling strategies. COMPENG 2012: 1-6 - 2011
- [j6]Matteo Rubagotti, Davide Martino Raimondo, Antonella Ferrara, Lalo Magni:
Robust Model Predictive Control With Integral Sliding Mode in Continuous-Time Sampled-Data Nonlinear Systems. IEEE Trans. Autom. Control. 56(3): 556-570 (2011) - [c7]Nikolaos Kariotoglou, Davide Martino Raimondo, Sean Summers, John Lygeros:
A stochastic reachability framework for autonomous surveillance with pan-tilt-zoom cameras. CDC/ECC 2011: 1411-1416 - [c6]Davide Martino Raimondo, Nikolaos Kariotoglou, Sean Summers, John Lygeros:
Probabilistic certification of pan-tilt-zoom camera surveillance systems. CDC/ECC 2011: 2064-2069
2000 – 2009
- 2009
- [j5]Lalo Magni, Davide Martino Raimondo, Chiara Dalla Man, Giuseppe De Nicolao, Boris P. Kovatchev, Claudio Cobelli:
Model predictive control of glucose concentration in type I diabetic patients: An in silico trial. Biomed. Signal Process. Control. 4(4): 338-346 (2009) - [j4]Davide Martino Raimondo, Daniel Limón, Mircea Lazar, Lalo Magni, Eduardo F. Camacho:
Min-max Model Predictive Control of Nonlinear Systems: A Unifying Overview on Stability. Eur. J. Control 15(1): 5-21 (2009) - [j3]Gilberto Pin, Davide Martino Raimondo, Lalo Magni, Thomas Parisini:
Robust Model Predictive Control of Nonlinear Systems With Bounded and State-Dependent Uncertainties. IEEE Trans. Autom. Control. 54(7): 1681-1687 (2009) - [c5]Melanie Nicole Zeilinger, Colin N. Jones, Davide Martino Raimondo, Manfred Morari:
Real-time MPC - Stability through robust MPC design. CDC 2009: 3980-3986 - [c4]Matteo Rubagotti, Davide Martino Raimondo, Antonella Ferrara, Lalo Magni:
Robust Model Predictive Control of continuous-time sampled-data nonlinear systems with Integral Sliding Mode. ECC 2009: 2247-2252 - 2008
- [j2]Elisa Franco, Lalo Magni, Thomas Parisini, Marios M. Polycarpou, Davide Martino Raimondo:
Cooperative Constrained Control of Distributed Agents With Nonlinear Dynamics and Delayed Information Exchange: A Stabilizing Receding-Horizon Approach. IEEE Trans. Autom. Control. 53(1): 324-338 (2008) - [c3]Gilberto Pin, Lalo Magni, Thomas Parisini, Davide Martino Raimondo:
Robust receding - horizon control of nonlinear systems with state dependent uncertainties: An input-to-state stability approach. ACC 2008: 1667-1672 - 2007
- [c2]Davide Martino Raimondo, Teodoro Alamo, Daniel Limón, Eduardo F. Camacho:
Towards the practical implementation of min-max nonlinear Model Predictive Control. CDC 2007: 1257-1262 - 2006
- [j1]Lalo Magni, Davide Martino Raimondo, Riccardo Scattolini:
Regional Input-to-State Stability for Nonlinear Model Predictive Control. IEEE Trans. Autom. Control. 51(9): 1548-1553 (2006) - [c1]Lalo Magni, Davide Martino Raimondo, Riccardo Scattolini:
Input-to-State Stability for Nonlinear Model Predictive Control. CDC 2006: 4836-4841
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