Ali Mesbah - RankMe

99 papers A* 1C 22Journal 53Unranked 22

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Expected Improvement via Gradient Norms. CoRR Joshua Hang Sai Ip, Georgios Makrygiorgos, Ali Mesbah
2026	J	`jnl`	Stability-constrained policy optimization under unknown rewards. IFAC J. Syst. Control. Thomas Banker, Nathan P. Lawrence, Ali Mesbah
2025	J	`jnl`	A view on learning robust goal-conditioned value functions: Interplay between RL and MPC. Annu. Rev. Control. Nathan P. Lawrence, Philip D. Loewen, Michael G. Forbes, R. Bhushan Gopaluni, Ali Mesbah
2025	J	`jnl`	A view on learning robust goal-conditioned value functions: Interplay between RL and MPC. CoRR Nathan P. Lawrence, Philip D. Loewen, Michael G. Forbes, R. Bhushan Gopaluni, Ali Mesbah
2025	J	`jnl`	Imitation Learning of MPC with Neural Networks: Error Guarantees and Sparsification. CoRR Hendrik Alsmeier, Lukas Theiner, Anton Savchenko, Ali Mesbah, Rolf Findeisen
2025	C	`conf`	Local-Global Learning of Interpretable Control Policies: The Interface between MPC and Reinforcement Learning. ACC Thomas Banker, Nathan P. Lawrence, Ali Mesbah
2025	J	`jnl`	Local-Global Learning of Interpretable Control Policies: The Interface between MPC and Reinforcement Learning. CoRR Thomas Banker, Nathan P. Lawrence, Ali Mesbah
2025	—	`conf`	MPCritic: A Plug-and-Play MPC Architecture for Reinforcement Learning. CDC Nathan P. Lawrence, Thomas Banker, Ali Mesbah
2025	J	`jnl`	MPCritic: A plug-and-play MPC architecture for reinforcement learning. CoRR Nathan P. Lawrence, Thomas Banker, Ali Mesbah
2025	J	`jnl`	Model-free Reinforcement Learning for Model-based Control: Towards Safe, Interpretable and Sample-efficient Agents. CoRR Thomas Banker, Ali Mesbah
2025	J	`jnl`	Towards Scalable Bayesian Optimization via Gradient-Informed Bayesian Neural Networks. CoRR Georgios Makrygiorgos, Joshua Hang Sai Ip, Ali Mesbah
2025	A*	`conf`	User Preference Meets Pareto-Optimality in Multi-Objective Bayesian Optimization. AAAI Joshua Hang Sai Ip, Ankush Chakrabarty, Ali Mesbah, Diego Romeres
2025	J	`jnl`	User-Preference Meets Pareto-Optimality: Multi-Objective Bayesian Optimization with Local Gradient Search. CoRR Joshua Hang Sai Ip, Ankush Chakrabarty, Ali Mesbah, Diego Romeres
2025	J	`jnl`	Why Goal-Conditioned Reinforcement Learning Works: Relation to Dual Control. CoRR Nathan P. Lawrence, Ali Mesbah
2024	J	`jnl`	A Practical Multiobjective Learning Framework for Optimal Hardware-Software Co-Design of Control-on-a-Chip Systems. IEEE Trans. Control. Syst. Technol. Kimberly J. Chan, Joel A. Paulson, Ali Mesbah
2024	J	`jnl`	Coactive Preference-Guided Multi-Objective Bayesian Optimization: An Application to Policy Learning in Personalized Plasma Medicine. IEEE Control. Syst. Lett. Ketong Shao, Ankush Chakrabarty, Ali Mesbah, Diego Romeres
2024	—	`conf`	Imitation Learning of MPC with Neural Networks: Error Guarantees and Sparsification. CDC Hendrik Alsmeier, Lukas Theiner, Anton Savchenko, Ali Mesbah, Rolf Findeisen
2024	J	`jnl`	Low-cost sensors and circuits for plasma education: characterizing power and illuminance. CoRR Alessandro N. Vargas, Victor Miller, Ali Mesbah, Gabriele Neretti
2024	J	`jnl`	Lyapunov Neural ODE Feedback Control Policies. CoRR Joshua Hang Sai Ip, Georgios Makrygiorgos, Ali Mesbah
2024	J	`jnl`	Machine learning in process systems engineering: Challenges and opportunities. Comput. Chem. Eng. Prodromos Daoutidis, Jay H. Lee, Srinivas Rangarajan, Leo Chiang, R. Bhushan Gopaluni, Artur M. Schweidtmann, Iiro Harjunkoski, Mehmet Mercangöz, Ali Mesbah, Fani Boukouvala, Fernando V. Lima, Ehecatl Antonio del Rio-Chanona, Christos Georgakis
2024	J	`jnl`	Neural Schrödinger Bridge With Sinkhorn Losses: Application to Data-Driven Minimum Effort Control of Colloidal Self-Assembly. IEEE Trans. Control. Syst. Technol. Iman Nodozi, Charlie Yan, Mira M. Khare, Abhishek Halder, Ali Mesbah
2024	J	`jnl`	Perception-aware model predictive control for constrained control in unknown environments. Autom. Angelo D. Bonzanini, Ali Mesbah, Stefano Di Cairano
2024	J	`jnl`	Run-indexed time-varying Bayesian optimization with positional encoding for auto-tuning of controllers: Application to a plasma-assisted deposition process with run-to-run drifts. Comput. Chem. Eng. Kwanghyun Cho, Ketong Shao, Ali Mesbah
2024	J	`jnl`	Stability-informed Bayesian Optimization for MPC Cost Function Learning. CoRR Sebastian Hirt, Maik Pfefferkorn, Ali Mesbah, Rolf Findeisen
2023	C	`conf`	A Physics-informed Deep Learning Approach for Minimum Effort Stochastic Control of Colloidal Self-Assembly. ACC Iman Nodozi, Jared O'Leary, Ali Mesbah, Abhishek Halder
2023	C	`conf`	A Tutorial on Derivative-Free Policy Learning Methods for Interpretable Controller Representations. ACC Joel A. Paulson, Farshud Sorourifar, Ali Mesbah
2023	J	`jnl`	Data-Driven Adaptive Optimal Control Under Model Uncertainty: An Application to Cold Atmospheric Plasmas. IEEE Trans. Control. Syst. Technol. Diogo Rodrigues, Kimberly J. Chan, Ali Mesbah
2023	J	`jnl`	Neural Schrödinger Bridge with Sinkhorn Losses: Application to Data-driven Minimum Effort Control of Colloidal Self-assembly. CoRR Iman Nodozi, Charlie Yan, Mira M. Khare, Abhishek Halder, Ali Mesbah
2023	—	`conf`	No-Regret Bayesian Optimization with Gradients Using Local Optimality-Based Constraints: Application to Closed-Loop Policy Search. CDC Georgios Makrygiorgos, Joel A. Paulson, Ali Mesbah
2023	C	`conf`	Novelty Search for Neuroevolutionary Reinforcement Learning of Deceptive Systems: An Application to Control of Colloidal Self-assembly. ACC Jared O'Leary, Mira M. Khare, Ali Mesbah
2023	J	`jnl`	Safe Exploration and Escape Local Minima With Model Predictive Control Under Partially Unknown Constraints. IEEE Trans. Autom. Control. Raffaele Soloperto, Ali Mesbah, Frank Allgöwer
2023	—	`conf`	Safe Explorative Bayesian Optimization - Towards Personalized Treatments in Plasma Medicine. CDC Kimberly J. Chan, Joel A. Paulson, Ali Mesbah
2023	C	`conf`	Towards Personalized Plasma Medicine via Data-Efficient Adaptation of Fast Deep Learning-based MPC Policies. ACC Kimberly J. Chan, Georgios Makrygiorgos, Ali Mesbah
2023	J	`jnl`	Traffic Congestion Control Using Distributed Extremum Seeking and Filtered Feedback Linearization Control Approaches. IEEE Control. Syst. Lett. Pouria Karimi Shahri, Baisravan Homchaudhuri, Srinivas S. Pulugurtha, Ali Mesbah, Amir H. Ghasemi
2022	J	`jnl`	A Physics-informed Deep Learning Approach for Minimum Effort Stochastic Control of Colloidal Self-Assembly. CoRR Iman Nodozi, Jared O'Leary, Ali Mesbah, Abhishek Halder
2022	J	`jnl`	Efficient Global Solutions to Single-Input Optimal Control Problems via Approximation by Sum-of-Squares Polynomials. IEEE Trans. Autom. Control. Diogo Rodrigues, Ali Mesbah
2022	C	`conf`	Fusion of Machine Learning and MPC under Uncertainty: What Advances Are on the Horizon? ACC Ali Mesbah, Kim Peter Wabersich, Angela P. Schoellig, Melanie N. Zeilinger, Sergio Lucia, Thomas A. Badgwell, Joel A. Paulson
2022	J	`jnl`	Learning-Based SMPC for Reference Tracking Under State-Dependent Uncertainty: An Application to Atmospheric Pressure Plasma Jets for Plasma Medicine. IEEE Trans. Control. Syst. Technol. Angelo D. Bonzanini, David B. Graves, Ali Mesbah
2022	C	`conf`	Learning-based Adaptive-Scenario-Tree Model Predictive Control with Probabilistic Safety Guarantees Using Bayesian Neural Networks. ACC Yajie Bao, Kimberly J. Chan, Ali Mesbah, Javad Mohammadpour Velni
2022	C	`conf`	Multi-stage Perception-aware Chance-constrained MPC with Applications to Automated Driving. ACC Angelo D. Bonzanini, Ali Mesbah, Stefano Di Cairano
2022	J	`jnl`	Performance-oriented model learning for control via multi-objective Bayesian optimization. Comput. Chem. Eng. Georgios Makrygiorgos, Angelo D. Bonzanini, Victor Miller, Ali Mesbah
2022	—	`conf`	Scalable Estimation of Invariant Sets for Mixed-Integer Nonlinear Systems using Active Deep Learning. CDC Angelo D. Bonzanini, Joel A. Paulson, Georgios Makrygiorgos, Ali Mesbah
2022	J	`jnl`	Stochastic physics-informed neural ordinary differential equations. J. Comput. Phys. Jared O'Leary, Joel A. Paulson, Ali Mesbah
2021	J	`jnl`	Data-Driven Scenario Optimization for Automated Controller Tuning With Probabilistic Performance Guarantees. IEEE Control. Syst. Lett. Joel A. Paulson, Ali Mesbah
2021	C	`conf`	Data-Driven Scenario Optimization for Automated Controller Tuning with Probabilistic Performance Guarantees. ACC Joel A. Paulson, Ali Mesbah
2021	C	`conf`	Deep Learning-based Approximate Nonlinear Model Predictive Control with Offset-free Tracking for Embedded Applications. ACC Kimberly J. Chan, Joel A. Paulson, Ali Mesbah
2021	J	`jnl`	Fast approximate learning-based multistage nonlinear model predictive control using Gaussian processes and deep neural networks. Comput. Chem. Eng. Angelo D. Bonzanini, Joel A. Paulson, Georgios Makrygiorgos, Ali Mesbah
2021	J	`jnl`	Observation for Markov Jump Piecewise-Affine Systems With Admissible Region-Switching Paths. IEEE Trans. Autom. Control. Zepeng Ning, Lixian Zhang, Gang Feng, Ali Mesbah
2021	—	`conf`	On the Stability Properties of Perception-aware Chance-constrained MPC in Uncertain Environments. CDC Angelo D. Bonzanini, Ali Mesbah, Stefano Di Cairano
2021	C	`conf`	Perception-Aware Chance-Constrained Model Predictive Control for Uncertain Environments. ACC Angelo D. Bonzanini, Ali Mesbah, Stefano Di Cairano
2021	—	`conf`	Probabilistically Robust Bayesian Optimization for Data-Driven Design of Arbitrary Controllers with Gaussian Process Emulators. CDC Joel A. Paulson, Ketong Shao, Ali Mesbah
2021	J	`jnl`	Stochastic Physics-Informed Neural Networks (SPINN): A Moment-Matching Framework for Learning Hidden Physics within Stochastic Differential Equations. CoRR Jared O'Leary, Joel A. Paulson, Ali Mesbah
2020	J	`jnl`	A Data-Driven Automatic Tuning Method for MPC under Uncertainty using Constrained Bayesian Optimization. CoRR Farshud Sorourifar, Georgios Makrygirgos, Ali Mesbah, Joel A. Paulson
2020	—	`conf`	A Low-complexity Tube Controller using Contractive Invariant Sets. CDC Joel A. Paulson, Ali Mesbah
2020	J	`jnl`	An internal model control design method for failure-tolerant control with multiple objectives. Comput. Chem. Eng. Ali Mesbah, Joel A. Paulson, Richard D. Braatz
2020	J	`jnl`	Approximate Closed-Loop Robust Model Predictive Control With Guaranteed Stability and Constraint Satisfaction. IEEE Control. Syst. Lett. Joel A. Paulson, Ali Mesbah
2020	J	`jnl`	Data-Driven Scenario Optimization for Automated Controller Tuning with Probabilistic Performance Guarantees. CoRR Joel A. Paulson, Ali Mesbah
2020	—	`conf`	Learning-based Stochastic Model Predictive Control with State-Dependent Uncertainty. L4DC Angelo Domenico Bonzanini, Ali Mesbah
2020	J	`jnl`	PoCET: a Polynomial Chaos Expansion Toolbox for Matlab. CoRR Felix Petzke, Ali Mesbah, Stefan Streif
2020	—	`conf`	Safe Learning-based Model Predictive Control under State- and Input-dependent Uncertainty using Scenario Trees. CDC Angelo D. Bonzanini, Joel A. Paulson, Ali Mesbah
2020	J	`jnl`	Stability analysis and stabilization of discrete-time non-homogeneous semi-Markov jump linear systems: A polytopic approach. Autom. Zepeng Ning, Lixian Zhang, Ali Mesbah, Patrizio Colaneri
2020	J	`jnl`	Stochastic model predictive control with joint chance constraints. Int. J. Control Joel A. Paulson, Edward A. Buehler, Richard D. Braatz, Ali Mesbah
2020	J	`jnl`	Surrogate modeling for fast uncertainty quantification: Application to 2D population balance models. Comput. Chem. Eng. Georgios Makrygiorgos, Giovanni Maria Maggioni, Ali Mesbah
2020	—	`conf`	Tractable Global Solutions to Bayesian Optimal Experiment Design. CDC Diogo Rodrigues, Georgios Makrygiorgos, Ali Mesbah
2019	C	`conf`	A Constraint-Tightening Approach to Nonlinear Model Predictive Control with Chance Constraints for Stochastic Systems. ACC Tito L. M. Santos, Angelo D. Bonzanini, Tor Aksel N. Heirung, Ali Mesbah
2019	J	`jnl`	Fast uncertainty quantification for dynamic flux balance analysis using non-smooth polynomial chaos expansions. PLoS Comput. Biol. Joel A. Paulson, Marc Martin-Casas, Ali Mesbah
2019	C	`conf`	Fault-Tolerant Tube-Based Robust Nonlinear Model Predictive Control. ACC Joel A. Paulson, Tor Aksel N. Heirung, Ali Mesbah
2019	J	`jnl`	Input design for active fault diagnosis. Annu. Rev. Control. Tor Aksel N. Heirung, Ali Mesbah
2019	J	`jnl`	Model predictive control with active learning for stochastic systems with structural model uncertainty: Online model discrimination. Comput. Chem. Eng. Tor Aksel N. Heirung, Tito L. M. Santos, Ali Mesbah
2018	C	`conf`	Closed-Loop Active Fault Diagnosis for Stochastic Linear Systems. ACC Joel A. Paulson, Tor Aksel N. Heirung, Richard D. Braatz, Ali Mesbah
2018	—	`conf`	Shaping the Closed-Loop Behavior of Nonlinear Systems Under Probabilistic Uncertainty Using Arbitrary Polynomial Chaos. CDC Joel A. Paulson, Ali Mesbah
2018	C	`conf`	Stochastic Model Predictive Control with Enlarged Domain of Attraction for Offset-Free Tracking. ACC Tito L. M. Santos, Joel A. Paulson, Ali Mesbah
2018	J	`jnl`	Stochastic model predictive control - how does it work? Comput. Chem. Eng. Tor Aksel N. Heirung, Joel A. Paulson, Jared O'Leary, Ali Mesbah
2018	J	`jnl`	Stochastic model predictive control with active uncertainty learning: A Survey on dual control. Annu. Rev. Control. Ali Mesbah
2017	—	`conf`	A probabilistic framework for reference design for guaranteed fault diagnosis under closed-loop control. CDC Giuseppe Roberto Marseglia, Davide Martino Raimondo, Lalo Magni, Ali Mesbah
2016	C	`conf`	A polynomial chaos-based nonlinear Bayesian approach for estimating state and parameter probability distribution functions. ACC Vinay A. Bavdekar, Ali Mesbah
2016	C	`conf`	Lyapunov-based stochastic nonlinear model predictive control: Shaping the state probability distribution functions. ACC Edward A. Buehler, Joel A. Paulson, Ali Mesbah
2016	C	`conf`	Model predictive control of thermal effects of an atmospheric pressure plasma jet for biomedical applications. ACC Dogan Gidon, David B. Graves, Ali Mesbah
2016	—	`conf`	Stochastic predictive control with adaptive model maintenance. CDC Vinay A. Bavdekar, Victoria Ehlinger, Dogan Gidon, Ali Mesbah
2015	J	`jnl`	Least costly closed-loop performance diagnosis and plant re-identification. Int. J. Control Ali Mesbah, Xavier Bombois, Marco Forgione, Håkan Hjalmarsson, Paul M. J. Van den Hof
2015	J	`jnl`	Lyapunov-based Stochastic Nonlinear Model Predictive Control: Shaping the State Probability Density Functions. CoRR Edward A. Buehler, Joel A. Paulson, Ali Akhavan, Ali Mesbah
2015	C	`conf`	Plant-wide model predictive control for a continuous pharmaceutical process. ACC Ali Mesbah, Joel A. Paulson, Richard Lakerveld, Richard D. Braatz
2015	J	`jnl`	Receding-horizon Stochastic Model Predictive Control with Hard Input Constraints and Joint State Chance Constraints. CoRR Joel A. Paulson, Edward A. Buehler, Richard D. Braatz, Ali Mesbah
2015	C	`conf`	Stability for receding-horizon stochastic model predictive control. ACC Joel A. Paulson, Stefan Streif, Ali Mesbah
2014	J	`jnl`	A Probabilistic Approach to Robust Optimal Experiment Design with Chance Constraints. CoRR Ali Mesbah, Stefan Streif
2014	—	`conf`	Fast stochastic model predictive control of high-dimensional systems. CDC Joel A. Paulson, Ali Mesbah, Stefan Streif, Rolf Findeisen, Richard D. Braatz
2014	J	`jnl`	Stability for Receding-horizon Stochastic Model Predictive Control with Chance Constraints. CoRR Ali Mesbah, Stefan Streif
2014	J	`jnl`	Stochastic Nonlinear Model Predictive Control with Efficient Sample Approximation of Chance Constraints. CoRR Stefan Streif, Matthias Karl, Ali Mesbah
2014	C	`conf`	Stochastic nonlinear model predictive control with probabilistic constraints. ACC Ali Mesbah, Stefan Streif, Rolf Findeisen, Richard D. Braatz
2013	—	`conf`	Design of multi-objective control systems with optimal failure tolerance. ECC Ali Mesbah, Richard D. Braatz
2013	—	`conf`	Design of multi-objective failure-tolerant control systems for infinite-dimensional systems. CDC Ali Mesbah, Masako Kishida, Richard D. Braatz
2013	—	`conf`	Model predictive control with integrated experiment design for output error systems. ECC Christian A. Larsson, Mariette Annergren, Håkan Hjalmarsson, Cristian R. Rojas, Xavier Bombois, Ali Mesbah, Per Erik Modén
2013	—	`conf`	Perspectives of data-driven LPV modeling of high-purity distillation columns. ECC A. A. Bachnas, Roland Tóth, Ali Mesbah, Jobert H. A. Ludlage
2012	—	`conf`	A unified experiment design framework for detection and identification in closed-loop performance diagnosis. CDC Ali Mesbah, Xavier Bombois, Marco Forgione, Jobert H. A. Ludlage, Per Erik Modén, Håkan Hjalmarsson, Paul M. J. Van den Hof
2012	—	`conf`	Batch-to-batch strategies for cooling crystallization. CDC Marco Forgione, Ali Mesbah, Xavier Bombois, Paul M. J. Van den Hof
2012	C	`conf`	Iterative Learning Control of supersaturation in batch cooling crystallization. ACC Marco Forgione, Ali Mesbah, Xavier Bombois, Paul M. J. Van den Hof
2012	J	`jnl`	Nonlinear Model-Based Control of a Semi-Industrial Batch Crystallizer Using a Population Balance Modeling Framework. IEEE Trans. Control. Syst. Technol. Ali Mesbah, Zoltán K. Nagy, Adrie E. M. Huesman, Herman J. M. Kramer, Paul M. J. Van den Hof
2011	—	`conf`	Closed-loop performance diagnosis using prediction error identification. CDC/ECC Ali Mesbah, Xavier Bombois, Jobert H. A. Ludlage, Paul M. J. Van den Hof
2009	—	`—`	Analysis and Testing of Ajax-based Single-page Web Applications. Ali Mesbah