Ali Mesbah

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 66

Top Venues

Delft University of Technology, Netherlands (PHD)

Education History

Delft University of Technology, Netherlands

PHD

Publications

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
Machine learning in process systems engineering: Challenges and opportunities. Comput. Chem. Eng. 181 (2024)
Alessandro N. Vargas, Victor Miller, Ali Mesbah, Gabriele Neretti
Low-cost sensors and circuits for plasma education: characterizing power and illuminance. CoRR (2024)
Sebastian Hirt, Maik Pfefferkorn, Ali Mesbah, Rolf Findeisen
Stability-informed Bayesian Optimization for MPC Cost Function Learning. CoRR (2024)
Kwanghyun Cho, Ketong Shao, Ali Mesbah
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. 185 (2024)
Angelo D. Bonzanini, Ali Mesbah, Stefano Di Cairano
Perception-aware model predictive control for constrained control in unknown environments. Autom. 160 (2024)
Iman Nodozi, Charlie Yan, Mira M. Khare, Abhishek Halder, Ali Mesbah
Neural Schrödinger Bridge With Sinkhorn Losses: Application to Data-Driven Minimum Effort Control of Colloidal Self-Assembly. IEEE Trans. Control. Syst. Technol. 32 (3) (2024)
Raffaele Soloperto, Ali Mesbah, Frank Allgöwer
Safe Exploration and Escape Local Minima With Model Predictive Control Under Partially Unknown Constraints. IEEE Trans. Autom. Control. 68 (12) (2023)
Pouria Karimi Shahri, Baisravan HomChaudhuri, Srinivas S. Pulugurtha, Ali Mesbah, Amir H. Ghasemi
Traffic Congestion Control Using Distributed Extremum Seeking and Filtered Feedback Linearization Control Approaches. IEEE Control. Syst. Lett. 7 (2023)
Joel A. Paulson, Farshud Sorourifar, Ali Mesbah
A Tutorial on Derivative-Free Policy Learning Methods for Interpretable Controller Representations. ACC (2023)
Iman Nodozi, Jared O'Leary, Ali Mesbah, Abhishek Halder
A Physics-informed Deep Learning Approach for Minimum Effort Stochastic Control of Colloidal Self-Assembly. ACC (2023)
Iman Nodozi, Charlie Yan, Mira M. Khare, Abhishek Halder, Ali Mesbah
Neural Schrödinger Bridge with Sinkhorn Losses: Application to Data-driven Minimum Effort Control of Colloidal Self-assembly. CoRR (2023)
Jared O'Leary, Mira M. Khare, Ali Mesbah
Novelty Search for Neuroevolutionary Reinforcement Learning of Deceptive Systems: An Application to Control of Colloidal Self-assembly. ACC (2023)
Diogo Rodrigues, Kimberly J. Chan, Ali Mesbah
Data-Driven Adaptive Optimal Control Under Model Uncertainty: An Application to Cold Atmospheric Plasmas. IEEE Trans. Control. Syst. Technol. 31 (1) (2023)
Kimberly J. Chan, Georgios Makrygiorgos, Ali Mesbah
Towards Personalized Plasma Medicine via Data-Efficient Adaptation of Fast Deep Learning-based MPC Policies. ACC (2023)
Kimberly J. Chan, Joel A. Paulson, Ali Mesbah
Safe Explorative Bayesian Optimization - Towards Personalized Treatments in Plasma Medicine. CDC (2023)
Georgios Makrygiorgos, Joel A. Paulson, Ali Mesbah
No-Regret Bayesian Optimization with Gradients Using Local Optimality-Based Constraints: Application to Closed-Loop Policy Search. CDC (2023)
Diogo Rodrigues, Ali Mesbah
Efficient Global Solutions to Single-Input Optimal Control Problems via Approximation by Sum-of-Squares Polynomials. IEEE Trans. Autom. Control. 67 (9) (2022)
Angelo D. Bonzanini, Ali Mesbah, Stefano Di Cairano
Multi-stage Perception-aware Chance-constrained MPC with Applications to Automated Driving. ACC (2022)
Angelo D. Bonzanini, David B. Graves, Ali Mesbah
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. 30 (2) (2022)
Georgios Makrygiorgos, Angelo D. Bonzanini, Victor Miller, Ali Mesbah
Performance-oriented model learning for control via multi-objective Bayesian optimization. Comput. Chem. Eng. 162 (2022)
Jared O'Leary, Joel A. Paulson, Ali Mesbah
Stochastic physics-informed neural ordinary differential equations. J. Comput. Phys. 468 (2022)
Angelo D. Bonzanini, Joel A. Paulson, Georgios Makrygiorgos, Ali Mesbah
Scalable Estimation of Invariant Sets for Mixed-Integer Nonlinear Systems using Active Deep Learning. CDC (2022)
Iman Nodozi, Jared O'Leary, Ali Mesbah, Abhishek Halder
A Physics-informed Deep Learning Approach for Minimum Effort Stochastic Control of Colloidal Self-Assembly. CoRR (2022)
Ali Mesbah, Kim Peter Wabersich, Angela P. Schoellig, Melanie N. Zeilinger, Sergio Lucia, Thomas A. Badgwell, Joel A. Paulson
Fusion of Machine Learning and MPC under Uncertainty: What Advances Are on the Horizon? ACC (2022)
Yajie Bao, Kimberly J. Chan, Ali Mesbah, Javad Mohammadpour Velni
Learning-based Adaptive-Scenario-Tree Model Predictive Control with Probabilistic Safety Guarantees Using Bayesian Neural Networks. ACC (2022)
Kimberly J. Chan, Joel A. Paulson, Ali Mesbah
Deep Learning-based Approximate Nonlinear Model Predictive Control with Offset-free Tracking for Embedded Applications. ACC (2021)
Joel A. Paulson, Ali Mesbah
Data-Driven Scenario Optimization for Automated Controller Tuning with Probabilistic Performance Guarantees. ACC (2021)
Angelo D. Bonzanini, Ali Mesbah, Stefano Di Cairano
On the Stability Properties of Perception-aware Chance-constrained MPC in Uncertain Environments. CDC (2021)
Angelo D. Bonzanini, Joel A. Paulson, Georgios Makrygiorgos, Ali Mesbah
Fast approximate learning-based multistage nonlinear model predictive control using Gaussian processes and deep neural networks. Comput. Chem. Eng. 145 (2021)
Joel A. Paulson, Ali Mesbah
Data-Driven Scenario Optimization for Automated Controller Tuning With Probabilistic Performance Guarantees. IEEE Control. Syst. Lett. 5 (4) (2021)
Jared O'Leary, Joel A. Paulson, Ali Mesbah
Stochastic Physics-Informed Neural Networks (SPINN): A Moment-Matching Framework for Learning Hidden Physics within Stochastic Differential Equations. CoRR (2021)
Angelo D. Bonzanini, Ali Mesbah, Stefano Di Cairano
Perception-Aware Chance-Constrained Model Predictive Control for Uncertain Environments. ACC (2021)
Joel A. Paulson, Ketong Shao, Ali Mesbah
Probabilistically Robust Bayesian Optimization for Data-Driven Design of Arbitrary Controllers with Gaussian Process Emulators. CDC (2021)
Zepeng Ning, Lixian Zhang, Gang Feng, Ali Mesbah
Observation for Markov Jump Piecewise-Affine Systems With Admissible Region-Switching Paths. IEEE Trans. Autom. Control. 66 (9) (2021)
Joel A. Paulson, Ali Mesbah
Approximate Closed-Loop Robust Model Predictive Control With Guaranteed Stability and Constraint Satisfaction. IEEE Control. Syst. Lett. 4 (3) (2020)
Joel A. Paulson, Ali Mesbah
A Low-complexity Tube Controller using Contractive Invariant Sets. CDC (2020)
Angelo Domenico Bonzanini, Ali Mesbah
Learning-based Stochastic Model Predictive Control with State-Dependent Uncertainty. L4DC (2020)
Farshud Sorourifar, Georgios Makrygirgos, Ali Mesbah, Joel A. Paulson
A Data-Driven Automatic Tuning Method for MPC under Uncertainty using Constrained Bayesian Optimization. CoRR (2020)
Zepeng Ning, Lixian Zhang, Ali Mesbah, Patrizio Colaneri
Stability analysis and stabilization of discrete-time non-homogeneous semi-Markov jump linear systems: A polytopic approach. Autom. 120 (2020)
Joel A. Paulson, Ali Mesbah
Data-Driven Scenario Optimization for Automated Controller Tuning with Probabilistic Performance Guarantees. CoRR (2020)
Diogo Rodrigues, Georgios Makrygiorgos, Ali Mesbah
Tractable Global Solutions to Bayesian Optimal Experiment Design. CDC (2020)
Joel A. Paulson, Edward A. Buehler, Richard D. Braatz, Ali Mesbah
Stochastic model predictive control with joint chance constraints. Int. J. Control 93 (1) (2020)
Felix Petzke, Ali Mesbah, Stefan Streif
PoCET: a Polynomial Chaos Expansion Toolbox for Matlab. CoRR (2020)
Georgios Makrygiorgos, Giovanni Maria Maggioni, Ali Mesbah
Surrogate modeling for fast uncertainty quantification: Application to 2D population balance models. Comput. Chem. Eng. 138 (2020)
Ali Mesbah, Joel A. Paulson, Richard D. Braatz
An internal model control design method for failure-tolerant control with multiple objectives. Comput. Chem. Eng. 140 (2020)
Angelo D. Bonzanini, Joel A. Paulson, Ali Mesbah
Safe Learning-based Model Predictive Control under State- and Input-dependent Uncertainty using Scenario Trees. CDC (2020)
Tor Aksel N. Heirung, Ali Mesbah
Input design for active fault diagnosis. Annu. Rev. Control. 47 (2019)
Tito L. M. Santos, Angelo D. Bonzanini, Tor Aksel N. Heirung, Ali Mesbah
A Constraint-Tightening Approach to Nonlinear Model Predictive Control with Chance Constraints for Stochastic Systems. ACC (2019)
Joel A. Paulson, Marc Martin-Casas, Ali Mesbah
Fast uncertainty quantification for dynamic flux balance analysis using non-smooth polynomial chaos expansions. PLoS Comput. Biol. 15 (8) (2019)
Tor Aksel N. Heirung, Tito L. M. Santos, Ali Mesbah
Model predictive control with active learning for stochastic systems with structural model uncertainty: Online model discrimination. Comput. Chem. Eng. 128 (2019)
Joel A. Paulson, Tor Aksel N. Heirung, Ali Mesbah
Fault-Tolerant Tube-Based Robust Nonlinear Model Predictive Control. ACC (2019)
Tor Aksel N. Heirung, Joel A. Paulson, Jared O'Leary, Ali Mesbah
Stochastic model predictive control - how does it work? Comput. Chem. Eng. 114 (2018)
Joel A. Paulson, Ali Mesbah
Shaping the Closed-Loop Behavior of Nonlinear Systems Under Probabilistic Uncertainty Using Arbitrary Polynomial Chaos. CDC (2018)
Tito L. M. Santos, Joel A. Paulson, Ali Mesbah
Stochastic Model Predictive Control with Enlarged Domain of Attraction for Offset-Free Tracking. ACC (2018)
Joel A. Paulson, Tor Aksel N. Heirung, Richard D. Braatz, Ali Mesbah
Closed-Loop Active Fault Diagnosis for Stochastic Linear Systems. ACC (2018)
Ali Mesbah
Stochastic model predictive control with active uncertainty learning: A Survey on dual control. Annu. Rev. Control. 45 (2018)
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)
Edward A. Buehler, Joel A. Paulson, Ali Mesbah
Lyapunov-based stochastic nonlinear model predictive control: Shaping the state probability distribution functions. ACC (2016)
Vinay A. Bavdekar, Victoria Ehlinger, Dogan Gidon, Ali Mesbah
Stochastic predictive control with adaptive model maintenance. CDC (2016)
Dogan Gidon, David B. Graves, Ali Mesbah
Model predictive control of thermal effects of an atmospheric pressure plasma jet for biomedical applications. ACC (2016)
Vinay A. Bavdekar, Ali Mesbah
A polynomial chaos-based nonlinear Bayesian approach for estimating state and parameter probability distribution functions. ACC (2016)
Ali Mesbah, Joel A. Paulson, Richard Lakerveld, Richard D. Braatz
Plant-wide model predictive control for a continuous pharmaceutical process. ACC (2015)
Joel A. Paulson, Edward A. Buehler, Richard D. Braatz, Ali Mesbah
Receding-horizon Stochastic Model Predictive Control with Hard Input Constraints and Joint State Chance Constraints. CoRR (2015)
Joel A. Paulson, Stefan Streif, Ali Mesbah
Stability for receding-horizon stochastic model predictive control. ACC (2015)
Edward A. Buehler, Joel A. Paulson, Ali Akhavan, Ali Mesbah
Lyapunov-based Stochastic Nonlinear Model Predictive Control: Shaping the State Probability Density Functions. CoRR (2015)
Ali Mesbah, Xavier Bombois, Marco Forgione, Håkan Hjalmarsson, Paul M. J. Van den Hof
Least costly closed-loop performance diagnosis and plant re-identification. Int. J. Control 88 (11) (2015)
Stefan Streif, Matthias Karl, Ali Mesbah
Stochastic Nonlinear Model Predictive Control with Efficient Sample Approximation of Chance Constraints. CoRR (2014)
Joel A. Paulson, Ali Mesbah, Stefan Streif, Rolf Findeisen, Richard D. Braatz
Fast stochastic model predictive control of high-dimensional systems. CDC (2014)
Ali Mesbah, Stefan Streif
A Probabilistic Approach to Robust Optimal Experiment Design with Chance Constraints. CoRR (2014)
Ali Mesbah, Stefan Streif
Stability for Receding-horizon Stochastic Model Predictive Control with Chance Constraints. CoRR (2014)
Ali Mesbah, Stefan Streif, Rolf Findeisen, Richard D. Braatz
Stochastic nonlinear model predictive control with probabilistic constraints. ACC (2014)
Ali Mesbah, Richard D. Braatz
Design of multi-objective control systems with optimal failure tolerance. ECC (2013)
Ali Mesbah, Masako Kishida, Richard D. Braatz
Design of multi-objective failure-tolerant control systems for infinite-dimensional systems. CDC (2013)
Christian A. Larsson, Mariette Annergren, Håkan Hjalmarsson, Cristian R. Rojas, Xavier Bombois, Ali Mesbah, Per Erik Modén
Model predictive control with integrated experiment design for output error systems. ECC (2013)
A. A. Bachnas, Roland Tóth, Ali Mesbah, Jobert H. A. Ludlage
Perspectives of data-driven LPV modeling of high-purity distillation columns. ECC (2013)
Marco Forgione, Ali Mesbah, Xavier Bombois, Paul M. J. Van den Hof
Iterative Learning Control of supersaturation in batch cooling crystallization. ACC (2012)
Ali Mesbah, Zoltan K. Nagy, Adrie E. M. Huesman, Herman J. M. Kramer, Paul M. J. Van den Hof
Nonlinear Model-Based Control of a Semi-Industrial Batch Crystallizer Using a Population Balance Modeling Framework. IEEE Trans. Control. Syst. Technol. 20 (5) (2012)
Ali Mesbah, Xavier Bombois, Marco Forgione, Jobert H. A. Ludlage, Per Erik Modén, Håkan Hjalmarsson, Paul M. J. Van den Hof
A unified experiment design framework for detection and identification in closed-loop performance diagnosis. CDC (2012)
Marco Forgione, Ali Mesbah, Xavier Bombois, Paul M. J. Van den Hof
Batch-to-batch strategies for cooling crystallization. CDC (2012)
Ali Mesbah, Xavier Bombois, Jobert H. A. Ludlage, Paul M. J. Van den Hof
Closed-loop performance diagnosis using prediction error identification. CDC/ECC (2011)

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Publication Activity (10 Years)

Top Topics

Top Venues

Ali Mesbah