Ali Mesbah

According to our database1, Ali Mesbah authored at least 48 papers between 2009 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2021
Data-Driven Scenario Optimization for Automated Controller Tuning With Probabilistic Performance Guarantees.
IEEE Control. Syst. Lett., 2021

Fast approximate learning-based multistage nonlinear model predictive control using Gaussian processes and deep neural networks.
Comput. Chem. Eng., 2021

2020
Stochastic model predictive control with joint chance constraints.
Int. J. Control, 2020

Approximate Closed-Loop Robust Model Predictive Control With Guaranteed Stability and Constraint Satisfaction.
IEEE Control. Syst. Lett., 2020

A Data-Driven Automatic Tuning Method for MPC under Uncertainty using Constrained Bayesian Optimization.
CoRR, 2020

PoCET: a Polynomial Chaos Expansion Toolbox for Matlab.
CoRR, 2020

An internal model control design method for failure-tolerant control with multiple objectives.
Comput. Chem. Eng., 2020

Surrogate modeling for fast uncertainty quantification: Application to 2D population balance models.
Comput. Chem. Eng., 2020

Stability analysis and stabilization of discrete-time non-homogeneous semi-Markov jump linear systems: A polytopic approach.
Autom., 2020

Learning-based Stochastic Model Predictive Control with State-Dependent Uncertainty.
Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

Tractable Global Solutions to Bayesian Optimal Experiment Design.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

A Low-complexity Tube Controller using Contractive Invariant Sets.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Safe Learning-based Model Predictive Control under State- and Input-dependent Uncertainty using Scenario Trees.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019
Fast uncertainty quantification for dynamic flux balance analysis using non-smooth polynomial chaos expansions.
PLoS Comput. Biol., 2019

Model predictive control with active learning for stochastic systems with structural model uncertainty: Online model discrimination.
Comput. Chem. Eng., 2019

Input design for active fault diagnosis.
Annu. Rev. Control., 2019

A Constraint-Tightening Approach to Nonlinear Model Predictive Control with Chance Constraints for Stochastic Systems.
Proceedings of the 2019 American Control Conference, 2019

Fault-Tolerant Tube-Based Robust Nonlinear Model Predictive Control.
Proceedings of the 2019 American Control Conference, 2019

2018
Stochastic model predictive control - how does it work?
Comput. Chem. Eng., 2018

Stochastic model predictive control with active uncertainty learning: A Survey on dual control.
Annu. Rev. Control., 2018

Shaping the Closed-Loop Behavior of Nonlinear Systems Under Probabilistic Uncertainty Using Arbitrary Polynomial Chaos.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Stochastic Model Predictive Control with Enlarged Domain of Attraction for Offset-Free Tracking.
Proceedings of the 2018 Annual American Control Conference, 2018

Closed-Loop Active Fault Diagnosis for Stochastic Linear Systems.
Proceedings of the 2018 Annual American Control Conference, 2018

2017
A probabilistic framework for reference design for guaranteed fault diagnosis under closed-loop control.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016
Stochastic predictive control with adaptive model maintenance.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Model predictive control of thermal effects of an atmospheric pressure plasma jet for biomedical applications.
Proceedings of the 2016 American Control Conference, 2016

Lyapunov-based stochastic nonlinear model predictive control: Shaping the state probability distribution functions.
Proceedings of the 2016 American Control Conference, 2016

A polynomial chaos-based nonlinear Bayesian approach for estimating state and parameter probability distribution functions.
Proceedings of the 2016 American Control Conference, 2016

2015
Least costly closed-loop performance diagnosis and plant re-identification.
Int. J. Control, 2015

Receding-horizon Stochastic Model Predictive Control with Hard Input Constraints and Joint State Chance Constraints.
CoRR, 2015

Lyapunov-based Stochastic Nonlinear Model Predictive Control: Shaping the State Probability Density Functions.
CoRR, 2015

Stability for receding-horizon stochastic model predictive control.
Proceedings of the American Control Conference, 2015

Plant-wide model predictive control for a continuous pharmaceutical process.
Proceedings of the American Control Conference, 2015

2014
Stochastic Nonlinear Model Predictive Control with Efficient Sample Approximation of Chance Constraints.
CoRR, 2014

A Probabilistic Approach to Robust Optimal Experiment Design with Chance Constraints.
CoRR, 2014

Stability for Receding-horizon Stochastic Model Predictive Control with Chance Constraints.
CoRR, 2014

Fast stochastic model predictive control of high-dimensional systems.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Stochastic nonlinear model predictive control with probabilistic constraints.
Proceedings of the American Control Conference, 2014

2013
Model predictive control with integrated experiment design for output error systems.
Proceedings of the 12th European Control Conference, 2013

Perspectives of data-driven LPV modeling of high-purity distillation columns.
Proceedings of the 12th European Control Conference, 2013

Design of multi-objective control systems with optimal failure tolerance.
Proceedings of the 12th European Control Conference, 2013

Design of multi-objective failure-tolerant control systems for infinite-dimensional systems.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

2012
Nonlinear Model-Based Control of a Semi-Industrial Batch Crystallizer Using a Population Balance Modeling Framework.
IEEE Trans. Control. Syst. Technol., 2012

A unified experiment design framework for detection and identification in closed-loop performance diagnosis.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Batch-to-batch strategies for cooling crystallization.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Iterative Learning Control of supersaturation in batch cooling crystallization.
Proceedings of the American Control Conference, 2012

2011
Closed-loop performance diagnosis using prediction error identification.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

2009
Analysis and Testing of Ajax-based Single-page Web Applications.
PhD thesis, 2009


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