Joel A. Paulson
According to our database1,
Joel A. Paulson
authored at least 31 papers
between 2014 and 2021.
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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
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
An internal model control design method for failure-tolerant control with multiple objectives.
Comput. Chem. Eng., 2020
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
Proceedings of the 2019 American Control Conference, 2019
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
Proceedings of the 2018 Annual American Control Conference, 2018
2017
Proceedings of the 2017 American Control Conference, 2017
2016
An Adaptive Model Predictive Control Strategy for Nonlinear Distributed Parameter Systems using the Type-2 Takagi-Sugeno Model.
Int. J. Fuzzy Syst., 2016
Proceedings of the 2016 American Control Conference, 2016
Output feedback model predictive control with probabilistic uncertainties for linear systems.
Proceedings of the 2016 American Control Conference, 2016
Proceedings of the 2016 American Control Conference, 2016
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
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
A combined canonical variate analysis and Fisher discriminant analysis (CVA-FDA) approach for fault diagnosis.
Comput. Chem. Eng., 2015
Proceedings of the 14th European Control Conference, 2015
Real-time model predictive control for the optimal charging of a lithium-ion battery.
Proceedings of the American Control Conference, 2015
Proceedings of the American Control Conference, 2015
Proceedings of the American Control Conference, 2015
Proceedings of the 2015 IEEE Conference on Control Applications, 2015
2014
Proceedings of the 13th European Control Conference, 2014
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014