Joel A. Paulson

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 50

Top Topics

Gaussian Process

Predictive Control

Fault Diagnosis

Top Venues

Comput. Chem. Eng.

Publications

Wei-Ting Tang, Joel A. Paulson
CAGES: Cost-Aware Gradient Entropy Search for Efficient Local Multi-Fidelity Bayesian Optimization. CoRR (2024)
Yen-An Lu, Wei-Shou Hu, Joel A. Paulson, Qi Zhang
BO4IO: A Bayesian optimization approach to inverse optimization with uncertainty quantification. CoRR (2024)
Joel A. Paulson, Calvin Tsay
Bayesian optimization as a flexible and efficient design framework for sustainable process systems. CoRR (2024)
Prabhat K. Mishra, Joel A. Paulson, Richard D. Braatz
Polynomial Chaos-based Stochastic Model Predictive Control: An Overview and Future Research Directions. CoRR (2024)
Akshay Kudva, Wei-Ting Tang, Joel A. Paulson
Robust Bayesian optimization for flexibility analysis of expensive simulation-based models with rigorous uncertainty bounds. Comput. Chem. Eng. 181 (2024)
Wei-Ting Tang, Ankush Chakrabarty, Joel A. Paulson
BEACON: A Bayesian Optimization Strategy for Novelty Search in Expensive Black-Box Systems. CoRR (2024)
Farshud Sorourifar, Thomas Banker, Joel A. Paulson
Accelerating Black-Box Molecular Property Optimization by Adaptively Learning Sparse Subspaces. CoRR (2024)
Truong X. Nghiem, Ján Drgona, Colin N. Jones, Zoltán Nagy, Roland Schwan, Biswadip Dey, Ankush Chakrabarty, Stefano Di Cairano, Joel A. Paulson, Andrea Carron, Melanie N. Zeilinger, Wenceslao Shaw-Cortez, Draguna L. Vrabie
Physics-Informed Machine Learning for Modeling and Control of Dynamical Systems. ACC (2023)
Joel A. Paulson, Farshud Sorourifar, Christopher R. Laughman, Ankush Chakrabarty
LSR-BO: Local Search Region Constrained Bayesian Optimization for Performance Optimization of Vapor Compression Systems. ACC (2023)
Joel A. Paulson, Farshud Sorourifar, Ali Mesbah
A Tutorial on Derivative-Free Policy Learning Methods for Interpretable Controller Representations. ACC (2023)
Truong X. Nghiem, Ján Drgona, Colin N. Jones, Zoltán Nagy, Roland Schwan, Biswadip Dey, Ankush Chakrabarty, Stefano Di Cairano, Joel A. Paulson, Andrea Carron, Melanie N. Zeilinger, Wenceslao Shaw-Cortez, Draguna L. Vrabie
Physics-Informed Machine Learning for Modeling and Control of Dynamical Systems. CoRR (2023)
Kimberly J. Chan, Joel A. Paulson, Ali Mesbah
Safe Explorative Bayesian Optimization - Towards Personalized Treatments in Plasma Medicine. CDC (2023)
Congwen Lu, Joel A. Paulson
No-Regret Constrained Bayesian Optimization of Noisy and Expensive Hybrid Models using Differentiable Quantile Function Approximations. CoRR (2023)
Tong Zhao, Ekim Yurtsever, Joel A. Paulson, Giorgio Rizzoni
Formal Certification Methods for Automated Vehicle Safety Assessment. IEEE Trans. Intell. Veh. 8 (1) (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)
Dinesh Krishnamoorthy, Joel A. Paulson
Multi-agent Black-box Optimization using a Bayesian Approach to Alternating Direction Method of Multipliers. CoRR (2023)
Joel A. Paulson, Farshud Sorourifar, Ankush Chakrabarty
Efficient Multi-Step Lookahead Bayesian Optimization with Local Search Constraints. CDC (2022)
Akshay Kudva, Farshud Sorourifar, Joel A. Paulson
Efficient Robust Global Optimization for Simulation-based Problems using Decomposed Gaussian Processes: Application to MPC Calibration. ACC (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)
Joel A. Paulson, Congwen Lu
COBALT: COnstrained Bayesian optimizAtion of computationaLly expensive grey-box models exploiting derivaTive information. Comput. Chem. Eng. 160 (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)
Bhavik R. Bakshi, Joel A. Paulson
. 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, 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)
Naitik A. Choksi, Joel A. Paulson
Simulation-based Integrated Design and Control with Embedded Mixed-Integer MPC using Constrained Bayesian Optimization. ACC (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)
Joel A. Paulson, Ketong Shao, Ali Mesbah
Probabilistically Robust Bayesian Optimization for Data-Driven Design of Arbitrary Controllers with Gaussian Process Emulators. CDC (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)
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)
Joel A. Paulson, Ali Mesbah
Data-Driven Scenario Optimization for Automated Controller Tuning with Probabilistic Performance Guarantees. CoRR (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)
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)
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)
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)
Sergio Lucia, Joel A. Paulson, Rolf Findeisen, Richard D. Braatz
On stability of stochastic linear systems via polynomial chaos expansions. ACC (2017)
Edward A. Buehler, Joel A. Paulson, Ali Mesbah
Lyapunov-based stochastic nonlinear model predictive control: Shaping the state probability distribution functions. ACC (2016)
Eranda Harinath, Lucas C. Foguth, Joel A. Paulson, Richard D. Braatz
Nonlinear model predictive control using polynomial optimization methods. ACC (2016)
Tillmann Muhlpfordt, Joel A. Paulson, Richard D. Braatz, Rolf Findeisen
Output feedback model predictive control with probabilistic uncertainties for linear systems. ACC (2016)
Joel A. Paulson, Venkatasailanathan Ramadesigan, Venkat R. Subramanian, Richard D. Braatz
Control systems analysis and design of multiscale simulation models. ACC (2016)
Mengling Wang, Joel A. Paulson, Huaicheng Yan, Hongbo Shi
An Adaptive Model Predictive Control Strategy for Nonlinear Distributed Parameter Systems using the Type-2 Takagi-Sugeno Model. Int. J. Fuzzy Syst. 18 (5) (2016)
Amos E. Lu, Joel A. Paulson, Richard D. Braatz
pH and conductivity control in an integrated biomanufacturing plant. ACC (2016)
Ali Mesbah, Joel A. Paulson, Richard Lakerveld, Richard D. Braatz
Plant-wide model predictive control for a continuous pharmaceutical process. ACC (2015)
Lucas C. Foguth, Joel A. Paulson, Richard D. Braatz, Davide Martino Raimondo
Fast robust model predictive control of high-dimensional systems. ECC (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)
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)
Amos E. Lu, Joel A. Paulson, Nicholas J. Mozdzierz, Alan Stockdale, Ashlee N. Ford Versypt, Kerry R. Love, J. Christopher Love, Richard D. Braatz
Control systems technology in the advanced manufacturing of biologic drugs. CCA (2015)
Joel A. Paulson, Stefan Streif, Ali Mesbah
Stability for receding-horizon stochastic model predictive control. ACC (2015)
Benben Jiang, Xiaoxiang Zhu, Dexian Huang, Joel A. Paulson, Richard D. Braatz
A combined canonical variate analysis and Fisher discriminant analysis (CVA-FDA) approach for fault diagnosis. Comput. Chem. Eng. 77 (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)
Joel A. Paulson, Ali Mesbah, Stefan Streif, Rolf Findeisen, Richard D. Braatz
Fast stochastic model predictive control of high-dimensional systems. CDC (2014)
Joel A. Paulson, Davide Martino Raimondo, Rolf Findeisen, Richard D. Braatz, Stefan Streif
Guaranteed active fault diagnosis for uncertain nonlinear systems. ECC (2014)