Ali Mesbah

(309e) Output-Feedback Predictive Control for Stochastic Nonlinear Systems

2016 AIChE Annual Meeting (ISBN: 978-0-8169-1097-7)

Vinay Bavdekar

(390c) Stochastic Nonlinear Model Predictive Control Using Adaptive Polynomial Chaos: Application to an Atmospheric Pressure Plasma Jet

2016 AIChE Annual Meeting (ISBN: 978-0-8169-1097-7)

Edward Buehler

(552a) Active Fault Diagnosis for Stochastic Nonlinear Systems

2016 AIChE Annual Meeting (ISBN: 978-0-8169-1097-7)

Memia Fendri

(706b) Model Predictive Control of Atmospheric Pressure Plasma Jets for Biomedical Applications

2016 AIChE Annual Meeting (ISBN: 978-0-8169-1097-7)

Dogan Gidon

David B. Graves

(706e) Stochastic Predictive Control with Closed-Loop Model Adaptation: Application to a Cold Atmospheric Plasma Jet

2016 AIChE Annual Meeting (ISBN: 978-0-8169-1097-7)

2016 AIChE Annual Meeting (ISBN: 978-0-8169-1097-7)

(636g) Dynamic Modeling of a Continuous Acetone-Butanol-Ethanol (ABE) Fermentation Process

Edward Buehler

(585b) Adaptive Multiple-Model Stochastic Predictive Control

2016 AIChE Annual Meeting (ISBN: 978-0-8169-1097-7)

2016 AIChE Annual Meeting (ISBN: 978-0-8169-1097-7)

(134b) Perspectives on Predictive Control with Dual Control Feature for Stochastic Systems

(393g) A Probabilistic Approach to Robust Experiment Design for Simultaneous Model Discrimination and Parameter Estimation: A Wnt Signaling Case Study

2016 AIChE Annual Meeting (ISBN: 978-0-8169-1097-7)

(569c) Output Feedback Lyapunov-Based Stochastic Nonlinear Model Predictive Control

2015 AIChE Annual Meeting Proceedings (ISBN: 978-0-8169-1094-6)

Vinay Bavdekar

Edward Buehler

(204f) Stochastic Model Predictive Control with Bounded Inputs and Joint State Chance Constraints: Application to a Continuous Acetone-Butanol-Ethanol Fermentation Process

2015 AIChE Annual Meeting Proceedings (ISBN: 978-0-8169-1094-6)

2015 AIChE Annual Meeting Proceedings (ISBN: 978-0-8169-1094-6)

(564b) Sample-Free Stochastic Nonlinear Model Predictive Control

Vinay Bavdekar

(170c) Effective Dose Delivery in Plasma Medicine Using a Robust MPC Approach for Mixed Stochastic and Deterministic Uncertainty

2017 Annual Meeting (ISBN: 978-0-8169-1102-8)

2017 Annual Meeting (ISBN: 978-0-8169-1102-8)

(12e) Closed-Loop Active Fault Diagnosis for Uncertain Nonlinear Systems

2017 Annual Meeting (ISBN: 978-0-8169-1102-8)

(284c) A Tractable Method for Closed-Loop Active Fault Diagnosis of Stochastic Linear Systems

2017 Annual Meeting (ISBN: 978-0-8169-1102-8)

(19h) A Critical Comparison of Stochastic and Worst-Case Robust Approaches to Optimal Experiment Design

2017 Annual Meeting (ISBN: 978-0-8169-1102-8)

(359b) Stochastic-Tube MPC for Offset-Free Tracking in the Presence of Plant-Model Mismatch

Tito Santos

(257c) Generalized Chaos Expansions with Arbitrary Multivariate Probability Measures: Applications in Closed-Loop Performance Verification for Stochastic Dynamic Systems

2018 AIChE Annual Meeting (ISBN: 978-0-8169-1108-0)

(534c) An Optimization-Based Feedback Control Strategy for Spatially-Uniform Dose Delivery Using Atmospheric Pressure Plasma Jets

2018 AIChE Annual Meeting (ISBN: 978-0-8169-1108-0)

Dogan Gidon

David B. Graves

(382d) Learning-Based Nonlinear Model Predictive Control with Chance Constraints for Stochastic Systems

2018 AIChE Annual Meeting (ISBN: 978-0-8169-1108-0)

Tito Santos

(681g) Model Predictive Control with Active Learning Under Model Uncertainty

2018 AIChE Annual Meeting (ISBN: 978-0-8169-1108-0)

(456e) Active Fault Diagnosis for Stochastic Linear Systems: Design Criteria and Implementation Issues

2018 AIChE Annual Meeting (ISBN: 978-0-8169-1108-0)

(29h) Modeling and Uncertainty Analysis of Microbial Electrosynthesis of Acetate for Martian Colonization

2018 AIChE Annual Meeting (ISBN: 978-0-8169-1108-0)

2019 AIChE Annual Meeting (ISBN: 978-0-8169-1112-7)

(522g) Contingency Planning for Fault Tolerance in Robust Nonlinear MPC

(199g) Input Design for Active Fault Diagnosis: Recent Developments, New Results, and Future Directions

2019 AIChE Annual Meeting (ISBN: 978-0-8169-1112-7)

(444b) Fast Uncertainty Quantification in Dynamic Flux Balance Analysis Models Using Sparse Multi-Element Polynomial Chaos

2019 AIChE Annual Meeting (ISBN: 978-0-8169-1112-7)

(369e) Optimal Bayesian Experiment Design for Constrained Nonlinear Dynamic Systems Using Stochastic Surrogate Models

2019 AIChE Annual Meeting (ISBN: 978-0-8169-1112-7)

(243g) A Deep Learning-Based Approach for Explicit Offset-Free Tracking Nonlinear Model Predictive Control

2019 AIChE Annual Meeting (ISBN: 978-0-8169-1112-7)

(740b) Learning-Based Model Predictive Control for Non-Equilibrium Plasmas

2019 AIChE Annual Meeting (ISBN: 978-0-8169-1112-7)

2019 AIChE Annual Meeting (ISBN: 978-0-8169-1112-7)

(752h) Constructing Efficient Surrogate Models for High-Dimensional First Principles Systems Under Uncertainty

George Makrygiorgos

Giovanni Maria Maggioni

(371ad) Adaptive Model Predictive Control with Scenario-Based Reference Optimization for Artificial Pancreas Systems

2019 AIChE Annual Meeting (ISBN: 978-0-8169-1112-7)

2019 AIChE Annual Meeting (ISBN: 978-0-8169-1112-7)

(101c) Efficient Global Solutions to Optimal Control Problems Via Polynomial Optimization and Sum-of-Squares Relaxations

(278e) Tractable Global Solutions to Bayesian Optimal Experiment Design

2020 Virtual AIChE Annual Meeting (ISBN: 978-0-8169-1114-1)

(356h) Deep Learning for Characterizing and Modeling the Dynamics of Complex Colloidal Self-Assembly Systems

2020 Virtual AIChE Annual Meeting (ISBN: 978-0-8169-1114-1)

2020 Virtual AIChE Annual Meeting (ISBN: 978-0-8169-1114-1)

(744d) Embedded Deep Learning-Based Robust Model Predictive Control for Fast-Sampling Atmospheric Pressure Plasma Jets Using Field Programmable Gate Arrays

(17f) Learning-Based MPC with State-Dependent Uncertainty Using Adaptive Scenario Trees

2020 Virtual AIChE Annual Meeting (ISBN: 978-0-8169-1114-1)

(299f) Fast Approximate Multistage NMPC with Online Scenario Tree Generation Using Active Deep Learning

2020 Virtual AIChE Annual Meeting (ISBN: 978-0-8169-1114-1)

(177e) Deep Learning for Probabilistic Uncertainty Quantification of an Integrated Biomanufacturing System for Martian Colonization

2020 Virtual AIChE Annual Meeting (ISBN: 978-0-8169-1114-1)

(436b) A Systems Engineering Approach to Biomanufacturing for Long-Duration Missions on Mars

2020 Virtual AIChE Annual Meeting (ISBN: 978-0-8169-1114-1)

Aaron J. Berliner

(434g) Goal-Oriented Model Learning with High-Fidelity Simulations Using MPC-Embedded Bayesian Optimization

2020 Virtual AIChE Annual Meeting (ISBN: 978-0-8169-1114-1)

Farshud Sorourifar

(224a) Data-Efficient Probabilistic Model Learning with Embedded High-Fidelity Knowledge for Biomanufacturing in Deep Space Manned Missions

2020 Virtual AIChE Annual Meeting (ISBN: 978-0-8169-1114-1)

Aaron J. Berliner

Adam P. Arkin

(226d) Tractable Global Solutions to Chance-Constrained Bayesian Optimal Experiment Design for Arbitrary Prior and Noise Distributions

2020 Virtual AIChE Annual Meeting (ISBN: 978-0-8169-1114-1)

(16h) Optimal Control of Dose Delivery in Atmospheric Pressure Plasma Jets

2021 Annual Meeting (ISBN: 978-0-8169-1116-5)

(182d) Physics-Constrained Deep Learning of Unmodeled Physics in Systems Governed By Stochastic Differential Equations

2021 Annual Meeting (ISBN: 978-0-8169-1116-5)

Jared O'Leary

(471f) Deep Learning for Characterizing the Structure of Three-Dimensional, Binary, Self-Assembled Colloidal Lattices

2021 Annual Meeting (ISBN: 978-0-8169-1116-5)

2021 Annual Meeting (ISBN: 978-0-8169-1116-5)

(176h) Robust Data-Driven Design of Generic Control Structures with Probabilistic Guarantees Using Gaussian Process Emulators

(644c) Deep Learning-Based Approximate Economic Model Predictive Control with Offset-Free Asymptotic Performance Guarantees Using a Modifier-Adaptation Scheme

Ketong Shao

2021 Annual Meeting (ISBN: 978-0-8169-1116-5)

Dinesh Krishnamoorthy

(434f) Optimal Scheduling of Integrated Processes Under Uncertainty for Biomanufacturing on Mars

2021 Annual Meeting (ISBN: 978-0-8169-1116-5)

Soumyajit Sen Gupta

(303g) Performance-Oriented Learning of Hybrid Models for Model Predictive Control

Amor Menezes

2021 Annual Meeting (ISBN: 978-0-8169-1116-5)

Victor Miller

(542a) A Deep Learning Approach for Chord Length Distribution Modeling of Two-Dimensional Crystals

2021 Annual Meeting (ISBN: 978-0-8169-1116-5)

Giovanni Maria Maggioni

John Tsortos

(485e) Keynote Talk: Toward Autonomy for Safe and on-Demand Biomanufacturing on Mars

2021 Annual Meeting (ISBN: 978-0-8169-1116-5)

(12a) Active Deep Learning for Scalable Approximation of Reachable and Invariant Sets for Mixed-Integer Nonlinear Systems

2021 Annual Meeting (ISBN: 978-0-8169-1116-5)

(543a) A Multi-Fidelity, Physics-Informed Approach to Active Learning-Guided Experiment Design for the Study of Ammonia Synthesis Via Plasma Catalysis

2022 Annual Meeting (ISBN: 978-0-8169-1118-9)

(235f) Data-Efficient Globally Optimal Policy-Based Reinforcement Learning Via Gradient-Accelerated Bayesian Optimization

Ketong Shao

2022 Annual Meeting (ISBN: 978-0-8169-1118-9)

(434a) End-to-End Design and Implementation of Robust MPC on Resource-Limited Hardware Using Multi-Objective Bayesian Optimization and Deep Learning

2022 Annual Meeting (ISBN: 978-0-8169-1118-9)

(624d) Data-Efficient Automated Tuning of Generic Control Structures Using Adversarially Robust Bayesian Optimization

2022 Annual Meeting (ISBN: 978-0-8169-1118-9)

(11e) Bayesian Optimization for Performance-Oriented Model Learning: An Application to Learning-Based Predictive and Parameter-Varying Control of Cold Plasmas

2022 Annual Meeting (ISBN: 978-0-8169-1118-9)

Yajie Bao

(483g) An End-to-End Design and System Integration for Biomanufacturing on Mars Under Uncertainty

Javad Mohammadpour Velni

2022 Annual Meeting (ISBN: 978-0-8169-1118-9)

(207c) Necessary Optimality-Constrained Bayesian Optimization (NOBO) for Efficiently Learning Complex Control Policies from Closed-Loop Data

Aaron J. Berliner

Anthony Abel

Stefano Cestellos-Blanco

2022 Annual Meeting (ISBN: 978-0-8169-1118-9)

(317f) Towards Personalized Cold Plasma Treatments Using Safe Explorative Bayesian Optimization

2023 AIChE Annual Meeting (ISBN: 978-0-8169-1120-2)

Kimberly J Chan

(674e) Sample-Efficient High-Dimensional MPC Tuning Using Bayesian Optimization over Sparse Axis-Aligned Subspaces

2023 AIChE Annual Meeting (ISBN: 978-0-8169-1120-2)

2024 AIChE Annual Meeting (ISBN: 978-0-8169-1122-6)

(674g) End-to-End Control Policy Learning through Implicit Differentiation with World Models

Thomas Banker

(118g) A Perspective on Learning Interpretable Control Policies: Thinking Local and Global

2024 AIChE Annual Meeting (ISBN: 978-0-8169-1122-6)

Thomas Banker

(578f) Lyapunov Neural ODE Control (L-NODEC) for Robust Policy Search in Nonlinear Systems

2024 AIChE Annual Meeting (ISBN: 978-0-8169-1122-6)

Joshua Hang Sai Ip

(712b) Gradient Information Bayesian Optimization for Composite Functions (GIBO-CF): Local Physics-Based Grey-Box Optimization in High Dimensions

2024 AIChE Annual Meeting (ISBN: 978-0-8169-1122-6)

Joshua Hang Sai Ip