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10/20/2022
Neural ODEs as Feedback Policies for Nonlinear Optimal Control
Neural ordinary differential equations (Neural ODEs) model continuous ti...
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11/10/2021
Safe Real-Time Optimization using Multi-Fidelity Gaussian Processes
This paper proposes a new class of real-time optimization schemes to ove...
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04/23/2021
Safe Chance Constrained Reinforcement Learning for Batch Process Control
Reinforcement Learning (RL) controllers have generated excitement within...
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11/16/2020
Constrained Model-Free Reinforcement Learning for Process Optimization
Reinforcement learning (RL) is a control approach that can handle nonlin...
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09/18/2020
Modifier Adaptation Meets Bayesian Optimization and Derivative-Free Optimization
This paper investigates a new class of modifier-adaptation schemes to ov...
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07/30/2020
Chance Constrained Policy Optimization for Process Control and Optimization
Chemical process optimization and control are affected by 1) plant-model...
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06/04/2020