OptiML PSE
OptiML PSE
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Bayesian Optimization
Data-Driven Optimization
Supply Chain Optimization
Reinforcement Learning
Statistical Learning
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Process Control
Deep Learning in Chemical Engineering
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1
Expert-guided Bayesian Optimisation for Human-in-the-loop Experimental Design of Known Systems
Domain experts often possess valuable physical insights that are overlooked in fully automated decision-making processes such as …
Tom Savage
,
Dr. Ehecatl Antonio del Rio Chanona
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An efficient data-driven distributionally robust MPC leveraging linear programming
This paper presents a distributionally robust data-driven model predictive control (MPC) framework for discrete-time linear systems …
Zhengang Zhong
,
Dr. Ehecatl Antonio del Rio Chanona
,
Panagiotis Petsagkourakis
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Safe Real-Time Optimization using Multi-Fidelity Gaussian Processes
This paper proposes a new class of real-time optimization schemes to overcome system-model mismatch of uncertain processes. This work’s …
Panagiotis Petsagkourakis
,
Benoit Chachuat
,
Dr. Ehecatl Antonio del Rio Chanona
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