A hybrid Gaussian process approach to robust economic model predictive control-Reference-Cited by-同舟云学术

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A hybrid Gaussian process approach to robust economic model predictive control

Published:2020-08 Issue: Volume:92 Page:149-160
ISSN:0959-1524
Container-title:Journal of Process Control
language:en
Short-container-title:Journal of Process Control

Author:

Rostam Mohammadreza,Nagamune Ryozo,Grebenyuk Vladimir^ORCID

Funder

Natural Sciences and Engineering Research Council of Canada

Ascent Systems Technologies

University of British Columbia

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,Modeling and Simulation,Control and Systems Engineering

Reference42 articles.

1. Economic Model Predictive Control: Theory, Formulations and Chemical Process Applications;Ellis,2016

2. Economic model predictive control of chemical processes with parameter uncertainty;Santander;Comput. Chem. Eng.,2016

3. Economic model predictive control of wastewater treatment processes;Zeng;Ind. Eng. Chem. Res.,2015

4. Demand reduction in building energy systems based on economic model predictive control;Ma;Chem. Eng. Sci.,2012

5. Model predictive control (MPC) for enhancing building and HVAC system energy efficiency: Problem formulation, applications and opportunities;Serale;Energies,2018

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1. Self-tuning kernel Gaussian method for predictive control systems;Journal of Process Control;2023-08

2. Data-Driven Distributed Model Predictive Control of Continuous Nonlinear Systems with Gaussian Process;Industrial & Engineering Chemistry Research;2022-11-30

3. Optimal Reinforcement Learning-Based Control Algorithm for a Class of Nonlinear Macroeconomic Systems;Mathematics;2022-02-03

4. A Comparison of Gaussian Process and M5P for Prediction of Soil Permeability Coefficient;Scientific Programming;2021-10-31

5. Optimization of Spirulina sp. cultivation using reinforcement learning with state prediction based on LSTM neural network;Journal of Applied Phycology;2021-06-12

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