Michael G. Forbes

According to our database, Michael G. Forbes authored at least 26 papers between 2003 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Guiding Reinforcement Learning with Incomplete System Dynamics.

Shuyuan Wang, Jingliang Duan, Nathan P. Lawrence, Philip D. Loewen, Michael G. Forbes, R. Bhushan Gopaluni, Lixian Zhang

CoRR, 2024

Stabilizing reinforcement learning control: A modular framework for optimizing over all stable behavior.

Nathan P. Lawrence, Philip D. Loewen, Shuyuan Wang, Michael G. Forbes, R. Bhushan Gopaluni

Autom., 2024

Deep Hankel matrices with random elements.

Nathan P. Lawrence, Philip D. Loewen, Shuyuan Wang, Michael G. Forbes, R. Bhushan Gopaluni

Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024

2023

Reinforcement Learning with Partial Parametric Model Knowledge.

Shuyuan Wang, Philip D. Loewen, Nathan P. Lawrence, Michael G. Forbes, R. Bhushan Gopaluni

CoRR, 2023

A modular framework for stabilizing deep reinforcement learning control.

Nathan P. Lawrence, Philip D. Loewen, Shuyuan Wang, Michael G. Forbes, R. Bhushan Gopaluni

CoRR, 2023

2022

Meta-Reinforcement Learning for Adaptive Control of Second Order Systems.

Daniel G. McClement, Nathan P. Lawrence, Michael G. Forbes, Philip D. Loewen, Johan U. Backström, R. Bhushan Gopaluni

CoRR, 2022

Meta Reinforcement Learning for Adaptive Control: An Offline Approach.

Daniel G. McClement, Nathan P. Lawrence, Johan U. Backström, Philip D. Loewen, Michael G. Forbes, R. Bhushan Gopaluni

CoRR, 2022

2021

Deep Reinforcement Learning with Shallow Controllers: An Experimental Application to PID Tuning.

Nathan P. Lawrence, Michael G. Forbes, Philip D. Loewen, Daniel G. McClement, Johan U. Backström, R. Bhushan Gopaluni

CoRR, 2021

A Meta-Reinforcement Learning Approach to Process Control.

Daniel G. McClement, Nathan P. Lawrence, Philip D. Loewen, Michael G. Forbes, Johan U. Backström, R. Bhushan Gopaluni

CoRR, 2021

2020

Optimal PID and Antiwindup Control Design as a Reinforcement Learning Problem.

Nathan P. Lawrence, Gregory E. Stewart, Philip D. Loewen, Michael G. Forbes, Johan U. Backström, R. Bhushan Gopaluni

CoRR, 2020

Reinforcement Learning based Design of Linear Fixed Structure Controllers.

Nathan P. Lawrence, Gregory E. Stewart, Philip D. Loewen, Michael G. Forbes, Johan U. Backström, R. Bhushan Gopaluni

CoRR, 2020

Support vector machine approach for model-plant mismatch detection.

Qiugang Lu, Michael G. Forbes, Philip D. Loewen, Johan U. Backström, Guy Albert Dumont, R. Bhushan Gopaluni

Comput. Chem. Eng., 2020

Almost Surely Stable Deep Dynamics.

Nathan P. Lawrence, Philip D. Loewen, Michael G. Forbes, Johan U. Backström, R. Bhushan Gopaluni

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Identification of symmetric noncausal processes.

Qiugang Lu, Philip D. Loewen, R. Bhushan Gopaluni, Michael G. Forbes, Johan U. Backström, Guy Albert Dumont, Michael S. Davies

Autom., 2019

Systematic Development of a New Variational Autoencoder Model Based on Uncertain Data for Monitoring Nonlinear Processes.

Kai Wang, Michael G. Forbes, R. Bhushan Gopaluni, Junghui Chen, Zhihuan Song

IEEE Access, 2019

2018

Robust Tuning of Cross-Directional Model Predictive Controllers for Paper-Making Processes.

Ning He, Xiaotao Liu, Michael G. Forbes, Johan U. Backström, Tongwen Chen

IEEE Trans. Control. Syst. Technol., 2018

2017

Performance Assessment of Cross-Directional Control for Paper Machines.

Qiugang Lu, Michael G. Forbes, R. Bhushan Gopaluni, Philip D. Loewen, Johan U. Backström, Guy Albert Dumont

IEEE Trans. Control. Syst. Technol., 2017

Noncausal modeling and closed-loop optimal input design for cross-directional processes of paper machines.

Qiugang Lu, Lee D. Rippon, R. Bhushan Gopaluni, Michael G. Forbes, Philip D. Loewen, Johan U. Backström, Guy Albert Dumont

Proceedings of the 2017 American Control Conference, 2017

2015

Detecting model-plant mismatch without external excitation.

Mahdi Yousefi, Qiugang Lu, R. Bhushan Gopaluni, Philip D. Loewen, Michael G. Forbes, Guy Albert Dumont, Johan U. Backström

Proceedings of the American Control Conference, 2015

Cross-directional controller performance monitoring for paper machines.

Qiugang Lu, Lee D. Rippon, R. Bhushan Gopaluni, Michael G. Forbes, Philip D. Loewen, Johan U. Backström, Guy Albert Dumont

Proceedings of the American Control Conference, 2015

2014

Sensitivity of controller performance indices to model-plant mismatch: An application to paper machine control.

Mahdi Yousefi, Michael G. Forbes, R. Bhushan Gopaluni, Guy Albert Dumont, Johan U. Backström, Ashish Malhotra

Proceedings of the American Control Conference, 2014

Sensitivity of MIMO controller performance to model-plant mismatch, with applications to paper machine control.

Mahdi Yousefi, Michael G. Forbes, R. Bhushan Gopaluni, Philip D. Loewen, Guy Albert Dumont, Johan U. Backström

Proceedings of the 2014 IEEE Conference on Control Applications, 2014

2006

Controller Design for Discrete-Time Stochastic Processes With Nonquadratic Loss.

Michael G. Forbes, J. Fraser Forbes, Martin Guay

Technometrics, 2006

2004

Probabilistic control design for continuous-time stochastic nonlinear systems: a PDF-shaping approach.

Michael G. Forbes, Martin Guay, J. Fraser Forbes

Proceedings of the Intelligent Control, 2004

2003

Control design for discrete-time stochastic nonlinear processes with a nonquadratic performance objective.

Michael G. Forbes, J. Fraser Forbes, Martin Guay

Proceedings of the 42nd IEEE Conference on Decision and Control, 2003

Regulatory control design for stochastic processes: shaping the probability density function.

Michael G. Forbes, J. Fraser Forbes, Martin Guay

Proceedings of the American Control Conference, 2003