Michael G. Forbes

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 20

Top Topics

Adaptive Control

Graduate Education

Uncertain Data Streams

Naive Bayes Classification

Top Venues

IEEE Trans. Control. Syst. Technol.

Publications

Nathan P. Lawrence, Philip D. Loewen, Shuyuan Wang, Michael G. Forbes, R. Bhushan Gopaluni
Deep Hankel matrices with random elements. L4DC (2024)
Nathan P. Lawrence, Philip D. Loewen, Shuyuan Wang, Michael G. Forbes, R. Bhushan Gopaluni
Deep Hankel matrices with random elements. CoRR (2024)
Nathan P. Lawrence, Philip D. Loewen, Shuyuan Wang, Michael G. Forbes, R. Bhushan Gopaluni
Stabilizing reinforcement learning control: A modular framework for optimizing over all stable behavior. Autom. 164 (2024)
Nathan P. Lawrence, Philip D. Loewen, Shuyuan Wang, Michael G. Forbes, R. Bhushan Gopaluni
Stabilizing reinforcement learning control: A modular framework for optimizing over all stable behavior. CoRR (2023)
Nathan P. Lawrence, Philip D. Loewen, Shuyuan Wang, Michael G. Forbes, R. Bhushan Gopaluni
A modular framework for stabilizing deep reinforcement learning control. CoRR (2023)
Shuyuan Wang, Philip D. Loewen, Nathan P. Lawrence, Michael G. Forbes, R. Bhushan Gopaluni
Reinforcement Learning with Partial Parametric Model Knowledge. CoRR (2023)
Daniel G. McClement, Nathan P. Lawrence, Johan U. Backström, Philip D. Loewen, Michael G. Forbes, R. Bhushan Gopaluni
Meta Reinforcement Learning for Adaptive Control: An Offline Approach. CoRR (2022)
Daniel G. McClement, Nathan P. Lawrence, Michael G. Forbes, Philip D. Loewen, Johan U. Backström, R. Bhushan Gopaluni
Meta-Reinforcement Learning for Adaptive Control of Second Order Systems. CoRR (2022)
Nathan P. Lawrence, Michael G. Forbes, Philip D. Loewen, Daniel G. McClement, Johan U. Backström, R. Bhushan Gopaluni
Deep Reinforcement Learning with Shallow Controllers: An Experimental Application to PID Tuning. CoRR (2021)
Daniel G. McClement, Nathan P. Lawrence, Philip D. Loewen, Michael G. Forbes, Johan U. Backström, R. Bhushan Gopaluni
A Meta-Reinforcement Learning Approach to Process Control. CoRR (2021)
Nathan P. Lawrence, Philip D. Loewen, Michael G. Forbes, Johan U. Backström, R. Bhushan Gopaluni
Almost Surely Stable Deep Dynamics. CoRR (2021)
Nathan P. Lawrence, Philip D. Loewen, Michael G. Forbes, Johan U. Backström, R. Bhushan Gopaluni
Almost Surely Stable Deep Dynamics. NeurIPS (2020)
Nathan P. Lawrence, Gregory E. Stewart, Philip D. Loewen, Michael G. Forbes, Johan U. Backström, R. Bhushan Gopaluni
Reinforcement Learning based Design of Linear Fixed Structure Controllers. CoRR (2020)
Qiugang Lu, Michael G. Forbes, Philip D. Loewen, Johan U. Backström, Guy Albert Dumont, R. Bhushan Gopaluni
Support vector machine approach for model-plant mismatch detection. Comput. Chem. Eng. 133 (2020)
Nathan P. Lawrence, Gregory E. Stewart, Philip D. Loewen, Michael G. Forbes, Johan U. Backström, R. Bhushan Gopaluni
Optimal PID and Antiwindup Control Design as a Reinforcement Learning Problem. CoRR (2020)
Kai Wang, Michael G. Forbes, R. Bhushan Gopaluni, Junghui Chen, Zhihuan Song
Systematic Development of a New Variational Autoencoder Model Based on Uncertain Data for Monitoring Nonlinear Processes. IEEE Access 7 (2019)
Qiugang Lu, Philip D. Loewen, R. Bhushan Gopaluni, Michael G. Forbes, Johan U. Backström, Guy Albert Dumont, Michael S. Davies
Identification of symmetric noncausal processes. Autom. 103 (2019)
Ning He, Xiaotao Liu, Michael G. Forbes, Johan U. Backström, Tongwen Chen
Robust Tuning of Cross-Directional Model Predictive Controllers for Paper-Making Processes. IEEE Trans. Control. Syst. Technol. 26 (5) (2018)
Qiugang Lu, Lee D. Rippon, R. Bhushan Gopaluni, Michael G. Forbes, Philip D. Loewen, Johan U. Backström, Guy Albert Dumont
Noncausal modeling and closed-loop optimal input design for cross-directional processes of paper machines. ACC (2017)
Qiugang Lu, Michael G. Forbes, R. Bhushan Gopaluni, Philip D. Loewen, Johan U. Backström, Guy Albert Dumont
Performance Assessment of Cross-Directional Control for Paper Machines. IEEE Trans. Control. Syst. Technol. 25 (1) (2017)
Mahdi Yousefi, Qiugang Lu, R. Bhushan Gopaluni, Philip D. Loewen, Michael G. Forbes, Guy Albert Dumont, Johan U. Backström
Detecting model-plant mismatch without external excitation. ACC (2015)
Qiugang Lu, Lee D. Rippon, R. Bhushan Gopaluni, Michael G. Forbes, Philip D. Loewen, Johan U. Backström, Guy Albert Dumont
Cross-directional controller performance monitoring for paper machines. ACC (2015)
Mahdi Yousefi, Michael G. Forbes, R. Bhushan Gopaluni, Philip D. Loewen, Guy Albert Dumont, Johan U. Backström
Sensitivity of MIMO controller performance to model-plant mismatch, with applications to paper machine control. CCA (2014)
Mahdi Yousefi, Michael G. Forbes, R. Bhushan Gopaluni, Guy Albert Dumont, Johan U. Backström, Ashish Malhotra
Sensitivity of controller performance indices to model-plant mismatch: An application to paper machine control. ACC (2014)
Michael G. Forbes, J. Fraser Forbes, Martin Guay
Controller Design for Discrete-Time Stochastic Processes With Nonquadratic Loss. Technometrics 48 (3) (2006)
Michael G. Forbes, Martin Guay, J. Fraser Forbes
Probabilistic control design for continuous-time stochastic nonlinear systems: a PDF-shaping approach. ISIC (2004)
Michael G. Forbes, J. Fraser Forbes, Martin Guay
Regulatory control design for stochastic processes: shaping the probability density function. ACC (2003)
Michael G. Forbes, J. Fraser Forbes, Martin Guay
Control design for discrete-time stochastic nonlinear processes with a nonquadratic performance objective. CDC (2003)