Michael G. Forbes

Affiliations:
  • Honeywell Process Solutions, North Vancouver, BC, Canada
  • University of Alberta, Department of Chemical & Materials Engineering, Edmonton, AB, Canada (former, PhD)


According to our database1, Michael G. Forbes authored at least 24 papers between 2003 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2023
Stabilizing reinforcement learning control: A modular framework for optimizing over all stable behavior.
CoRR, 2023

Reinforcement Learning with Partial Parametric Model Knowledge.
CoRR, 2023

A modular framework for stabilizing deep reinforcement learning control.
CoRR, 2023

2022
Meta-Reinforcement Learning for Adaptive Control of Second Order Systems.
CoRR, 2022

Meta Reinforcement Learning for Adaptive Control: An Offline Approach.
CoRR, 2022

2021
Deep Reinforcement Learning with Shallow Controllers: An Experimental Application to PID Tuning.
CoRR, 2021

A Meta-Reinforcement Learning Approach to Process Control.
CoRR, 2021

2020
Optimal PID and Antiwindup Control Design as a Reinforcement Learning Problem.
CoRR, 2020

Reinforcement Learning based Design of Linear Fixed Structure Controllers.
CoRR, 2020

Support vector machine approach for model-plant mismatch detection.
Comput. Chem. Eng., 2020

Almost Surely Stable Deep Dynamics.
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.
Autom., 2019

Systematic Development of a New Variational Autoencoder Model Based on Uncertain Data for Monitoring Nonlinear Processes.
IEEE Access, 2019

2018
Robust Tuning of Cross-Directional Model Predictive Controllers for Paper-Making Processes.
IEEE Trans. Control. Syst. Technol., 2018

2017
Performance Assessment of Cross-Directional Control for Paper Machines.
IEEE Trans. Control. Syst. Technol., 2017

Noncausal modeling and closed-loop optimal input design for cross-directional processes of paper machines.
Proceedings of the 2017 American Control Conference, 2017

2015
Detecting model-plant mismatch without external excitation.
Proceedings of the American Control Conference, 2015

Cross-directional controller performance monitoring for paper machines.
Proceedings of the American Control Conference, 2015

2014
Sensitivity of controller performance indices to model-plant mismatch: An application to paper machine control.
Proceedings of the American Control Conference, 2014

Sensitivity of MIMO controller performance to model-plant mismatch, with applications to paper machine control.
Proceedings of the 2014 IEEE Conference on Control Applications, 2014

2006
Controller Design for Discrete-Time Stochastic Processes With Nonquadratic Loss.
Technometrics, 2006

2004
Probabilistic control design for continuous-time stochastic nonlinear systems: a PDF-shaping approach.
Proceedings of the Intelligent Control, 2004

2003
Control design for discrete-time stochastic nonlinear processes with a nonquadratic performance objective.
Proceedings of the 42nd IEEE Conference on Decision and Control, 2003

Regulatory control design for stochastic processes: shaping the probability density function.
Proceedings of the American Control Conference, 2003


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