Concepedia

Michael G. Forbes

MG

15

Publications

714

Citations

11

H-Index

2003

Active since

Affiliations

Honeywell (Canada)(Current)

University of Alberta

University of British Columbia

Queen's University

Michael G. Forbes is an author at Honeywell (Canada) specializing in systems engineering, engineering, and process control.

Top concepts

EngineeringSystems EngineeringProcess ControlControl DesignMechanical SystemsAutomationComputer EngineeringIndustrial EngineeringModeling And SimulationModel Predictive Control

Publications per year

2003–2022

15

Publications

15

Model Predictive Control in Industry: Challenges and Opportunities

Michael G. Forbes, Rohit S. Patwardhan, Hamza A. Hamadah et al. · IFAC-PapersOnLine · 2015 · 282 citations · Full text

Automated Adaptive Mpc, Control Strategy, Engineering +15

Deep reinforcement learning with shallow controllers: An experimental application to PID tuning

Nathan P. Lawrence, Michael G. Forbes, Philip D. Loewen et al. · Control Engineering Practice · 2022 · 103 citations · Full text

Artificial Intelligence, Experimental Application, Engineering +9

Control design for first-order processes: shaping the probability density of the process state

Michael G. Forbes, Martin Guay, J. Fraser Forbes · Journal of Process Control · 2003 · 88 citations

Control Method, Control Strategy, Engineering +8

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

Kai Wang, Michael G. Forbes, R. Bhushan Gopaluni et al. · IEEE Access · 2019 · 56 citations · Full text

Artificial Intelligence, Fault Diagnosis, Deep Model +22

Meta-reinforcement learning for the tuning of PI controllers: An offline approach

Daniel G. McClement, Nathan P. Lawrence, Johan U. Backström et al. · Journal of Process Control · 2022 · 41 citations

Artificial Intelligence, Engineering, Meta-reinforcement Learning +11

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