A variational problem with a continuum of weak local minima. - Philip D. Loewen; Stephen J. Watson; Peter R. Wolenski (CDC, 2002)

Identification of Symmetric Noncausal Processes: Cross-Directional Response Modelling of Paper Machines. - R. Bhushan Gopaluni; Philip D. Loewen; Mohammed Ammar; Guy Albert Dumont; Michael S. Davies (CDC, 2006)

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 (CCA, 2014)

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 (ACC, 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 (ACC, 2015)

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 (ACC, 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)

Locality preserving discriminative canonical variate analysis for fault diagnosis. - Qiugang Lu; Benben Jiang; R. Bhushan Gopaluni; Philip D. Loewen; Richard D. Braatz (Comput. Chem. Eng., 2018)

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)

Almost Surely Stable Deep Dynamics. - Nathan P. Lawrence; Philip D. Loewen; Michael G. Forbes; Johan U. Backström; R. Bhushan Gopaluni (NeurIPS, 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)

Deep Reinforcement Learning for Process Control: A Primer for Beginners. - Steven Spielberg; Aditya Tulsyan; Nathan P. Lawrence; Philip D. Loewen; 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)

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)

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)

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)

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)

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)

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)

Reinforcement Learning with Partial Parametric Model Knowledge. - Shuyuan Wang; Philip D. Loewen; Nathan P. Lawrence; Michael G. Forbes; R. Bhushan Gopaluni (CoRR, 2023)

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 (IROS, 2024)

Deep Hankel matrices with random elements. - Nathan P. Lawrence; Philip D. Loewen; Shuyuan Wang; Michael G. Forbes; R. Bhushan Gopaluni (L4DC, 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)

A view on learning robust goal-conditioned value functions: Interplay between RL and MPC. - Nathan P. Lawrence; Philip D. Loewen; Michael G. Forbes; R. Bhushan Gopaluni; Ali Mesbah 002 (CoRR, 2025)

DiLQR: Differentiable Iterative Linear Quadratic Regulator via Implicit Differentiation. - Shuyuan Wang; Philip D. Loewen; Michael G. Forbes; R. Bhushan Gopaluni; Wei Pan (CoRR, 2025)