Philip D. Loewen

31 papers A* 2A 1C 4Journal 21Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
A view on learning robust goal-conditioned value functions: Interplay between RL and MPC.
Annu. Rev. Control.
Nathan P. Lawrence, Philip D. Loewen, Michael G. Forbes, R. Bhushan Gopaluni, Ali Mesbah
2025 J jnl
A view on learning robust goal-conditioned value functions: Interplay between RL and MPC.
CoRR
Nathan P. Lawrence, Philip D. Loewen, Michael G. Forbes, R. Bhushan Gopaluni, Ali Mesbah
2025 A* conf
DiLQR: Differentiable Iterative Linear Quadratic Regulator via Implicit Differentiation.
ICML
Shuyuan Wang, Philip D. Loewen, Michael G. Forbes, R. Bhushan Gopaluni, Wei Pan
2025 J jnl
DiLQR: Differentiable Iterative Linear Quadratic Regulator via Implicit Differentiation.
CoRR
Shuyuan Wang, Philip D. Loewen, Michael G. Forbes, R. Bhushan Gopaluni, Wei Pan
2024 — conf
Deep Hankel matrices with random elements.
L4DC
Nathan P. Lawrence, Philip D. Loewen, Shuyuan Wang, Michael G. Forbes, R. Bhushan Gopaluni
2024 J jnl
Deep Hankel matrices with random elements.
CoRR
Nathan P. Lawrence, Philip D. Loewen, Shuyuan Wang, Michael G. Forbes, R. Bhushan Gopaluni
2024 A conf
Guiding Reinforcement Learning with Incomplete System Dynamics.
IROS
Shuyuan Wang, Jingliang Duan, Nathan P. Lawrence, Philip D. Loewen, Michael G. Forbes, R. Bhushan Gopaluni, Lixian Zhang
2024 J jnl
Guiding Reinforcement Learning with Incomplete System Dynamics.
CoRR
Shuyuan Wang, Jingliang Duan, Nathan P. Lawrence, Philip D. Loewen, Michael G. Forbes, R. Bhushan Gopaluni, Lixian Zhang
2024 J jnl
Stabilizing reinforcement learning control: A modular framework for optimizing over all stable behavior.
Autom.
Nathan P. Lawrence, Philip D. Loewen, Shuyuan Wang, Michael G. Forbes, R. Bhushan Gopaluni
2023 J jnl
A modular framework for stabilizing deep reinforcement learning control.
CoRR
Nathan P. Lawrence, Philip D. Loewen, Shuyuan Wang, Michael G. Forbes, R. Bhushan Gopaluni
2023 J jnl
Reinforcement Learning with Partial Parametric Model Knowledge.
CoRR
Shuyuan Wang, Philip D. Loewen, Nathan P. Lawrence, Michael G. Forbes, R. Bhushan Gopaluni
2023 J jnl
Stabilizing reinforcement learning control: A modular framework for optimizing over all stable behavior.
CoRR
Nathan P. Lawrence, Philip D. Loewen, Shuyuan Wang, Michael G. Forbes, R. Bhushan Gopaluni
2022 J jnl
Meta Reinforcement Learning for Adaptive Control: An Offline Approach.
CoRR
Daniel G. McClement, Nathan P. Lawrence, Johan U. Backström, Philip D. Loewen, Michael G. Forbes, R. Bhushan Gopaluni
2022 J jnl
Meta-Reinforcement Learning for Adaptive Control of Second Order Systems.
CoRR
Daniel G. McClement, Nathan P. Lawrence, Michael G. Forbes, Philip D. Loewen, Johan U. Backström, R. Bhushan Gopaluni
2021 J jnl
A Meta-Reinforcement Learning Approach to Process Control.
CoRR
Daniel G. McClement, Nathan P. Lawrence, Philip D. Loewen, Michael G. Forbes, Johan U. Backström, R. Bhushan Gopaluni
2021 J jnl
Almost Surely Stable Deep Dynamics.
CoRR
Nathan P. Lawrence, Philip D. Loewen, Michael G. Forbes, Johan U. Backström, R. Bhushan Gopaluni
2021 J jnl
Deep Reinforcement Learning with Shallow Controllers: An Experimental Application to PID Tuning.
CoRR
Nathan P. Lawrence, Michael G. Forbes, Philip D. Loewen, Daniel G. McClement, Johan U. Backström, R. Bhushan Gopaluni
2020 A* conf
Almost Surely Stable Deep Dynamics.
NeurIPS
Nathan P. Lawrence, Philip D. Loewen, Michael G. Forbes, Johan U. Backström, R. Bhushan Gopaluni
2020 J jnl
Deep Reinforcement Learning for Process Control: A Primer for Beginners.
CoRR
Steven Spielberg, Aditya Tulsyan, Nathan P. Lawrence, Philip D. Loewen, R. Bhushan Gopaluni
2020 J jnl
Optimal PID and Antiwindup Control Design as a Reinforcement Learning Problem.
CoRR
Nathan P. Lawrence, Gregory E. Stewart, Philip D. Loewen, Michael G. Forbes, Johan U. Backström, R. Bhushan Gopaluni
2020 J jnl
Reinforcement Learning based Design of Linear Fixed Structure Controllers.
CoRR
Nathan P. Lawrence, Gregory E. Stewart, Philip D. Loewen, Michael G. Forbes, Johan U. Backström, R. Bhushan Gopaluni
2020 J jnl
Support vector machine approach for model-plant mismatch detection.
Comput. Chem. Eng.
Qiugang Lu, Michael G. Forbes, Philip D. Loewen, Johan U. Backström, Guy Albert Dumont, R. Bhushan Gopaluni
2019 J jnl
Identification of symmetric noncausal processes.
Autom.
Qiugang Lu, Philip D. Loewen, R. Bhushan Gopaluni, Michael G. Forbes, Johan U. Backström, Guy Albert Dumont, Michael S. Davies
2018 J jnl
Locality preserving discriminative canonical variate analysis for fault diagnosis.
Comput. Chem. Eng.
Qiugang Lu, Benben Jiang, R. Bhushan Gopaluni, Philip D. Loewen, Richard D. Braatz
2017 C conf
Noncausal modeling and closed-loop optimal input design for cross-directional processes of paper machines.
ACC
Qiugang Lu, Lee D. Rippon, R. Bhushan Gopaluni, Michael G. Forbes, Philip D. Loewen, Johan U. Backström, Guy Albert Dumont
2017 J jnl
Performance Assessment of Cross-Directional Control for Paper Machines.
IEEE Trans. Control. Syst. Technol.
Qiugang Lu, Michael G. Forbes, R. Bhushan Gopaluni, Philip D. Loewen, Johan U. Backström, Guy Albert Dumont
2015 C conf
Cross-directional controller performance monitoring for paper machines.
ACC
Qiugang Lu, Lee D. Rippon, R. Bhushan Gopaluni, Michael G. Forbes, Philip D. Loewen, Johan U. Backström, Guy Albert Dumont
2015 C conf
Detecting model-plant mismatch without external excitation.
ACC
Mahdi Yousefi, Qiugang Lu, R. Bhushan Gopaluni, Philip D. Loewen, Michael G. Forbes, Guy Albert Dumont, Johan U. Backström
2014 C conf
Sensitivity of MIMO controller performance to model-plant mismatch, with applications to paper machine control.
CCA
Mahdi Yousefi, Michael G. Forbes, R. Bhushan Gopaluni, Philip D. Loewen, Guy Albert Dumont, Johan U. Backström
2006 — conf
Identification of Symmetric Noncausal Processes: Cross-Directional Response Modelling of Paper Machines.
CDC
R. Bhushan Gopaluni, Philip D. Loewen, Mohammed Ammar, Guy Albert Dumont, Michael S. Davies
2002 — conf
A variational problem with a continuum of weak local minima.
CDC
Philip D. Loewen, Stephen J. Watson, Peter R. Wolenski