Nathan P. Lawrence

Toward self‐driving processes: A deep reinforcement learning approach to control

Steven Spielberg, Aditya Tulsyan, Nathan P. Lawrence et al. · AIChE Journal · 2019 · 144 citations · Full text

Engineering, Systems Engineering, Machine Learning +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 · 110 citations · Full text

Computing, Computer Science, Artificial Intelligence +14

Machine learning for industrial sensing and control: A survey and practical perspective

Nathan P. Lawrence, Seshu Kumar Damarla, Jong Woo Kim et al. · Control Engineering Practice · 2024 · 64 citations · Full text

Computing, Computer Science, Industrial Engineering +17

Automated deep reinforcement learning for real-time scheduling strategy of multi-energy system integrated with post-carbon and direct-air carbon captured system

Tobi Michael Alabi, Nathan P. Lawrence, Lin Lu et al. · Applied Energy · 2023 · 49 citations · Full text

Management, Environmental Engineering, Carbon Management +15

Modern Machine Learning Tools for Monitoring and Control of Industrial Processes: A Survey

R. Bhushan Gopaluni, Aditya Tulsyan, Benoît Chachuat et al. · IFAC-PapersOnLine · 2020 · 44 citations · Full text

Engineering, Computer Science, Industrial Engineering +13