Reinforcement learning approach to autonomous PID tuning. - Oguzhan Dogru; Kirubakaran Velswamy; Fadi Ibrahim; Yuqi Wu; Arun Senthil Sundaramoorthy; Biao Huang 001; Shu Xu 003; Mark Nixon; Noel Bell (Comput. Chem. Eng., 2022)

Reinforcement Learning With Constrained Uncertain Reward Function Through Particle Filtering. - Oguzhan Dogru; Ranjith Chiplunkar; Biao Huang 001 (IEEE Trans. Ind. Electron., 2022)

Data-Driven Designs of Fault Detection Systems via Neural Network-Aided Learning. - Hongtian Chen; Zheng Chai; Oguzhan Dogru; Bin Jiang 001; Biao Huang 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Reinforcement learning for soft sensor design through autonomous cross-domain data selection. - Junyao Xie; Oguzhan Dogru; Biao Huang 001; Chris Godwaldt; Brett Willms (Comput. Chem. Eng., 2023)

Reinforcement Learning in Process Industries: Review and Perspective. - Oguzhan Dogru; Junyao Xie; Om Prakash; Ranjith Chiplunkar; Jansen Fajar Soesanto; Hongtian Chen; Kirubakaran Velswamy; Fadi Ibrahim; Biao Huang 001 (IEEE CAA J. Autom. Sinica, 2024)

Distributed Process Monitoring for Multiagent Systems Through Cognitive Learning. - Hongtian Chen; Oguzhan Dogru; Santhosh Kumar Varanasi; Xunyuan Yin; Biao Huang 001 (IEEE Trans. Cogn. Dev. Syst., 2024)

Skew Filtering for Online State Estimation and Control. - Oguzhan Dogru; Ranjith Chiplunkar; Biao Huang 001 (IEEE Trans. Ind. Informatics, 2024)