Combining physical modeling, neural processing, and likelihood testing for online process monitoring. - Humberto E. Garcia; Richard B. Vilim (SMC, 1998)

An identification scheme combining first principle knowledge, neural networks, and the likelihood function. - Richard B. Vilim; Humberto E. Garcia; Frederick W. Chen (IEEE Trans. Control. Syst. Technol., 2001)

Numerical Demonstration of Multiple Actuator Constraint Enforcement Algorithm for a Molten Salt Loop. - Akshay J. Dave; Haoyu Wang; Roberto Ponciroli; Richard B. Vilim (CoRR, 2022)

Design of a Supervisory Control System for Autonomous Operation of Advanced Reactors. - Akshay J. Dave; Taeseung Lee; Roberto Ponciroli; Richard B. Vilim (CoRR, 2022)

Integrating LLMs for Explainable Fault Diagnosis in Complex Systems. - Akshay J. Dave; Tat Nghia Nguyen; Richard B. Vilim (CoRR, 2024)

Physics-informed State-space Neural Networks for transport phenomena. - Akshay J. Dave; Richard B. Vilim (Eng. Appl. Artif. Intell., 2024)

A safe reinforcement learning algorithm for supervisory control of power plants. - Yixuan Sun; Sami Khairy; Richard B. Vilim; Rui Hu; Akshay J. Dave (Knowl. Based Syst., 2024)