Multi-Source Information Fusion, Greenhouse, Navigation, Algorithm Verification, Sensor Fusion Share and Cite: Guo, Z. (2025) ...

Abstract: This paper studies the problem of optimal parallel tracking control for continuous-time general nonlinear ... adaptive dynamic programming ( ADP ) technique is utilized to implement the ...

Abstract: This article investigates the nonlinear model predictive control (NMPC) for electric bus operations (EBOs) under dynamic environments, based on the generalized disjunctive programming (GDP) ...

Dostarlimab with platinum-based chemotherapy for treating primary advanced or recurrent endometrial cancer with high microsatellite instability or mismatch repair deficiency TA1064 22 May 2025 22 May ...

AMGWO, a new feature selection method inspired by grey wolves, uses adaptive strategies to enhance machine learning models.

to intelligent control problems and biomedical applications. Fundamental concepts and essential analysis of various computational techniques are presented to offer a systematic and effective tool for ...

TITLE: An Extended Sliding Mode Observer for Speed, Position and Torque Sensorless Control for PMSM Drive Based Stator Resistance Estimator ...

Hand-written lecture notes and corresponding Jupyter notebooks from the course Optimal Control and Reinforcement Learning as taught in the Robotics Institute at Carnegie Mellon University in spring ...

Event-triggered control is a most popular paradigm for transferring feedback information in an economical “as needed” manner. The study of event-triggered control can be traced back to the 1960s.