Detalls del llibre
This book applies set-theoretic and reinforcement learning approaches to formulate, analyze, and solve the challenge of ensuring safe operation of robotic systems in an uncertain environment.The authors adopt learning-supported set-theoretic methods -- specifically, the barrier Lyapunov function and the control barrier function -- to achieve desirable robust safety with guaranteed performance in continuous-time nonlinear control applications. They also combine reinforcement learning with control theory to ensure safe learning and optimization. The reinforcement learning-based optimization framework incorporates safety and robustness guarantees by applying theoretical analysis tools from the field of control.This book will be of interest to researchers, engineers, and students specializing in robot planning and control.
- Autors ALIMENTS (CONGRéS), Yongchao Wang, Fangzhou Liu, Xinglong Zhang
- ISBN13 9781041141204
- ISBN10 1041141203
- Pàgines 120
- Any Edició 2025
- Fecha de publicación 28/11/2025
Ressenyes i valoracions
Assuring Safe Operation of Robotic Systems Under Uncertainty Control and Learning Methods
- De
- ALIMENTS (CONGRéS), Yongchao Wang, Fangzhou Liu, Xinglong Zhang
- 9781041141204



