Intelligent Optimal Adaptive Control for Mechatronic Systems
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Beschreibung
The book deals with intelligent control of mobile robots, presenting the state-of-the-art in the field, and introducing new control algorithms developed and tested by the authors. It also discusses the use of artificial intelligent methods like neural networks and neuraldynamic programming, including globalised dual-heuristic dynamic programming, for controlling wheeled robots and robotic manipulators,and compares them to classical control methods.
Reports on the authors’ research on reinforcement learning and approximate dynamic programming for robot control
Compares intelligent methods with classical control methods
Includes an experimental verification of the discussed algorithms
Reports on the authors’ research on reinforcement learning and approximate dynamic programming for robot control Compares intelligent methods with classical control methods Includes an experimental verification of the discussed algorithms Includes supplementary material: sn.pub/extras
Autor*in
Marcin Szuster
Themen in »Intelligent Optimal Adaptive Control for Mechatronic Systems«
Bellman’s Dynamic Programming DHP Method GDHP Controller Heuristic Dynamic Programming Learning Without a Model Neural Tracking Control Nonlinear Systems Robotic Manipulators Supervised and Unsupervised Learning Two-wheeled Mobile Robots