Springer Intelligent Optimal Adaptive Control for Mechatronics

Explore the cutting edge of robotics with Intelligent Optimal Adaptive Control for Mechatronic Systems. Published by Springer as part of the Studies in Systems, Decision and Control series, this book provides a comprehensive look at the state-of-the-art in mobile robot control. It serves as a vital resource for understanding how new control algorithms can be applied to real-world robotic systems. Readers will gain insights into the application of artificial intelligence methods, specifically focusing on neural networks and neural-dynamic programming. The text covers advanced techniques such as globalised dual-heuristic dynamic programming, offering practical approaches for controlling both wheeled robots and robotic manipulators. By comparing these modern AI-driven methods against classical control techniques, the book helps engineers and researchers understand the evolution and effectiveness of intelligent control in mechatronic environments.