Springer Intelligent Optimal Adaptive Control for Mechatronic Systems

This comprehensive Springer publication explores intelligent control methods for mobile robots and mechatronic systems, presenting cutting-edge research and practical control algorithms developed and validated by leading experts. The book covers advanced artificial intelligence techniques including neural networks and neural-dynamic programming, with particular emphasis on globalised dual-heuristic dynamic programming for wheeled robots and robotic manipulators. Readers will gain insights into state-of-the-art approaches whilst understanding how modern intelligent control compares to classical control methods, making this an essential resource for engineers, researchers, and students working in robotics, automation, and control systems design.