£130.99

Springer Intelligent Optimal Adaptive Control for Mechatronics

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Description

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.

Key Features

Covers state-of-the-art intelligent control methods specifically designed for mobile robots and mechatronic systems.

Introduces new control algorithms developed and tested by the authors for practical application.

Explores artificial intelligence methods including neural networks and neural-dynamic programming for advanced robotics.

Provides detailed discussion on globalised dual-heuristic dynamic programming for complex control tasks.

Offers a comparative analysis between modern intelligent methods and classical control techniques.

Addresses specific control challenges for both wheeled robots and robotic manipulators.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
04 June 2019
Listed Since
04 January 2019

Barcode

No barcode data available

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