Dynamic Modeling and Neural Network-Based Intelligent Control of Flexible Systems

This book provides a deep dive into flexible systems, offering innovative modeling and control strategies, particularly through neural networks. Dynamic Modeling and Neural Network-Based Intelligent Control of Flexible Systems is essential for engineers and researchers.

This book offers a comprehensive exploration of various flexible systems, focusing on dynamic modeling, intelligent control design, and stability analysis. Dynamic Modeling and Neural Network-Based Intelligent Control of Flexible Systems presents innovative modeling techniques and intelligent control strategies that leverage neural networks, addressing the complexities associated with these systems. It delves into practical applications, including tracking control for multi-link flexible manipulators, vibration control of buildings during natural disasters, and fault-tolerant control for bionic flexible flapping-wing aircraft.

The text is richly illustrated and includes numerous case studies that showcase the efficacy of the proposed methodologies in real-world scenarios. Experimental investigations are conducted on platforms such as the Quanser Rotary Flexible Link and the Quanser Active Mass Damper, providing empirical evidence of the strategies' effectiveness. The book begins with an overview of dynamic modeling and intelligent control, introducing crucial concepts and methods associated with three representative flexible systems.

Further topics covered include foundational mathematical principles like the Hamilton principle and Lyapunov’s stability theorem, dynamic modeling techniques for robotic manipulators, and adaptive control methods for structures facing unpredictable disturbances. Dynamic Modeling and Neural Network-Based Intelligent Control of Flexible Systems serves as a vital resource for researchers, engineers, and students interested in advanced modeling and control solutions for flexible systems, as well as those engaged in control theory applications.