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

Condition: BRAND NEW ISBN: 9781394255276 Author(s): Hejia Gao Format: Hardcover Language: English Year: 2024 Publisher: John Wiley & Sons Inc Pages: 272 Series: IEEE Press Series on Control Systems Theory and Applications

Description: Comprehensive treatment of several representative flexible systems, ranging from dynamic modeling and intelligent control design through to stability analysis Fully illustrated throughout, Dynamic Modeling and Neural Network-Based Intelligent Control of Flexible Systems proposes high-efficiency modeling methods and novel intelligent control strategies for several representative flexible systems developed by means of neural networks. It discusses tracking control of multi-link flexible manipulators, vibration control of flexible buildings under natural disasters, and fault-tolerant control of bionic flexible flapping-wing aircraft and addresses common challenges like external disturbances, dynamic uncertainties, output constraints, and actuator faults. Expanding on its theoretical deliberations, the book includes many case studies demonstrating how the proposed approaches work in practice. Experimental investigations are carried out on Quanser Rotary Flexible Link, Quanser 2 DOF Serial Flexible Link, Quanser Active Mass Damper, and Quanser Smart Structure platforms. The book starts by providing an overview of dynamic modeling and intelligent control of flexible systems, introducing several important issues, along with modeling and control methods of three typical flexible systems. Other topics include: Foundational mathematical preliminaries including the Hamilton principle, model discretization methods, LagrangeA?s equation method, and LyapunovA?s stability theoremDynamic modeling of a single-link flexible robotic manipulator and vibration control design for a string with the boundary time-varying output constraintUnknown time-varying disturbances, such as earthquakes and strong wi