Adaptive Identification And Control Of Uncertain Systems With Non-Smooth Dynamics (Emerging Methodologies And Applications In Modelling, Identification And Control)

Adaptive Identification and Control of Uncertain Systems with Non-smooth Dynamics reports on the latest research outputs on the modeling, identification and adaptive control of systems with non-smooth dynamics (e.g. backlash, dead zone, friction, saturation, etc.). The book consists of two parts, with Part One discussing several new models that represent non-smooth dynamics embedded in systems and their associated modeling and identification (parameter estimation) methodologies. Part Two of the book proposes advanced control designs for uncertain systems, where previously derived models are incorporated into the control synthesis. Practical experiments are also included in this book to validate and exemplify the proposed approaches. Thus, this book also provides references for potential readers/users for use with their ad hoc applications. Reports the latest research outputs on the modeling, identification and adaptive control for systems with nonsmooth dynamics Provides practical application and experimental results for robotic systems and servo motors

• | Author: Jing Na, Qiang Chen, Xuemei Ren
• | Publisher: Academic Press
• | Publication Date: Jun 20, 2018
• | Number of Pages: 336 pages
• | Language: English
• | Binding: Paperback/Technology & Engineering
• | ISBN-10: 0128136839
• | ISBN-13: 9780128136836