Predictive Learning Control for Unknown Nonaffine Nonlinear Systems
Author | : Qiongxia Yu |
Publisher | : Springer Nature |
Total Pages | : 219 |
Release | : 2023-02-17 |
ISBN-10 | : 9789811988578 |
ISBN-13 | : 9811988579 |
Rating | : 4/5 (579 Downloads) |
Download or read book Predictive Learning Control for Unknown Nonaffine Nonlinear Systems written by Qiongxia Yu and published by Springer Nature. This book was released on 2023-02-17 with total page 219 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book investigates both theory and various applications of predictive learning control (PLC) which is an advanced technology for complex nonlinear systems. To avoid the difficult modeling problem for complex nonlinear systems, this book begins with the design and theoretical analysis of PLC method without using mechanism model information of the system, and then a series of PLC methods is designed that can cope with system constraints, varying trial lengths, unknown time delay, and available and unavailable system states sequentially. Applications of the PLC on both railway and urban road transportation systems are also studied. The book is intended for researchers, engineers, and graduate students who are interested in predictive control, learning control, intelligent transportation systems and related fields.