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Predictive learning control for unknown nonaffine nonlinear systems : theory and applications / Qiongxia Yu, Ting Lei, Fengchen Tian, Zhongsheng Hou, Xuhui Bu.

Yu, Qiongxia, author.; Lei, Ting, author.; Tian, Fengchen, author.; Hou, Zhongsheng, author.; Bu, Xuhui, author.
2023
TJ217.6
Available Online
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Title
Predictive learning control for unknown nonaffine nonlinear systems : theory and applications / Qiongxia Yu, Ting Lei, Fengchen Tian, Zhongsheng Hou, Xuhui Bu.
Author
Yu, Qiongxia, author.
ISBN
9789811988578 (electronic bk.)
9811988579 (electronic bk.)
9789811988561
DOI
https://doi.org/10.1007/978-981-19-8857-8
Published
Singapore : Springer, 2023.
Language
English
Description
1 online resource (ix, 206 pages) : illustrations (some color).
Item Number
10.1007/978-981-19-8857-8 doi
Call Number
TJ217.6
Dewey Decimal Classification
629.8
Summary
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.
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Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed February 20, 2023).
Added Author
Lei, Ting, author.
Tian, Fengchen, author.
Hou, Zhongsheng, author.
Bu, Xuhui, author.
Series
Intelligent control and learning systems ; v. 8.
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Chapter 1: Introduction
Chapter 2 Predictive Learning Control for Unknown Systems
Chapter 3 Constrained Predictive Learning Control
Chapter 4 Predictive Learning Control for Systems with Varying Trial Lengths
Chapter 5 Predictive Learning Control for Systems with Unknown Time Delay
Chapter 6 Predictive Learning Control for Systems with Full Available States
Chapter 7 Predictive Learning Control for Systems with Unavailable States
Chapter 8 High-Speed Train Automatic Operation Systems
Chapter 9 Fundamental Two-Region Urban Road Networks
Chapter 10 Complex Large-Scale Multi-Region Urban Traffic Systems
Chapter 11 Conclusions.

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