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Predictive learning control for unkn...

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Predictive learning control for unknown nonaffine nonlinear systems = theory and applications /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Predictive learning control for unknown nonaffine nonlinear systems/ by Qiongxia Yu ... [et al.].
其他題名:	theory and applications /
其他作者:	Yu, Qiongxia.
出版者:	Singapore :Springer Nature Singapore : : 2023.,
面頁冊數:	ix, 206 p. :ill. (some col.), digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Predictive control. -
電子資源:	https://doi.org/10.1007/978-981-19-8857-8
ISBN:	9789811988578

Predictive learning control for unknown nonaffine nonlinear systems = theory and applications /
Predictive learning control for unknown nonaffine nonlinear systemstheory and applications /[electronic resource] :by Qiongxia Yu ... [et al.]. - Singapore :Springer Nature Singapore :2023. - ix, 206 p. :ill. (some col.), digital ;24 cm. - Intelligent control and learning systems,v. 82662-5466 ;. - Intelligent control and learning systems ;v. 8..

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.

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.

ISBN: 9789811988578

Standard No.: 10.1007/978-981-19-8857-8doiSubjects--Topical Terms:

667592
Predictive control.

LC Class. No.: TJ217.6 / .Y8 2023

Dewey Class. No.: 629.8

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520 $a 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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