國立虎尾科技大學 |

Finite-time control of networked systems

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Finite-time control of networked systems/ by Xinsong Yang ... [et al.].
其他作者:	Yang, Xinsong.
出版者:	Singapore :Springer Nature Singapore : : 2025.,
面頁冊數:	x, 422 p. :ill., digital ; : 24 cm.;
Contained By:	Springer Nature eBook
標題:	Mathematical Models of Cognitive Processes and Neural Networks. -
電子資源:	https://doi.org/10.1007/978-981-96-0328-2
ISBN:	9789819603282

Finite-time control of networked systems
Finite-time control of networked systems[electronic resource] /by Xinsong Yang ... [et al.]. - Singapore :Springer Nature Singapore :2025. - x, 422 p. :ill., digital ;24 cm. - Intelligent control and learning systems,v. 172662-5466 ;. - Intelligent control and learning systems ;v. 11..

Introduction -- Preliminaries -- Finite-Time Control of Continuous Systems without Delay -- Finite-Time Control of Continuous Systems with Delay -- Fixed-Time Control of Continuous Systems -- Finite-Time and Fixed-Time Control of Differential Equations with Discontinuous State on The Right Hand Side -- Conclusion.

This book mainly provides recent advances in finite-time and fixed-time control issues for complex networks and neural networks. It is well known that finite-time techniques have more advantages over asymptotical ones. Besides fast convergence rates, finite-time techniques have better robustness and disturbance rejection properties. However, it is challenging to deal with time delay in studying finite-time control. For readers' easy understanding, the finite-time control issue for systems with and without time delays is separately introduced in this book. Moreover, the issues of finite-time and fixed-time control for differential equations with discontinuous states on the right-hand side are also considered. Many interesting results concerning finite-time and fixed-time synchronization are provided in the form of lemmas, theorems, or corollaries, accompanied by systematic theoretical analysis for the proof of their sufficient conditions, controller design, and new analysis techniques. Each new result is verified by at least one numerical example with detailed data analysis. Therefore, this book is an advantageous tool and is beneficial for interested experts and scholars in the control field.

ISBN: 9789819603282

Standard No.: 10.1007/978-981-96-0328-2doiSubjects--Topical Terms:

884110
Mathematical Models of Cognitive Processes and Neural Networks.

LC Class. No.: TJ213

Dewey Class. No.: 629.8

Finite-time control of networked systems
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505 0 $a Introduction -- Preliminaries -- Finite-Time Control of Continuous Systems without Delay -- Finite-Time Control of Continuous Systems with Delay -- Fixed-Time Control of Continuous Systems -- Finite-Time and Fixed-Time Control of Differential Equations with Discontinuous State on The Right Hand Side -- Conclusion.
520 $a This book mainly provides recent advances in finite-time and fixed-time control issues for complex networks and neural networks. It is well known that finite-time techniques have more advantages over asymptotical ones. Besides fast convergence rates, finite-time techniques have better robustness and disturbance rejection properties. However, it is challenging to deal with time delay in studying finite-time control. For readers' easy understanding, the finite-time control issue for systems with and without time delays is separately introduced in this book. Moreover, the issues of finite-time and fixed-time control for differential equations with discontinuous states on the right-hand side are also considered. Many interesting results concerning finite-time and fixed-time synchronization are provided in the form of lemmas, theorems, or corollaries, accompanied by systematic theoretical analysis for the proof of their sufficient conditions, controller design, and new analysis techniques. Each new result is verified by at least one numerical example with detailed data analysis. Therefore, this book is an advantageous tool and is beneficial for interested experts and scholars in the control field.
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