UID:
almahu_9950000734102882
Format:
X, 422 p. 163 illus., 153 illus. in color.
,
online resource.
Edition:
1st ed. 2025.
ISBN:
9789819603282
Series Statement:
Intelligent Control and Learning Systems, 17
Content:
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.
Note:
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.
In:
Springer Nature eBook
Additional Edition:
Printed edition: ISBN 9789819603275
Additional Edition:
Printed edition: ISBN 9789819603299
Additional Edition:
Printed edition: ISBN 9789819603305
Language:
English
DOI:
10.1007/978-981-96-0328-2
URL:
https://doi.org/10.1007/978-981-96-0328-2
URL:
Volltext
(URL des Erstveröffentlichers)
Bookmarklink
