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商品詳細
Nonlinear Pinning Control of Complex Dynamical Networks: Analysis and Applications.
・ISBN 978-1-032-02087-7 hard GB£ 187.99
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| 著者・編者 | Sanchez, Edgar N. / Vega, Carlos J. / Suarez, Oscar J. / Chen, Guanrong, |
|---|---|
| シリーズ | (Automation and Control Engineering) |
| 出版社 | (CRC Press, UK) |
| 出版年月 | 2021 |
| ページ数 | 202 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A01-24914＞ |
解説
This book presents two nonlinear control strategies for complex dynamical networks. First, sliding-mode control is used, and then the inverse optimal control approach is employed. For both cases, model-based is considered in Chapter 3 and Chapter 5; then, Chapter 4 and Chapter 6 are based on determining a model for the unknow system using a recurrent neural network, using on-line extended Kalman filtering for learning.
The book is organized in four sections. The first one covers mathematical preliminaries, with a brief review for complex networks, and the pinning methodology. Additionally, sliding-mode control and inverse optimal control are introduced. Neural network structures are also discussed along with a description of the high-order ones. The second section presents the analysis and simulation results for sliding-mode control for identical as well as non-identical nodes. The third section describes analysis and simulation results for inverse optimal control considering identical or non-identical nodes. Finally, the last section presents applications of these schemes, using gene regulatory networks and microgrids as examples.