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商品詳細
Fuzzy System Identification and Adaptive Control. 2019 ed.
・ISBN 978-3-030-19884-8 paper EUR 139.99
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| 著者・編者 | Qi, Ruiyun / Tao, Gang / Jiang, Bin, |
|---|---|
| シリーズ | (Communications and Control Engineering) |
| 出版社 | (Springer Nature Switzerland AG, SZ) |
| 出版年月 | 2020 |
| ページ数 | 282 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A02-71691＞ |
解説
This book provides readers with a systematic and unified framework for identification and adaptive control of Takagi-Sugeno (T-S) fuzzy systems. Its design techniques help readers applying these powerful tools to solve challenging nonlinear control problems. The book embodies a systematic study of fuzzy system identification and control problems, using T-S fuzzy system tools for both function approximation and feedback control of nonlinear systems. Alongside this framework, the book also:
- introduces basic concepts of fuzzy sets, logic and inference system;
- discusses important properties of T-S fuzzy systems;
- develops offline and online identification algorithms for T-S fuzzy systems;
- investigates the various controller structures and corresponding design conditions for adaptive control of continuous-time T-S fuzzy systems;
- develops adaptive control algorithms for discrete-time input-output formT-S fuzzy systems with much relaxed design conditions, and discrete-time state-space T-S fuzzy systems; and
- designs stable parameter-adaptation algorithms for both linearly and nonlinearly parameterized T-S fuzzy systems.
Fuzzy System Identification and Adaptive Control helps engineers in the mechanical, electrical and aerospace fields, to solve complex control design problems. The book can be used as a reference for researchers and academics in nonlinear, intelligent, adaptive and fault-tolerant control.