| 书目名称 | Intelligent Control, Filtering and Model Reduction Analysis for Fuzzy-Model-Based Systems | | 编辑 | Xiaojie Su,Yao Wen,Peng Shi | | 视频video | | | 概述 | Shows multi-model approach in which simple sub-models (typically linear models) are fuzzily combined to describe the global behavior of a nonlinear system.Includes fresh novel techniques including the | | 丛书名称 | Studies in Systems, Decision and Control | | 图书封面 |  | | 描述 | This book aims to introduce the state-of-the-art research of stability/performance analysis and optimal synthesis methods for fuzzy-model-based systems. A series of problems are solved with new approaches of design, analysis and synthesis of fuzzy systems, including stabilization control and stability analysis, dynamic output feedback control, fault detection filter design, and reduced-order model approximation. Some efficient techniques, such as Lyapunov stability theory, linear matrix inequality, reciprocally convex approach, and cone complementary linearization method, are utilized in the approaches. This book is a comprehensive reference for researchers and practitioners working on intelligent control, model reduction, and fault detection of fuzzy systems, and is also a useful source of information for senior undergraduates and graduates in these areas. The readers will benefit from some new concepts and methodologies with theoretical and practical significance in system analysis and control synthesis. | | 出版日期 | Book 2022 | | 关键词 | Intelligent Control; Filtering Analysis; Fuzzy-Model-Based Systems; Stability Analysis; Fuzzy Control; T- | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-81214-0 | | isbn_softcover | 978-3-030-81216-4 | | isbn_ebook | 978-3-030-81214-0Series ISSN 2198-4182 Series E-ISSN 2198-4190 | | issn_series | 2198-4182 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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发表于 2025-3-21 18:02:13
