Fuzzy Control Systems Design and Analysis: A Linear Matrix Inequality Approach
Fuzzy Control Systems Design and Analysis: A Linear Matrix Inequality Approach
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DOI：
10.1002/0471224596
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发表时间：
2008-05
期刊：
影响因子：
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通讯作者：
Kazuo Tanaka;Hong Wang
中科院分区：
文献类型：
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作者：
Kazuo Tanaka;Hong Wang
出版商说明：基于模型的模糊控制系统的综合论述
本书全面涵盖了非线性模糊控制系统稳定性和设计的系统框架。基于高木 - 关野模糊模型，作者田中和王探讨了模糊控制系统中的许多重要问题，包括稳定性分析、系统设计流程、性能指标的纳入、数值实现以及实际应用。在现有文献中未得到充分论述的问题，如稳定性分析、系统设计和性能分析，对于模糊控制方法的有效性和适用性至关重要。《模糊控制系统设计与分析》在并行分布补偿的框架内探讨这些问题，并行分布补偿是一种根据模糊模型设计的控制器结构。这种均衡的论述包括对模糊控制、建模和稳定性分析的概述，以及关于使用线性矩阵不等式（LMI）作为模糊设计和控制方法的章节。它还涵盖了基于模型的模糊控制系统的高级主题，包括混沌系统的建模和控制。后面的章节以对机器人系统中模糊控制的详细理论和实验研究的形式提供了实际案例，并讨论了该领域的未来发展方向。《模糊控制系统设计与分析》对模糊控制进行了深入的论述，为该领域的研究人员提供了有用的参考，也为该领域的高年级研究生提供了可靠的教材。
From the Publisher: A comprehensive treatment of model-based fuzzy control systems This volume offers full coverage of the systematic framework for the stability and design of nonlinear fuzzy control systems. Building on the Takagi-Sugeno fuzzy model, authors Tanaka and Wang address a number of important issues in fuzzy control systems, including stability analysis, systematic design procedures, incorporation of performance specifications, numerical implementations, and practical applications. Issues that have not been fully treated in existing texts, such as stability analysis, systematic design, and performance analysis, are crucial to the validity and applicability of fuzzy control methodology. Fuzzy Control Systems Design and Analysis addresses these issues in the framework of parallel distributed compensation, a controller structure devised in accordance with the fuzzy model. This balanced treatment features an overview of fuzzy control, modeling, and stability analysis, as well as a section on the use of linear matrix inequalities (LMI) as an approach to fuzzy design and control. It also covers advanced topics in model-based fuzzy control systems, including modeling and control of chaotic systems. Later sections offer practical examples in the form of detailed theoretical and experimental studies of fuzzy control in robotic systems and a discussion of future directions in the field. Fuzzy Control Systems Design and Analysis offers an advanced treatment of fuzzy control that makes a useful reference for researchers and a reliable text for advanced graduate students in the field.