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T–S Fuzzy Systems

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Abstract

This chapter presents an overview of ideas and techniques of Takagi–Sugeno (T–S) fuzzy systems. In Chap. 1, we have introduced the basic concepts of fuzzy sets, fuzzy logic, and fuzzy inference mechanism. This chapter aims to present a necessarily selective review on T–S fuzzy systems including their architectures, important properties, and applicability in the field of nonlinear system identification and control with particular emphasis on the issues which are directly related to the main topics addressed in the following chapters.

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Authors and Affiliations

  1. College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu, China

    Ruiyun Qi & Bin Jiang

  2. School of Engineering and Applied Science, University of Virginia, Charlottesville, VI, USA

    Gang Tao

Authors
  1. Ruiyun Qi
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  2. Gang Tao
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  3. Bin Jiang
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Qi, R., Tao, G., Jiang, B. (2019). T–S Fuzzy Systems. In: Fuzzy System Identification and Adaptive Control. Communications and Control Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-19882-4_2

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