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Takagi-Sugeno Fuzzy Systems Non-fragile H-infinity Filtering pp 1–15Cite as

Introduction

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Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 282))

Abstract

In the past few decades, with the growing complexity of dynamic systems, nonlinear systems control theory has received more and more attention. However, due to the nonlinearity in nature, controlling and filtering for nonlinear systems are a great difficulty. To overcome such problem, many methods have been proposed. A common approach to designing a controller for nonlinear systems is to linearize the system about an operating point, and uses linear control theory to design a controller. However, when a wide range operation of the system is required, this approach may not work. In order to design an appropriate controller, various schemes have been developed in the past two decades, among which a successful approach is the fuzzy control.

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Authors and Affiliations

  1. College of Engineering, Bohai University, Keji Road, Jinzhou, People’s Republic of China

    Xiao-Heng Chang

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  1. Xiao-Heng Chang
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Chang, XH. (2012). Introduction. In: Takagi-Sugeno Fuzzy Systems Non-fragile H-infinity Filtering. Studies in Fuzziness and Soft Computing, vol 282. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28632-2_1

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  • DOI: https://doi.org/10.1007/978-3-642-28632-2_1

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