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Adaptive T–S Fuzzy State Tracking Control Using State Feedback

  • Ruiyun Qi
  • Gang Tao
  • Bin Jiang
Chapter
Part of the Communications and Control Engineering book series (CCE)

Abstract

In this chapter, we will focus on adaptive state tracking control designs for T–S fuzzy systems. As is well-known, for model reference adaptive control of linear systems, there are some matching conditions between the plant and the reference model which should be satisfied such that state tracking can be achieved. For T–S fuzzy systems, there also exist such plant-model matching conditions which will be developed in this chapter. The reference model for a linear system is usually a stable linear system. For a T–S fuzzy system, the reference model can be chosen as either a stable linear system or a stable T–S fuzzy system, which leads to different matching conditions.

References

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Ruiyun Qi
    • 1
  • Gang Tao
    • 2
  • Bin Jiang
    • 1
  1. 1.College of Automation EngineeringNanjing University of Aeronautics and AstronauticsNanjingChina
  2. 2.School of Engineering and Applied ScienceUniversity of VirginiaCharlottesvilleUSA

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