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Adaptive T–S Fuzzy Control Using Output Feedback: MIMO Case

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

Abstract

In Chap.  7, we developed adaptive output feedback fuzzy control schemes of single-input single-output (SISO)  discrete-time nonlinear systems with multiple input–output delays based on their T–S fuzzy approximation models. The goal of this chapter is to extend the results in Chap.  7 to multiple-input multiple-output (MIMO)  nonlinear systems. We will develop a solution framework for adaptive fuzzy control of MIMO discrete-time nonlinear systems, by modeling them using discrete-time T–S fuzzy systems, parameterizing T–S fuzzy systems with uncertain parameters, designing and analyzing an adaptive control scheme for such systems, and establishing and evaluating desired adaptive control system properties.

References

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  2. Qi R, Tao G, Jiang B, Gong H (2011) Adaptive control of MIMO T-S fuzzy systems with general delay matrice. In: Proceeding of the 18th IFAC world congress. Milano, Italy, pp 3446–3450CrossRefGoogle Scholar
  3. Qi R, Tao G, Jiang B (2014) Adaptive control of MIMO time-varying systems with indicator function based parametrization. Automatica 50(5):1369–1380MathSciNetCrossRefGoogle Scholar
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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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