Earticle

초록

영어

This paper proposed a novel fuzzy Variable Structure Controller (VSC) design for uncertain T-S fuzzy system, while neither assuming the control matrices of each local T-S model to be same nor knowing the priori information of the upper norm-bounds of uncertainties. The existence condition of desired sliding surfaces and the asymptotical stability of the reduced-order equivalent sliding-mode dynamics are firstly derived by solving a set of linear matrix inequalities (LMIs). After the establishment of the local T-S model, the upper norm-bounds of uncertainties and modeling errors between the original and local systems are estimated. Then, the designed VSC controller composes of a state-feedback control term and an adaptive switching-feedback control term, which are achieved based on the Lyapunov function method. Finally, a numerical example is illustrated in order to show the effectiveness of the proposed methods.

목차

Abstract
 1. Introduction
 2. Problem Formulation and Preliminaries
 3. Controller Design
  3.1. Design of the Sliding Function and Stability Analysis of the Sliding Motion
  3.2. Design of Controller and Adaptive Laws
 4. Numerical Simulation
 5. Conclusion
 Acknowledgements
 References

키워드

저자

• X. Z. Zhang [ The CIC of Hunan Institute of Engineering, Xiangtan 411104, China. School of Electrical and Information Engineering, Hunan University, Changsha 410082, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Control and Automation

• 간기

  월간

• pISSN

  2005-4297

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605