Advertisement

Robust H ∞  Control for T-S Fuzzy DOSs with Time Delays

  • Hongjiu Yang
  • Yuanqing Xia
  • Peng Shi
  • Ling Zhao
Part of the Lecture Notes in Control and Information Sciences book series (LNCIS, volume 430)

Introduction

Fuzzy technique has been widely and successfully used in nonlinear system modeling and control for more than two decades. T-S fuzzy model was introduced in [223]. The T-S fuzzy system has emerged as one of active and fruitful areas of fuzzy control in recent years, see for example [44, 47, 148, 210, 216] and the references therein. Fuzzy automata and syntactic analysis approach have been used for fault diagnosis [199]. Two different methods on simulate fuzzy random variables have been presented in [81]. Fuzzy H  ∞  control has been investigated in [76, 152, 179]. By using a fuzzy linear model, an MIMO adaptive sliding mode controller has been proposed in systems [37]. Fuzzy filter has been established by using Lyapuonv function approach in [181, 297]. A stabilization problem for T-S fuzzy systems with nonuniform uncertain sampling was investigated in [65]. By a fuzzy output feedback controller, a stabilizing problem of nonlinear systems has been addressed in [180]. Stabilization analysis for a T-S discrete fuzzy model has been presented based on a non-PDC control law [85]. Using a non-PDC control law, an extensive result has been presented for T-S discrete fuzzy systems in [45].

Keywords

State Feedback Controller Fuzzy Random Variable Model Reference Adaptive Control Delta Operator Large Time Delay 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer-Verlag GmbH Berlin Heidelberg 2012

Authors and Affiliations

  • Hongjiu Yang
    • 1
  • Yuanqing Xia
    • 2
  • Peng Shi
    • 3
  • Ling Zhao
    • 4
  1. 1.Institute of Electrical EngineeringYanshan UniversityQinhuangdaoChina, People’s Republic
  2. 2.School of AutomationBeijing Institute of TechnologyBeijingChina, People’s Republic
  3. 3.Department of Computing and Mathematical SciencesUniversity of GlamorganPontypriddUnited Kingdom
  4. 4.College of Mechanical EngineeringYanshan UniversityQinhuangdaoChina, People’s Republic

Personalised recommendations