LMI Approach to Analysis and Control of Takagi-Sugeno Fuzzy Systems with Time Delay

LMI Approach to Analysis and Control of Takagi-Sugeno Fuzzy Systems with Time Delay

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SinceinitiatedbyLot?A. Zadehin1965,fuzzysettheoryhastriggeredacons- erably large body of areas to blossom. A fuzzy system is, in a very broad sense, anyfuzzylogic-basedsystemwherefuzzylogiccanbeusedeither asthebasisfor the representation of di?erent forms of system knowledge or the model for the int...

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Bibliographic Details
Main Authors: Lin, Chong (Author), Wang, Qing-Guo (Author), Lee, Tong Heng (Author), He, Yong (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2007.
Series:Lecture Notes in Control and Information Sciences, 351
Subjects:
Engineering.
Artificial intelligence.
System theory.
Control engineering.
Robotics.
Mechatronics.
Control.
Artificial Intelligence (incl. Robotics).
Control, Robotics, Mechatronics.
Systems Theory, Control.
Online Access:Full Text via HEAL-Link
Table of Contents:
  • Stability Analysis of T-S Fuzzy Systems
  • Extension to Fuzzy Large-Scale Systems
  • Stabilization Methods for T-S Fuzzy Systems
  • Variable Structure Control for T-S Fuzzy Systems
  • Observer-Based Fuzzy Control: Delay-Independent Method
  • Observer-Based Fuzzy Control: Delay-Dependent Method
  • Output Tracking Control for T-S Fuzzy Systems
  • Fuzzy Filter Design for T-S Fuzzy Systems
  • Descriptor Method for T-S Fuzzy Control Systems.

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