Relaxed Control Design of Discrete-Time Takagi-Sugeno Fuzzy Systems: An Event-Triggered Real-Time Scheduling Approach

This paper is focused on the issue of scheduling stabilization of Takagi-Sugeno fuzzy control systems by the aid of digging down much deeper of implicit information in the underlying systems. An event-triggered real-time scheduler that decides which control mode should be executed at any given insta...

Full description

Saved in:
Bibliographic Details
Published inIEEE transactions on systems, man, and cybernetics. Systems Vol. 48; no. 12; pp. 2251 - 2262
Main Authors Xie, Xiangpeng, Zhou, Qi, Yue, Dong, Li, Hongyi
Format Journal Article
LanguageEnglish
Published New York IEEE 01.12.2018
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Adaptive policy
Automation
Control tasks
Discrete time systems
event-triggered
Fuzzy control
Fuzzy systems
Lyapunov methods
Nonlinear systems
Real time
real-time scheduling
Real-time systems
Scheduling
Telecommunications
Weighting functions
Online AccessGet full text

Cover

More Information
Summary:This paper is focused on the issue of scheduling stabilization of Takagi-Sugeno fuzzy control systems by the aid of digging down much deeper of implicit information in the underlying systems. An event-triggered real-time scheduler that decides which control mode should be executed at any given instant is constructed by periodically evaluating the joint-distribution-type of multi-instant normalized fuzzy weighting functions at every sampled instant. Profiting from the proposed event-triggered scheduling policy, the proper control mode for the current instant is updated in order to adapt time-varying situations once if the underlying joint-distribution-type changes, and thus previous implementations of control tasks with an unchanged control mode can be further relaxed in this paper. The effectiveness of our approach is verified by several simulation examples in the end.
ISSN:2168-2216
2168-2232
DOI:10.1109/TSMC.2017.2737542