Dissipativity-Based Fuzzy Control of Nonlinear Systems via an Event-Triggered Mechanism

  • Xiaojie SU*
  • , Yao WEN
  • , Yong-Duan SONG
  • , Tasawar HAYAT
  • *Corresponding author for this work

Research output: Journal PublicationsJournal Article (refereed)peer-review

52 Citations (Scopus)

Abstract

This paper investigates the dissipativity-based fuzzy control problem for nonlinear dynamic systems based on the event-triggered mechanism. For the sake of reducing the number of transmissions while maintaining the closed-loop stability of the system, the event-triggered mechanism is considered. Moreover, the dissipativity is also taken into account in designing a controller that ensures the resulting closed-loop system is asymptotically stable and strictly (X,Y,Z) - θ -dissipative. In view of the fuzzy model, the stability of the resulting system is analyzed in terms of Lyapunov stability theory. According to the stability conditions, a fuzzy controller is designed. Additionally, the explicit expression of the desired controller is given in view of linear matrix inequalities. Finally, the corresponding simulation results are plotted by applying the standard software, and a practical example on a truck-trailer model is provided to verify and illustrate the effectiveness and applicability of the proposed fuzzy controller design scheme.
Original languageEnglish
Article number8014464
Pages (from-to)1208-1217
Number of pages10
JournalIEEE Transactions on Systems, Man, and Cybernetics: Systems
Volume49
Issue number6
Early online date22 Aug 2017
DOIs
Publication statusPublished - Jun 2019
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2013 IEEE.

Funding

This work was supported in part by the National Natural Science Foundation of China under Grant 61403048 and 61772095, in part by the Natural Science Foundation of Chongqing, China, under Grant cstc2015jcyjA40005, in part by the Fundamental Research Funds for the Central Universities under Grant 106112016CDJZR175509, and in part by the Science and Technology Commission of Chongqing, China, under Grant cstc2014kjrc-qnrc70003.

Keywords

  • Dissipative control
  • event-triggered mechanism
  • fuzzy control
  • Takagi-Sugeno (T-S) fuzzy systems

Fingerprint

Dive into the research topics of 'Dissipativity-Based Fuzzy Control of Nonlinear Systems via an Event-Triggered Mechanism'. Together they form a unique fingerprint.

Cite this