We study the design problem of dynamic event-triggered (ET) fuzzy control methodology for discrete-time Takagi–Sugeno (T–S) systems in this work. The observed-state error is utilized to derive the event condition. Sufficient condition for the asymptotic stability of the closed-loop fuzzy system and the observer error system under the event-triggered fuzzy control is provided by linear matrix inequality (LMI). Moreover, the corresponding self-triggered (ST) fuzzy control is developed where the following control action is estimated in terms of the current sampled data. Furthermore, simulations are given to represent the feasibility and efficiency of the achieved results.
Bibliographical notePublisher Copyright:
© 2016 The Franklin Institute
ASJC Scopus subject areas
- Control and Systems Engineering
- Signal Processing
- Computer Networks and Communications
- Applied Mathematics