Abstract
This article investigates the output feedback adaptive fuzzy event-triggered fault-tolerant control issue of nonlinear switched large-scale systems. First, a new state observer is established to estimate unmeasured states. Fuzzy logic systems are exploited to identify both unknown interconnections and uncertainties. Next, the Nussbaum gain technique is employed to tackle actuator failures and unknown control directions. A novel adaptive fuzzy fault-tolerant event-triggered controller is derived to guarantee the boundedness of closed-loop signals. Moreover, the Zeno phenomenon can be avoided. Finally, a practical simulation is given to illustrate the validity of the developed method.
| Original language | English |
|---|---|
| Pages (from-to) | 2102-2109 |
| Number of pages | 8 |
| Journal | IEEE Systems Journal |
| Volume | 16 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 2022 Jun 1 |
Bibliographical note
Funding Information:This work was supported in part by the National Natural Science Foundation of China under Grant 61873128 and in part by the Postgraduate Research and Practice Innovation Program of Jiangsu Province under Grant KYCX20_0297
Publisher Copyright:
© 2007-2012 IEEE.
Keywords
- Actuator failures
- adaptive fuzzy control
- event-triggered control
- large-scale systems
- nonlinear switched systems
ASJC Scopus subject areas
- Control and Systems Engineering
- Information Systems
- Computer Science Applications
- Computer Networks and Communications
- Electrical and Electronic Engineering