Abstract
This paper considers the problem of sampled-data adaptive output feedback fuzzy stabilization for switched uncertain nonlinear systems associated with asynchronous switching. A state observer is designed to estimate the unmeasured states and fuzzy logic systems are employed to deal with the unknown nonlinear terms. Sampled-data controller and novel switched adaptive laws are constructed based on the recursive design method and an average dwell time constraint is given to ensure that the closed-loop system is stable. The proposed scheme is employed in a mass-spring-damper system to demonstrate its effectiveness.
| Original language | English |
|---|---|
| Article number | 8537990 |
| Pages (from-to) | 200-205 |
| Number of pages | 6 |
| Journal | IEEE Transactions on Fuzzy Systems |
| Volume | 27 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 2019 Jan |
Bibliographical note
Funding Information:Manuscript received September 14, 2018; revised November 5, 2018; accepted November 9, 2018. Date of publication November 16, 2018; date of current version December 29, 2018. This work was supported by the National Natural Science Foundation of China (61873128 and 61673219). (Corresponding authors: Zhengrong Xiang and Choon Ki Ahn.) S. Li and Z. Xiang are with the School of Automation, Nanjing University of Science and Technology, Nanjing 210094, China (e-mail:, [email protected]; [email protected]).
Publisher Copyright:
© 1993-2012 IEEE.
Keywords
- Adaptive fuzzy stabilization
- asynchronous switching
- nonlinear systems
- sampled-data control
- switched systems
ASJC Scopus subject areas
- Control and Systems Engineering
- Computational Theory and Mathematics
- Artificial Intelligence
- Applied Mathematics