Abstract
A decentralized adaptive fuzzy sampled-data control problem for switched large-scale nonlinear systems with time-varying delays is considered in this paper. Fuzzy logic systems are applied to handle unknown nonlinear terms. A novel fuzzy adaptive law is proposed utilizing only the information of the system states at sampling instants. Moreover, a proper common Lyapunov function and a new decentralized adaptive sampled-data control law are constructed to ensure that all states of the closed-loop system are bounded. The developed strategy's effectiveness is verified with two examples.
| Original language | English |
|---|---|
| Journal | IEEE Transactions on Fuzzy Systems |
| DOIs | |
| Publication status | Accepted/In press - 2021 |
Keywords
- Adaptive systems
- Decentralized control
- Delays
- Fuzzy control
- Lyapunov methods
- Nonlinear systems
- Switches
- Time-varying systems
- adaptive fuzzy control
- large-scale systems
- sampled-data control
- state feedback
- switched nonlinear systems
ASJC Scopus subject areas
- Control and Systems Engineering
- Computational Theory and Mathematics
- Artificial Intelligence
- Applied Mathematics