Abstract
This paper addresses the issue of robust fuzzy sliding mode control for continuous-Time nonlinear Takagi-Sugeno fuzzy systems with semi-Markovian switching. The focus is on designing a novel fuzzy integral sliding surface without assuming that the input matrices are the same with full column rank and then developing a fuzzy sliding-mode controller for stochastic stability purpose. Based on Lyapunov theory, a set of newly developed linear matrix inequality conditions are established for stochastic stability of the sliding-mode dynamics with generally uncertain transition rates, and then extended to where the input matrix is plant-rule-independent, as discussed in most existing literatures. Furthermore, finite-Time reachability of the sliding surface is also guaranteed by the proposed fuzzy sliding-mode control laws. A practical example is provided to demonstrate the effectiveness of the established method numerically.
| Original language | English |
|---|---|
| Article number | 8361447 |
| Pages (from-to) | 3594-3604 |
| Number of pages | 11 |
| Journal | IEEE Transactions on Fuzzy Systems |
| Volume | 26 |
| Issue number | 6 |
| DOIs | |
| State | Published - Dec 2018 |
| Externally published | Yes |
Keywords
- Linear matrix inequality (LMI)
- T-S fuzzy systems
- semi-Markovian jump systems (S-MJSs)
- sliding-mode control (SMC)
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