Abstract
In this paper, a novel dynamic sliding mode control scheme is proposed for a class of uncertain stochastic nonlinear time-delay systems represented by Takagi-Sugeno fuzzy models. The key advantage of the proposed scheme is that two very restrictive assumptions in most existing sliding mode control approaches for stochastic fuzzy systems have been removed. It is shown that the closed-loop control system trajectories can be driven onto the sliding surface in finite time almost certainly. It is also shown that the stochastic stability of the resulting sliding motion can be guaranteed in terms of linear matrix inequalities; moreover, the sliding-mode controller can be obtained simultaneously. Simulation results illustrating the advantages and effectiveness of the proposed approaches are also provided. © 2013 IEEE.
| Original language | English |
|---|---|
| Article number | 6678199 |
| Pages (from-to) | 1556-1566 |
| Journal | IEEE Transactions on Cybernetics |
| Volume | 44 |
| Issue number | 9 |
| Online published | 3 Dec 2013 |
| DOIs | |
| Publication status | Published - Sept 2014 |
Research Keywords
- Dynamic sliding-mode controllers
- sliding mode control (SMC)
- stochastic nonlinear systems
- Takagi - Sugeno (T - S) fuzzy models
- time delay
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