Abstract
In this paper, the problem of H∞ model reduction for a class of discrete-time Markov jump nonlinear systems with time-varying delays is investigated. Based on the Lyapunov-Krasovskii functional method, sufficient stability conditions in terms of strict LMIs are derived for the model error system. Projection approach is employed to construct a reduced-order model such that the model error system is asymptotically stable and preserves a guaranteed H∞ performance. A numerical example is presented to illustrate the effectiveness of the developed theoretical results and to make comparisons among systems with different structures and parameters.
| Original language | English |
|---|---|
| Pages (from-to) | 436-446 |
| Number of pages | 11 |
| Journal | Neurocomputing |
| Volume | 166 |
| DOIs | |
| State | Published - 20 Oct 2015 |
Keywords
- H model reduction
- Markov jump systems
- Nonlinear systems
- Projection approach
- Takagi-Sugeno (T-S) fuzzy systems
- Time-varying delays
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