Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
411880 | Neurocomputing | 2015 | 11 Pages |
Abstract
In this paper, the problem of H∞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∞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.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Xunyuan Yin, Zhaojian Li, Lixian Zhang, Changhong Wang, Wafa Shammakh, Bashir Ahmad,