Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4974850 | Journal of the Franklin Institute | 2014 | 18 Pages |
Abstract
This paper addresses the Hâ performance analysis problem for singular Markov jump delayed systems with polyhedral parameter uncertainties. By introducing two useful inequalities (see Lemma 2), some new bounded real lemmas (BRLs) are obtained based on a novel parameter-dependent Lyapunov functional. The presented BRLs can guarantee that the considered system is stochastically admissible and satisfies a prescribed Hâ performance level. Two numerical examples are provided to demonstrate the improvement of the proposed method over the existing methods.
Related Topics
Physical Sciences and Engineering
Computer Science
Signal Processing
Authors
Jing Wang, Ju H. Park, Hao Shen,