Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10226037 | Journal of the Franklin Institute | 2018 | 17 Pages |
Abstract
The present paper considers the issue of robust Hâ control for nonhomogeneous Markovian jump systems (NMJSs) subject to quantized feedback and probabilistic measurements. The time-varying property of the transition probability (TP) is modeled by polytope. The quantized control law, which makes full use of the information of communication limitation of channel resources, is developed. The probabilistic measurements are utilized to model the unideal information transmission. A novel sufficient condition is achieved in the form of linear matrix inequalities (LMIs). Finally, numerical examples are adopted to demonstrate the feasibility and effectiveness of the presented theoretical results.
Related Topics
Physical Sciences and Engineering
Computer Science
Signal Processing
Authors
Dian Zhang, Jun Cheng, Ju H. Park, Jinde Cao,