Title | ||
---|---|---|
Dissipative control for Markov jump non-linear stochastic systems based on T–S fuzzy model |
Abstract | ||
---|---|---|
The dissipative analysis and control problems for a class of Markov jump non-linear stochastic systems MJNSSs are investigated. A sufficient condition for the dissipativity of MJNSSs is given in terms of coupled non-linear Hamilton–Jacobi inequalities HJIs. Generally, it is difficult to solve the coupled HJIs. In this paper, based on T–S fuzzy model, the dissipative analysis and controller design for MJNSSs is proposed via solving a set of linear matrix inequalities LMIs instead of HJIs. Finally, a numerical example is presented to show the effectiveness of the proposed method. |
Year | DOI | Venue |
---|---|---|
2014 | 10.1080/00207721.2012.748103 | Int. J. Systems Science |
Keywords | Field | DocType |
fuzzy model,dissipative analysis,non-linear hamilton,dissipative control,systems mjnsss,linear matrix inequality,control problem,jacobi inequalities hjis,markov jump non-linear stochastic,controller design,fuzzy control | Mathematical optimization,Fuzzy model,Nonlinear system,Controller design,Control theory,Matrix (mathematics),Dissipative system,Markov chain,Fuzzy control system,Jump,Mathematics | Journal |
Volume | Issue | ISSN |
45 | 5 | 0020-7721 |
Citations | PageRank | References |
8 | 0.52 | 24 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Li Sheng | 1 | 125 | 15.24 |
Ming Gao | 2 | 79 | 8.36 |
Weihai Zhang | 3 | 625 | 67.73 |