Name
Abstract | ||
|---|---|---|
Stabilization of linear Markov jump systems via adaptive control is considered in this paper. The switching law is assumed to be unobservable Markov process. A sufficient condition is obtained for the stochastic stabilizability based on common quadratic Lyapunov functions (QLFs). The constructive proof provides a method to construct a sampling adaptive stabilizer. An example is used to describe the design of adaptive control, which stabilizes the system. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1080/00207720600752608 | INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE |
Keywords | Field | DocType |
switched system, common quadratic Lyapunov function, linear Markov jump system, adaptive control | Lyapunov function,Mathematical optimization,Markov process,Markov model,Control theory,Markov chain,Quadratic function,Variable-order Markov model,Adaptive control,Jump process,Mathematics | Journal |
Volume | Issue | ISSN |
37 | 7 | 0020-7721 |
Citations | PageRank | References |
5 | 0.49 | 10 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Daizhan Cheng | 1 | 2923 | 235.27 |
| Lijun Zhang | 2 | 34 | 2.13 |