Name
Abstract | ||
|---|---|---|
This paper(1) studies the problem of H-infinity control for linear systems with Markovian jumping parameters. The jumping parameters considered here are two separable continuous-time discrete-state Markov process, one appearing in all system matrices, and one appearing in control variable. Our attention is focused on the design of linear state feedback controllers such that both stochastic stability and a prescribed H-infinity performance are required to be achieved. |
Year | Venue | Keywords |
|---|---|---|
1998 | ICONIP'98: THE FIFTH INTERNATIONAL CONFERENCE ON NEURAL INFORMATION PROCESSING JOINTLY WITH JNNS'98: THE 1998 ANNUAL CONFERENCE OF THE JAPANESE NEURAL NETWORK SOCIETY - PROCEEDINGS, VOLS 1-3 | H infinity control, Markov decision processes, uncertain systems |
Field | DocType | Citations |
Computer science,Markov decision process,Artificial intelligence,Attenuation,Artificial neural network,Machine learning | Conference | 0 |
PageRank | References | Authors |
0.34 | 1 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Peng Shi | 1 | 15816 | 704.36 |
| El Kebir Boukas | 2 | 145 | 17.41 |
| Yan Shi | 3 | 285 | 27.64 |
| ramesh k agarwal | 4 | 97 | 9.86 |