Name
Abstract | ||
|---|---|---|
In this paper, a robust adaptive control scheme is proposed for a class of uncertain MIMO time delay systems based on backstepping method with Radical basis function(RBF) neural network. The system uncertainty is approximated by RBF neural networks, and a parameter update law is presented for approximating the system uncertainty. In each step, the control scheme is derived in terms of linear matrix inequalities (LMI's). A robust adaptive controller is designed using backstepping and LMI method based on the output of the RBF neural networks. Finally, an example is given to illustrate the availability of the proposed control scheme. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/978-3-540-72383-7_15 | ISNN (1) |
Keywords | Field | DocType |
neural network,backstepping control,control scheme,robust adaptive control scheme,uncertain time delay systems,rbf neural network,robust adaptive controller,system uncertainty,backstepping method,lmi method,proposed control scheme,radical basis function,linear matrix inequality | Backstepping,Control theory,Matrix (mathematics),Control theory,Computer science,MIMO,Probabilistic neural network,Basis function,Artificial intelligence,Adaptive control,Artificial neural network,Machine learning | Conference |
Volume | ISSN | Citations |
4491 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 8 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mou Chen | 1 | 1251 | 59.31 |
| Chang-Sheng Jiang | 2 | 88 | 9.02 |
| Qing-xian Wu | 3 | 105 | 10.76 |
| Wen-Hua Chen | 4 | 583 | 40.68 |