Name
Abstract | ||
|---|---|---|
A variable structure control (VSC) scheme for linear black-box multi-input/multi-output (MIMO) systems based on support vector machine (SVM) is developed. After analyzing character of MIMO system, an additional control is designed to track trajectory. Then VSC algorithm is adopted to eliminate the difference. By estimating outputs of next step, VSC inputs and additional inputs are obtained directly by two kinds of trained SVMs, and so recognition of system parameters is avoided. A linear MIMO system is introduced to prove the scheme, and simulation shows that the high identification precision and quick training speed. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/11760023_137 | ISNN (2) |
Keywords | Field | DocType |
linear black-box multi-input,system parameter,mimo system,vsc input,additional input,linear mimo system,vsc algorithm,high identification precision,additional control,vsc method,variable structure control,support vector machine | Black box (phreaking),Mimo systems,Computer science,Control theory,Support vector machine,MIMO,Artificial neural network,Variable structure control,Trajectory,Statistical analysis | Conference |
Volume | ISSN | ISBN |
3972 | 0302-9743 | 3-540-34437-3 |
Citations | PageRank | References |
0 | 0.34 | 4 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yibo Zhang | 1 | 23 | 6.51 |
| Daoying Pi | 2 | 50 | 9.21 |
| Youxian Sun | 3 | 2707 | 196.15 |
| Chi Xu | 4 | 3 | 1.48 |
| Sizhen Chu | 5 | 3 | 1.48 |