Name
Abstract | ||
|---|---|---|
A variable structure control (VSC) scheme for linear MIMO systems based on support vector machine (SVM) is developed. By analyzing
the characters of linear MIMO system, a VSC scheme based on Exponent Reaching Law is adopted to track desired trajectory.
Then one input of the system is trained as the output of SVM, while sliding mode function, differences and other inputs of
the system are trained as the inputs of SVM. So one VSC input of the black-box system could be obtained directly by trained
SVM after other inputs of the system are selected manually, and recognition of system parameters is avoided. A linear MIMO
system is used to prove the scheme, and simulation results show that this scheme has high identification precision and quick
training speed.
|
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/11539087_91 | International Conference on Natural Computation |
Keywords | DocType | Volume |
vsc scheme,system parameter,vsc input,mode function,trained svm,simulation result,linear mimo system,black-box system,high identification precision,quick training speed,support vector machine,variable structure control | Conference | 3610 |
ISSN | ISBN | Citations |
0302-9743 | 3-540-28323-4 | 0 |
PageRank | References | Authors |
0.34 | 4 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yibo Zhang | 1 | 23 | 6.51 |
| Yang Chunjie | 2 | 12 | 7.26 |
| Daoying Pi | 3 | 50 | 9.21 |
| Youxian Sun | 4 | 2707 | 196.15 |