Name
Abstract | ||
|---|---|---|
In this paper, a support vector machine (SVM) with polynomial kernel function based nonlinear model multi-step-ahead controller is presented. A SVM based multi-step-ahead predictive model is established by black-box identification. And control law is obtained by numerical and optimization methods respectively. The effect of controller is demonstrated on a recognized benchmark problem. Simulation results show that multi-step-ahead predictive controller can be well applied to nonlinear system with good performance. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/11428862_166 | International Conference on Computational Science (3) |
Keywords | Field | DocType |
multi-step-ahead predictive controller,black-box identification,control law,good performance,simulation result,benchmark problem,optimization method,nonlinear model multi-step-ahead controller,multi-step-ahead predictive model,polynomial kernel,predictive control,prediction model,support vector machine,nonlinear system,kernel function | Control theory,Nonlinear system,Computer science,Support vector machine,Model predictive control,Model-based reasoning,Algorithm,Polynomial kernel,Paper machine,Kernel (statistics) | Conference |
Volume | ISSN | ISBN |
3516 | 0302-9743 | 3-540-26044-7 |
Citations | PageRank | References |
2 | 0.48 | 4 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Weimin Zhong | 1 | 79 | 14.18 |
| Daoying Pi | 2 | 50 | 9.21 |
| Youxian Sun | 3 | 2707 | 196.15 |