Name
Abstract | ||
|---|---|---|
Based on fast online support vector regression (SVR) algorithm, reverse model of system model is constructed, and adaptive internal model controller is developed. First, SVR model and its online training algorithm are introduced. A kernel cache method is used to accelerate the online training algorithm, which makes it suitable for real-time control application. Then it is used in internal model control (IMC) for online constructing internal model and designing the internal model controller. Output errors of the system are used to control online SVR algorithm, which made the whole control system a closed-loop one. Last, the fast online SVM based adaptive internal model control was used to control a benchmark nonlinear system. Simulation results show that the controller has simple structure, good control performance and robustness. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/11760023_136 | ISNN (2) |
Keywords | Field | DocType |
online training algorithm,internal model controller,system model,internal model,svr model,online svr algorithm,adaptive internal model control,good control performance,reverse model,adaptive internal model controller,internal model control,support vector regression,control system,system modeling,real time control,nonlinear system | Control theory,Control theory,Nonlinear control,Computer science,Support vector machine,Algorithm,Control system,Adaptive algorithm,Adaptive control,Internal model,System model | Conference |
Volume | ISSN | ISBN |
3972 | 0302-9743 | 3-540-34437-3 |
Citations | PageRank | References |
1 | 0.43 | 5 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hui Wang | 1 | 177 | 43.68 |
| Daoying Pi | 2 | 50 | 9.21 |
| Youxian Sun | 3 | 2707 | 196.15 |
| Chi Xu | 4 | 3 | 1.48 |
| Sizhen Chu | 5 | 3 | 1.48 |