Name
Abstract | ||
|---|---|---|
The coupled nonlinear model of the cross beam simulation system (CBSS) was transformed into a special form. This form consists of linear terms and nonlinear terms. The nonlinear terms were treated as uncertaimties and compensated by neural network, thus the model was decoupled into three independent channels. The sliding mode control via neural network was used to design a controller for each channel. Stability analysis showed the asymptotical stability of the system under the control of above controller. The effectiveness of the sliding mode control via neural network is verified by the simulation. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/11427469_23 | ISNN (3) |
Keywords | Field | DocType |
mode control,nonlinear model,stability analysis,neural network,independent channel,cross beam simulation system,asymptotical stability,nonlinear term,linear term,special form,asymptotic stability,sliding mode control | Control theory,Nonlinear system,Computer science,Control theory,Beam (structure),Artificial neural network,Variable structure system,Variable structure control,Tracking error,Sliding mode control | Conference |
Volume | ISSN | ISBN |
3498 | 0302-9743 | 3-540-25914-7 |
Citations | PageRank | References |
0 | 0.34 | 2 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hongchao Zhao | 1 | 13 | 6.98 |
| Qingjiu Xu | 2 | 1 | 1.16 |
| Wenjin Gu | 3 | 13 | 5.63 |
| Tingxue Xu | 4 | 4 | 1.40 |