Name
Abstract | ||
|---|---|---|
Stable platform is a complicated nonlinear system. The common PID control can not meet the requirement of high precision and fast response. The adaptive inverse control was introduced in the system of stable platform. Based on it , the system utilize its character of open circle to improve system capability. In the model building to object model and object inverse model, the NARX network is used. The algorithm uses the least square method instead of least square(LMS) to identify the parameters and design the control. The simulation results show several advantages of this control strategy, such as sensitive response, non-overshoot, good anti-disturbance, and minimal stable error, and showed dynamic/static performance was superior to those of conventional PID method |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/CSSE.2008.669 | CSSE (4) |
Keywords | Field | DocType |
least square method,artificial neural networks,inverse problems,adaptive systems,wiener filter,adaptive control,algorithm design and analysis,model building,nonlinear system,inverse modeling,least squares approximation,object model,pid control,least square | Wiener filter,Algorithm design,Nonlinear autoregressive exogenous model,PID controller,Control theory,Adaptive system,Computer science,Object model,Inverse problem,Adaptive control | Conference |
Volume | Issue | Citations |
4 | null | 1 |
PageRank | References | Authors |
0.40 | 1 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Li Ying | 1 | 2 | 0.82 |
| Ge Wen-qi | 2 | 1 | 0.40 |
| Wang Shao-Bin | 3 | 1 | 0.40 |
| Xu Zheng-Ping | 4 | 1 | 0.40 |