Name
Title | ||
|---|---|---|
Direct adaptive neural dynamic surface control of uncertain nonlinear systems with input saturation |
Abstract | ||
|---|---|---|
In this paper, we present a new scheme to design direct adaptive neural network controller for uncertain nonlinear systems in the presence of input saturation. By incorporating dynamic surface control (DSC) technique into a neural network based adaptive control design framework, the control design is achieved. With this technique, the problem of "explosion of complexity" inherent in the conventional backstepping method is avoided, and the controller singularity problem is removed, and the effect of input saturation constrains is considered. In addition, it is proved that all the signals in the closed-loop system are semiglobal uniformly ultimately bounded. Finally, simulation studies are given to demonstrate the effectiveness of the proposed scheme. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1007/978-3-642-31362-2_45 | ISNN (2) |
Keywords | Field | DocType |
neural network,controller singularity problem,input saturation,adaptive control design framework,uncertain nonlinear system,dynamic surface control,adaptive neural dynamic surface,direct adaptive neural network,proposed scheme,control design,new scheme,closed-loop system,adaptive control | Control theory,Backstepping,Saturation (chemistry),Nonlinear system,Computer science,Control theory,Singularity,Adaptive control,Artificial neural network,Bounded function | Conference |
Citations | PageRank | References |
0 | 0.34 | 3 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Junfang Li | 1 | 46 | 2.40 |
| Tieshan Li | 2 | 1723 | 81.13 |
| Yongming Li | 3 | 4931 | 147.76 |
| Ning Wang | 4 | 333 | 18.88 |