Name
Title | ||
|---|---|---|
Adaptive NN dynamic surface control for a class of uncertain non-affine pure-feedback systems with unknown time-delay |
Abstract | ||
|---|---|---|
Adaptive neural network (NN) dynamic surface control (DSC) is developed for a class of non-affine pure-feedback systems with unknown time-delay. The problems of \"explosion of complexity\" and circular construction of the practical controller in the traditional backstepping algorithm are avoided by using this controller design method. For removing the requirements on the sign of the derivative of function fi, Nussbaum control gain technique is used in control design procedure. The effects of unknown time-delays are eliminated by using appropriate Lyapunov-Krasovskii functionals. Proposed control scheme guarantees that all the signals in the closed-loop system are semi-globally uniformly ultimately bounded. Two simulation examples are presented to demonstrate the method. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1007/s11633-015-0924-8 | International Journal of Automation and Computing |
Keywords | DocType | Volume |
Nonaffine pure-feedback systems, dynamic surface control (DSC), time-delay, neural network, backstepping | Journal | 13 |
Issue | ISSN | Citations |
3 | 1476-8186 | 1 |
PageRank | References | Authors |
0.37 | 5 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiao-Qiang Li | 1 | 1 | 0.37 |
| Dan Wang | 2 | 714 | 38.64 |
| Zhumu Fu | 3 | 65 | 11.89 |