Name
Title | ||
|---|---|---|
Adaptive Fuzzy Finite-Time Control for a Class of Stochastic Nonlinear Systems with Input Saturation |
Abstract | ||
|---|---|---|
This paper considers the adaptive fuzzy finite-time tracking control for a class of uncertain stochastic nonlinear non-strict feedback systems with input saturation. An obvious difficulty, which has not been dealt with so far, is the simultaneous handling of input saturation and the implementation of finite-time stability in the stabilization of stochastic nonlinear non-strict feedback systems. An auxiliary system is introduced to counteract the influence of input saturation, and a novel stability criterion is used to achieve practical finite-time stable in mean square. Uncertain nonlinearity is approximated by fuzzy logic system, which eliminates the constraint of linear growth condition. In the end, a simulation example is given to prove the feasibility of this method. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1007/s40815-021-01107-9 | INTERNATIONAL JOURNAL OF FUZZY SYSTEMS |
Keywords | DocType | Volume |
Adaptive fuzzy control, Finite-time stabilization, Input saturation, Stochastic nonlinear systems | Journal | 24 |
Issue | ISSN | Citations |
1 | 1562-2479 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wenjun Sun | 1 | 0 | 0.34 |
| Mengmeng Gao | 2 | 0 | 0.34 |
| Junsheng Zhao | 3 | 0 | 0.34 |