Name
Title | ||
|---|---|---|
Adaptive Asymptotic Tracking of Nonlinear Systems Using Nonlinearly Parameterized First-Order Sugeno Fuzzy Approximator |
Abstract | ||
|---|---|---|
In this paper, an adaptive tracking control scheme is presented for a class of nonlinear systems using nonlinearly parameterized first-order Sugeno fuzzy approximator. The parameters in the first-order Sugeno consequents and Gaussian basis functions are assumed to be unknown. First, based on the parameterization of the exponential function, a new parameterization model of first-order Sugeno fuzzy system is developed. The new representation of unknown system function is constructed by exploiting the signal replace approach. Then, unknown fuzzy parameters and known functions with the tracking elements being arguments are collected, respectively, and some new parameters and useful functions are defined, respectively. Furthermore, adaptive controller is designed and analyzed. Global boundedness of the closed-loop system is established, and asymptotic tracking is achieved. Finally, the simulation results demonstrate the effectiveness of the proposed scheme. |
Year | DOI | Venue |
|---|---|---|
2018 | https://doi.org/10.1007/s40815-017-0416-9 | International Journal of Fuzzy Systems |
Keywords | Field | DocType |
Adaptive control,Sugeno fuzzy system,Global stability,Nonlinear parameterization,Uncertain nonlinear systems | Parameterized complexity,Control theory,Nonlinear system,Control theory,Fuzzy logic,Gaussian,Basis function,Adaptive control,Fuzzy control system,Mathematics | Journal |
Volume | Issue | ISSN |
20 | 4 | 1562-2479 |
Citations | PageRank | References |
0 | 0.34 | 16 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Maoli Wang | 1 | 0 | 0.34 |
| Zhengqiang Zhang | 2 | 416 | 33.11 |
| Qiangde Wang | 3 | 0 | 1.35 |
| hanyong shao | 4 | 411 | 26.79 |