Name
Title | ||
|---|---|---|
Adaptive T-S fuzzy-neural modeling and control for general MIMO unknown nonaffine nonlinear systems using projection update laws |
Abstract | ||
|---|---|---|
This paper describes a novel design of an on-line Takagi–Sugeno (T–S) fuzzy-neural controller for a class of general multiple input multiple output (MIMO) systems with unknown nonlinear functions and external disturbances. Instead of modeling the unknown systems directly, the T–S fuzzy-neural model approximates a virtual linearized system (VLS) of a real system with modeling errors and external disturbances. Compared with previous approaches, the main contribution of this paper is an investigation of more general MIMO unknown systems using on-line adaptive T–S fuzzy-neural controllers. In this paper, we also use projection update laws, which generalize the projection algorithm, to tune the adjustable parameters. This prevents parameter drift and ensures that the parameter matrix is bounded away from singularity. We prove that the closed-loop system controlled by the proposed controller is robust stable and the effect of all the modeling errors and external disturbances on the tracking error can be attenuated. Finally, two examples covering four cases are simulated in order to confirm the effectiveness and applicability of the proposed approach in this paper. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1016/j.automatica.2010.02.024 | Automatica |
Keywords | Field | DocType |
real system,general mimo unknown nonaffine,adaptive t-s fuzzy-neural modeling,t-s fuzzy-neural model,nonaffine nonlinear systems,modeling error,t–s fuzzy-neural model,fuzzy-neural controller,on-line adaptive t-s fuzzy-neural,nonlinear system,external disturbance,on-line modeling,projection update law,closed-loop system,unknown system,general mimo unknown system,unknown nonlinear function,linear system,model error | Control theory,Mathematical optimization,Nonlinear system,Dykstra's projection algorithm,Matrix (mathematics),Control theory,Singularity,MIMO,Law,Mathematics,Tracking error,Bounded function | Journal |
Volume | Issue | ISSN |
46 | 5 | Automatica |
Citations | PageRank | References |
30 | 1.56 | 21 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wei-Yen Wang | 1 | 995 | 87.40 |
| Yi-Hsing Chien | 2 | 89 | 8.33 |
| Yih-Guang Leu | 3 | 515 | 33.76 |
| Tsu-Tian Lee | 4 | 1635 | 148.07 |