Name
Title | ||
|---|---|---|
An extended approach to controller design of continuous-time Takagi-Sugeno fuzzy model. |
Abstract | ||
|---|---|---|
This paper addresses the problem of designing the controller for a class of nonlinear systems by using the Takagi-Sugeno fuzzy models. Based on generalised fuzzy Lyapunov function and homogeneous polynomial techniques, a new method is proposed to locally stabilize the Takagi-Sugeno fuzzy system. The new method overcomes the drawbacks of the previous results and enlarges the design space. Finally, two examples are given to illustrate the effectiveness of the approach. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.3233/JIFS-171266 | JOURNAL OF INTELLIGENT & FUZZY SYSTEMS |
Keywords | Field | DocType |
Takagi-Sugeno fuzzy model,linear matrix inequalities (LMIs),generalised fuzzy Lyapunov function,homogeneous polynomial techniques,homogeneous polynomially non-quadratic control law (HPNQCL) | Fuzzy model,Controller design,Control theory,Artificial intelligence,Mathematics,Machine learning | Journal |
Volume | Issue | ISSN |
34 | 4 | 1064-1246 |
Citations | PageRank | References |
0 | 0.34 | 37 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Guolin Hu | 1 | 0 | 0.34 |
| Xiaodong Liu | 2 | 492 | 28.50 |
| Likui Wang | 3 | 153 | 11.05 |
| Hongxing Li | 4 | 0 | 0.34 |