Name
Abstract | ||
|---|---|---|
This paper presents switching model construction and stability analysis for a class of nonlinear systems. A switching fuzzy model newly developed in this paper is employed to represent the dynamics of a nonlinear system. A key feature of the switching fuzzy model construction is to find the so-called minimum distance sector by solving a nonlinear optimization problem. Next, we discuss the stability of a switching fuzzy model. To take advantage of the switching fuzzy model, we introduce a piecewise Lyapunov function that mirrors its structure. We show that the piecewise Lyapunov function approach provides less conservative results for the typical quadratic Lyapunov function approach. Illustrative examples demonstrate the utility of the switching model construction and the stability analysis. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.20965/jaciii.2006.p0003 | JOURNAL OF ADVANCED COMPUTATIONAL INTELLIGENCE AND INTELLIGENT INFORMATICS |
Keywords | Field | DocType |
switching fuzzy model, switching Lyapunov function, fuzzy model-based control, sector nonlinearity | Mathematical optimization,Nonlinear system,Computer science,Control engineering,Artificial intelligence,Machine learning | Journal |
Volume | Issue | ISSN |
10 | 1 | 1343-0130 |
Citations | PageRank | References |
4 | 0.46 | 9 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hiroshi Ohtake | 1 | 595 | 39.22 |
| Kazuo Tanaka | 2 | 121 | 14.60 |