Name
Abstract | ||
|---|---|---|
Presents a design methodology for stabilization of a class of nonlinear systems. First, the authors represent a nonlinear plant with a Takagi-Sugeno fuzzy model. Then a model-based fuzzy controller design utilizing the concept of the so-called “parallel distributed compensation” is employed. The main idea of the controller design is to derive each control rule so as to compensate each rule of a fuzzy system. The design procedure is conceptually simple and natural. Moreover, the stability analysis and control design problems can be reduced to linear matrix inequality (LMI) problems. Therefore, they can be solved efficiently in practice by convex programming techniques for LMIs. The design methodology is illustrated by application to the problem of balancing and swing-up of an inverted pendulum on a cart |
Year | DOI | Venue |
|---|---|---|
1996 | 10.1109/91.481841 | IEEE T. Fuzzy Systems |
Keywords | Field | DocType |
takagi-sugeno fuzzy model,model-based fuzzy controller design,nonlinear plant,design procedure,fuzzy system,nonlinear system,design issue,control design problem,design methodology,control rule,controller design,control systems,nonlinear systems,linear matrix inequality,fuzzy control,stability,stability analysis,inverted pendulum,fuzzy systems,feedback control,convex programming | Inverted pendulum,Mathematical optimization,Nonlinear system,Control theory,Fuzzy logic,Design methods,Control system,Fuzzy control system,Convex optimization,Mathematics,Linear matrix inequality | Journal |
Volume | Issue | ISSN |
4 | 1 | 1063-6706 |
Citations | PageRank | References |
907 | 104.25 | 2 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hua O Wang | 1 | 2319 | 209.28 |
| K. Tanaka | 2 | 2967 | 377.99 |
| M. F. Griffin | 3 | 917 | 131.24 |