H∞ control of nonlinear continuous-time systems based on dynamical fuzzy models
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
Author(s)
Detail(s)
| Original language | English |
|---|---|
| Pages (from-to) | 821-830 |
| Journal / Publication | International Journal of Systems Science |
| Volume | 27 |
| Issue number | 9 |
| Publication status | Published - 1996 |
| Externally published | Yes |
Link(s)
Abstract
This paper presents a solution of the H∞ control problem for a class of continuous-time nonlinear systems. The method is based on a fuzzy dynamical model of the nonlinear system. A suitable piecewise differentiate quadratic (PDQ) Lyapunov function is used to establish asymptotic stability of the closed-loop system. Furthermore, a constructive algorithm is developed to obtain the stabilizing feedback control law. The controller design algorithm involves solving a set of suitable algebraic Riccati equations. An example is given to illustrate the application of the method.
Citation Format(s)
H∞ control of nonlinear continuous-time systems based on dynamical fuzzy models. / Cao, S. G.; Rees, N. W.; Feng, G.
In: International Journal of Systems Science, Vol. 27, No. 9, 1996, p. 821-830.
In: International Journal of Systems Science, Vol. 27, No. 9, 1996, p. 821-830.
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
