Quadratic stability analysis and design of continuous-time fuzzy control systems
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) | 193-203 |
Journal / Publication | International Journal of Systems Science |
Volume | 27 |
Issue number | 2 |
Publication status | Published - 1996 |
Externally published | Yes |
Link(s)
Abstract
This paper presents a design method for fuzzy control systems. The method is based on a fuzzy state-space model A suitable piecewise smooth quadratic (PSQ) Lyapunov function is used to establish asymptotic stability of the closed-loop system. With the PSQ Lyapunov function a kind of global controller design method can be developed, and thus the disadvantage of using fixed P in the Lyapunov function can be overcome. Furthermore, a constructive algorithm is developed to obtain the stabilizing feedback control law. The controller design algorithm involves solving a set of certain algebraic Riccati equations. An example is given to illustrate the application of the method.
Citation Format(s)
Quadratic stability analysis and design of continuous-time fuzzy control systems. / Cao, S. G.; Rees, N. W.; Feng, G.
In: International Journal of Systems Science, Vol. 27, No. 2, 1996, p. 193-203.Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review