Title :
Stabilizing fuzzy system models using linear controllers
Author :
Zak, Stanislaw H.
Author_Institution :
Sch. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN, USA
fDate :
4/1/1999 12:00:00 AM
Abstract :
A Lyapunov-based approach is used to derive a sufficiency condition for stabilizing a class of fuzzy system models using linear controllers. A design algorithm for constructing stabilizing linear controllers is given. The results obtained are illustrated with a design of a linear stabilizing controller for a system consisting of an inverted pendulum mounted on a cart. The controller is designed using a fuzzy model of the system and tested on the original system model
Keywords :
Lyapunov methods; control system synthesis; fuzzy control; fuzzy systems; linear systems; stability; Lyapunov-based approach; fuzzy system model stabilization; inverted pendulum; linear controller design; sufficiency condition; Algorithm design and analysis; Control system synthesis; Control systems; Fuzzy control; Fuzzy neural networks; Fuzzy sets; Fuzzy systems; Mathematical model; Stability analysis; System testing;
Journal_Title :
Fuzzy Systems, IEEE Transactions on
