Title :
Model reference adaptive control of nonlinear system using feedback linearization
Author :
Lee, Jae-kwan ; Suh, Bo-hyeok ; Abe, Ken-ichi
Author_Institution :
Dept. of Electr. Eng., Tohoku Univ., Sendai, Japan
Abstract :
Develops an indirect adaptive controller using feedback linearization (IACFL). IACFL addresses the problem of designing a robust controller for a nonlinear system with observable nonlinear functions and state variables. IACFL consists of strictly positive real (STR)-Lyapunov synthesis algorithm, Input state feedback linearization (ISFL) algorithm, and model reference adaptive controller (MRAC). IACFL provides that, when estimated parameters of the nonlinear system are given in ISFL repeatedly, the output of nonlinear system can follow that of a stable reference linear model
Keywords :
feedback; linearisation techniques; model reference adaptive control systems; nonlinear control systems; parameter estimation; indirect adaptive controller; input state feedback linearization; model reference adaptive control; nonlinear system; observable nonlinear functions; robust controller; stable reference linear model; Adaptive control; Control system synthesis; Control systems; Linear feedback control systems; Nonlinear control systems; Nonlinear systems; Parameter estimation; Programmable control; Robust control; State feedback;
Conference_Titel :
SICE '95. Proceedings of the 34th SICE Annual Conference. International Session Papers
Conference_Location :
Hokkaido
Print_ISBN :
0-7803-2781-0
DOI :
10.1109/SICE.1995.526970
