화학공학소재연구정보센터
IEEE Transactions on Automatic Control, Vol.38, No.12, 1738-1753, 1993
Model-Reference Adaptive-Control of Time-Varying and Stochastic-Systems
The adaptive control of general delay, linear time-varying systems is addressed. We devise a simple model reference adaptive control law which does not require a priori knowledge of the sign of the high frequency gain. This control law coupled with the parameter estimation equations allows a simple representation of the closed loop system. This greatly eases the stability and performance analysis, and has potential for generalization to adaptive pole placement, and other control laws suitable for nonminimum phase systems. For the Kalman filter parameter estimator coupled with this control law we obtain stability without persistence of excitation, and without knowledge of the sign of the high frequency gain. Performance results for the extended least squares algorithm are also described.