Title :
State derivative-free model reference adaptive control of distributed parameter systems
Author_Institution :
Dept. of Electron. & Telecommun., CICESE Res. Center, Mexico
Abstract :
Presents control laws for distributed parameter systems of parabolic and hyperbolic types which on one hand ensure robustness with respect to small dynamic uncertainties and disturbances, and on the other hand permit online plant parameter estimation. The novelty of the algorithms proposed is a) in the construction of a state derivative observer and b) in the inclusion of this observer into a model reference adaptive controller which thereby does not suffer from the online computation of the time and spatial derivatives of the measurement data and hence reduces sensitivity of the closed-loop system with respect to the measurement noise
Keywords :
closed loop systems; distributed parameter systems; model reference adaptive control systems; observers; parameter estimation; robust control; hyperbolic system; measurement noise; parabolic system; sensitivity; state derivative observer; state derivative-free model reference adaptive control; Adaptive control; Control systems; Distributed control; Distributed parameter systems; Noise measurement; Observers; Parameter estimation; Robust control; Time measurement; Uncertainty;
Conference_Titel :
Decision and Control, 1998. Proceedings of the 37th IEEE Conference on
Conference_Location :
Tampa, FL
Print_ISBN :
0-7803-4394-8
DOI :
10.1109/CDC.1998.761931
