Title :
On the P-type learning control
Author_Institution :
Dept. of Electr. Eng., Pittsburgh Univ., PA, USA
fDate :
11/1/1994 12:00:00 AM
Abstract :
Sufficient conditions for the robustness and convergence of P-type learning control algorithms for a class of time-varying, nonlinear systems are presented. The authors prove the uniform boundedness of the system state and the input control with respect to the existence of errors of initialization, measurement noises, and fluctuations of system dynamics. Furthermore, the system output converges uniformly to the desired one in absence of all disturbances. Finally, specialization of the results to linear systems are presented
Keywords :
convergence; learning systems; linear systems; nonlinear control systems; stability; time-varying systems; P-type learning control; convergence; initialization; input control; linear systems; measurement noises; robustness; sufficient conditions; system dynamics; time-varying nonlinear systems; uniform boundedness; Control systems; Convergence; Error correction; Noise measurement; Noise robustness; Nonlinear control systems; Nonlinear systems; Robust control; Sufficient conditions; Time varying systems;
Journal_Title :
Automatic Control, IEEE Transactions on
