Title :
Robust leaning control
Author :
Heinzinger, Greg ; Fenwick, Dan ; Paden, Brad ; Miyazaki, Fumio
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., California Univ., Berkeley, CA, USA
Abstract :
The robustness of a class of learning control algorithms to state disturbances, output noise, and errors in initial conditions is studied. A simple learning algorithm is presented, and bounds on the asymptotic trajectory errors for the learned input and the corresponding state and output trajectories are exhibited. These bounds are continuous functions of the bounds on the initial condition errors, state disturbance, and output noise, and the bounds are zero in the absence of these disturbances
Keywords :
adaptive control; learning systems; stability; adaptive control; asymptotic trajectory errors; initial condition errors; learning control algorithms; learning systems; output noise; robustness; state disturbances; Bonding; Convergence; Instruments; Laboratories; Learning systems; Mechanical systems; Robust control; Robustness; Signal analysis; Time varying systems;
Conference_Titel :
Decision and Control, 1989., Proceedings of the 28th IEEE Conference on
Conference_Location :
Tampa, FL
DOI :
10.1109/CDC.1989.70152
