Learning control for a class of nonlinear systems

1 December 1987

conference paper
Published by Institute of Electrical and Electronics Engineers (IEEE)

Vol. 26, 859-860
https://doi.org/10.1109/cdc.1987.272514

Abstract

We present and analyze a learning control algorithm for a class of nonlinear systems with linear input action. Sufficient conditions for the convergence of the trajectories to the desired trajectory are given. These conditions suggest a way to design a learning operator given a model of the system and provide a measure of how close the model should be to the actual system to guarantee convergence.

Keywords

NONLINEAR CONTROL SYSTEMS
CONTROL SYSTEMS
NONLINEAR SYSTEMS
CONVERGENCE
ALGORITHM DESIGN AND ANALYSIS
SUFFICIENT CONDITIONS
CONTROL SYSTEM ANALYSIS
HUMANS
ERROR CORRECTION
LINEAR SYSTEMS

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