Discrete Learning Control with Application to Hydraulic Actuators

In this paper the robustness of a class of learning control algorithms to state disturbances, output noise, and errors in initial conditions is studied. We present a simple learning algorithm and exhibit, via a concise proof, bounds on the asymptotic trajectory errors for the learned input and the c...

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Bibliographic Details
Main Authors: Torben Ole Andersen, Henrik C. Pedersen, Michael R. Hansen
Format: Article
Published: Norwegian Society of Automatic Control 2015-10-01
Series:Modeling, Identification and Control
Online Access:http://www.mic-journal.no/PDF/2015/MIC-2015-4-2.pdf