Discrete Learning Control with Application to Hydraulic Actuators

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
Language:English
Published: Norwegian Society of Automatic Control 2015-10-01
Series:Modeling, Identification and Control
Subjects:
Discrete learning control
Hydraulic actuators
Online Access:http://www.mic-journal.no/PDF/2015/MIC-2015-4-2.pdf
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spelling doaj-7e2731f693d942f685b658caa9da82812020-11-24T21:15:25ZengNorwegian Society of Automatic ControlModeling, Identification and Control0332-73531890-13282015-10-0136421522410.4173/mic.2015.4.2Discrete Learning Control with Application to Hydraulic ActuatorsTorben Ole AndersenHenrik C. PedersenMichael R. HansenIn 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 corresponding state and output trajectories. Furthermore, 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.http://www.mic-journal.no/PDF/2015/MIC-2015-4-2.pdfDiscrete learning controlHydraulic actuators
collection DOAJ
language English
format Article
sources DOAJ
author Torben Ole Andersen
Henrik C. Pedersen
Michael R. Hansen
spellingShingle Torben Ole Andersen
Henrik C. Pedersen
Michael R. Hansen
Discrete Learning Control with Application to Hydraulic Actuators
Modeling, Identification and Control
Discrete learning control
Hydraulic actuators
author_facet Torben Ole Andersen
Henrik C. Pedersen
Michael R. Hansen
author_sort Torben Ole Andersen
title Discrete Learning Control with Application to Hydraulic Actuators
title_short Discrete Learning Control with Application to Hydraulic Actuators
title_full Discrete Learning Control with Application to Hydraulic Actuators
title_fullStr Discrete Learning Control with Application to Hydraulic Actuators
title_full_unstemmed Discrete Learning Control with Application to Hydraulic Actuators
title_sort discrete learning control with application to hydraulic actuators
publisher Norwegian Society of Automatic Control
series Modeling, Identification and Control
issn 0332-7353
1890-1328
publishDate 2015-10-01
description 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 corresponding state and output trajectories. Furthermore, 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.
topic Discrete learning control
Hydraulic actuators
url http://www.mic-journal.no/PDF/2015/MIC-2015-4-2.pdf
work_keys_str_mv AT torbenoleandersen discretelearningcontrolwithapplicationtohydraulicactuators
AT henrikcpedersen discretelearningcontrolwithapplicationtohydraulicactuators
AT michaelrhansen discretelearningcontrolwithapplicationtohydraulicactuators
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