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Applied mathematics / Iterative learning control / Kalman filter / Algorithm / Trajectory / State space / Control theory / Cybernetics / Systems theory


Iterative Learning of Feed-Forward Corrections for High-Performance Tracking
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Document Date: 2014-03-03 08:55:11

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File Size: 320,40 KB

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City

Optimization / Algarve / /

Company

on Semiconductor / Robotic Systems / Cambridge University Press / Quadrocopters / IBM / /

Country

Switzerland / /

Currency

pence / /

/

Facility

Institute of Dynamic Systems / ETH Flying Machine Arena / /

IndustryTerm

control algorithms / linear periodic systems / neural network / feedback law / software tools / control systems / iterative learning algorithm / proposed iterative learning algorithm / constrained nonlinear stochastic systems / proposed learning algorithm / learning algorithm / update law / /

OperatingSystem

Windows 7 / /

Organization

Cambridge University / National Centre of Competence / Swiss National Science Foundation / U.S. Securities and Exchange Commission / Institute of Dynamic Systems and Control / /

Person

Fabian L. Mueller / Andrea Abstract / Angela P. Schoellig / /

Position

onboard controller / underlying trajectory-following controller / Feed-Forward / feed−forward / trajectory-following controller / feedback controller / /

PublishedMedium

IEEE Transactions on Semiconductor Manufacturing / Control Engineering / /

Technology

learning algorithm / iterative learning algorithm / RAM / C. Input Update The learning algorithm / neural network / control algorithms / proposed learning algorithm / proposed iterative learning algorithm / aero / simulation / operating systems / /

URL

www.flyingmachinearena.org / http /

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