Function approximation for learning control: A key sample based approach

B.J. de Kruif

Function approximation for learning control: A key sample based approach

B.J. de Kruif

Research output: Thesis › PhD Thesis - Research UT, graduation UT

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Abstract

Two function approximators are introduced in this thesis for use in learning control. These function approximators identify a relation between input and output based on samples. Two different, but closely related function approximators are introduced: the key sample machine and the recursive key sample machine.

Original language	English
Qualification	Doctor of Philosophy
Awarding Institution	University of Twente
Supervisors/Advisors	van Amerongen, J., Supervisor de Vries, Theodorus J.A., Co-Supervisor
Award date	18 Jun 2004
Place of Publication	Enschede
Publisher	University of Twente
Print ISBNs	90-365-2050-9
Publication status	Published - 18 Jun 2004

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title = "Function approximation for learning control: A key sample based approach",

abstract = "Two function approximators are introduced in this thesis for use in learning control. These function approximators identify a relation between input and output based on samples. Two different, but closely related function approximators are introduced: the key sample machine and the recursive key sample machine.",

author = "{de Kruif}, B.J.",

year = "2004",

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day = "18",

language = "English",

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T2 - A key sample based approach

AU - de Kruif, B.J.

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N2 - Two function approximators are introduced in this thesis for use in learning control. These function approximators identify a relation between input and output based on samples. Two different, but closely related function approximators are introduced: the key sample machine and the recursive key sample machine.

AB - Two function approximators are introduced in this thesis for use in learning control. These function approximators identify a relation between input and output based on samples. Two different, but closely related function approximators are introduced: the key sample machine and the recursive key sample machine.

M3 - PhD Thesis - Research UT, graduation UT

SN - 90-365-2050-9

PB - University of Twente

CY - Enschede

ER -

Function approximation for learning control: A key sample based approach

Abstract

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