DocumentCode :
3106534
Title :
Hybrid Function Approximation: A Variational Approach
Author :
Delmotte, Florent ; Egerstedt, Magnus ; Verriest, Erik
Author_Institution :
School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA. florent@ece.gatech.edu
fYear :
2005
fDate :
12-15 Dec. 2005
Firstpage :
374
Lastpage :
379
Abstract :
In this paper we study the problem of representing trajectories through a concatenation of trajectories obtained from solving different differential equations. These trajectories are moreover allowed to undergo discontinuous jumps in order to make the approximation better. Our solution is based on a variational approach, in which both jump heights as well as switch times are taken as optimization parameters. The main application for this method is data compression, where the original trajectory is represented through mode sequences, switch times, and jump heights.
Keywords :
Approximation methods; Cost function; Data compression; Differential equations; Function approximation; Optimal control; Robots; Signal processing; Switches; Switching circuits;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 2005 and 2005 European Control Conference. CDC-ECC '05. 44th IEEE Conference on
Print_ISBN :
0-7803-9567-0
Type :
conf
DOI :
10.1109/CDC.2005.1582184
Filename :
1582184
Link To Document :
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