Optimization of Parameters of Asymptotically Stable Systems
Author(s) -
Anna Guerman,
Ana Seabra,
Georgi Smirnov
Publication year - 2011
Publication title -
mathematical problems in engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.262
H-Index - 62
eISSN - 1026-7077
pISSN - 1024-123X
DOI - 10.1155/2011/526167
Subject(s) - mathematical optimization , stability theory , optimization problem , stability (learning theory) , computer science , mathematics , differential (mechanical device) , engineering , physics , quantum mechanics , nonlinear system , machine learning , aerospace engineering
This work deals with numerical methods of parameter optimization for asymptotically stable systems. We formulate a special mathematical programming problem that allows us to determine optimal parameters of a stabilizer. This problem involves solutions to a differential equation. We show how to chose the mesh in order to obtain discrete problem guaranteeing the necessary accuracy. The developed methodology is illustrated by an example concerning optimization of parameters for a satellite stabilization system
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