A method for unified optimization of systems and controllers

Ole Abildgaard

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Abstract

A unified method for solving control system optimization problems is suggested. All system matrices are allowed to be functions of the design variables. The method makes use of an implementation of a sequential quadratic programming algorithm (NLPQL) for solution of general constrained nonlinear programming problems. It is shown how to compute the gradients of the objective function and the constraint functions imposing eigenvalue constraints. In an example it is demonstrated how the method can solve a high-dimensional problem, where the initial condition covariance assumption is used to ensure constant initial mechanical energy in the beam during all iterations in the optimization
Original languageEnglish
Title of host publication29th IEEE Conference on Decision and Control
VolumeVolume 4
PublisherIEEE
Publication date1990
Pages2479-2480
DOIs
Publication statusPublished - 1990
Event29th IEEE Conference on Decision and Control - Honolulu, HI, United States
Duration: 5 Dec 19907 Dec 1990
Conference number: 29

Conference

Conference29th IEEE Conference on Decision and Control
Number29
CountryUnited States
CityHonolulu, HI
Period05/12/199007/12/1990

Bibliographical note

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