DocumentCode
1746808
Title
Controller reduction using genetic algorithm
Author
Kamal, Hanan A. ; Abouelsoud, Ahmed A. ; Nadi, Essam
Author_Institution
Fac. of Eng., Cairo Univ., Egypt
Volume
1
fYear
2001
fDate
2001
Firstpage
335
Abstract
In this paper we introduce a classical method for controller reduction based on the optimal LQG-controller, and modify this method by using the genetic algorithm. The genetic algorithm is used to generate the optimum values of the weighting matrix R of the cost function to minimize the maximum real part of the closed-loop eigenvalues. The closed-loop system is built for both algorithms, and closed-loop, eigenvalues are calculated. Comparison between the two algorithms is discussed from the point of view of stability
Keywords
closed loop systems; control system synthesis; genetic algorithms; linear quadratic Gaussian control; reduced order systems; CCA algorithm; closed-loop eigenvalues; controller reduction; cost function; genetic algorithm; maximum real part; optimal LQG-controller; stability; weighting matrix; Control systems; Cost function; Eigenvalues and eigenfunctions; Genetic algorithms; Noise measurement; Optimal control; Q measurement; Radio control; Riccati equations; Stability;
fLanguage
English
Publisher
ieee
Conference_Titel
Radio Science Conference, 2001. NRSC 2001. Proceedings of the Eighteenth National
Conference_Location
Mansoura
Print_ISBN
977-5031-68-0
Type
conf
DOI
10.1109/NRSC.2001.929243
Filename
929243
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