DocumentCode
397838
Title
Solving linear and quadratic matrix equation by Hopfield neural networks
Author
Gao, Xieping ; Fu, Kaixin
Author_Institution
Inf. Eng. Coll., Xiangtan Univ., Hunan, China
Volume
3
fYear
2003
fDate
5-8 Oct. 2003
Firstpage
2651
Abstract
In this paper, a novel method is proposed to solve the Lyapunov and Riccati matrix equations by Hopfield neural networks. Experiments show that the proposed method can easily and stably found all real solutions in shorter computation time, and may be realized using hardware.
Keywords
Hopfield neural nets; Lyapunov matrix equations; Riccati equations; mathematics computing; matrix algebra; Hopfield neural networks; Lyapunov matrix equation; Riccati matrix equation; linear matrix equation; quadratic matrix equation; Computer networks; Control system synthesis; Differential equations; Educational institutions; Hardware; Hopfield neural networks; Neural networks; Nonlinear systems; Riccati equations; Symmetric matrices;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man and Cybernetics, 2003. IEEE International Conference on
ISSN
1062-922X
Print_ISBN
0-7803-7952-7
Type
conf
DOI
10.1109/ICSMC.2003.1244284
Filename
1244284
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