DocumentCode
294935
Title
Convergence analysis of a class of networks of nonlinear coupled oscillators
Author
Justh, Eric ; Krishnaprasad, P.S.
Author_Institution
Inst. for Syst. Res., Maryland Univ., College Park, MD, USA
Volume
2
fYear
1995
fDate
13-15 Dec 1995
Firstpage
1284
Abstract
A network of nonlinear coupled oscillators is presented, and physical motivation is given for the network structure. Next, a rigorous proof of convergence using Lyapunov theory and LaSalle´s Invariance Principle is presented, which shows that each trajectory of the network converges to an equilibrium point. Two important generalizations of the network architecture for which the convergence properties are retained are then indicated. Finally, an example is presented to illustrate how such networks could be used, and to indicate how undesired stable equilibria might be dealt with
Keywords
Lyapunov methods; convergence; invariance; neural nets; LaSalle´s Invariance Principle; Lyapunov theory; convergence analysis; convergence properties; network architecture; nonlinear coupled oscillators; stable equilibria; Biological control systems; Biological systems; Control systems; Convergence; Couplings; Educational institutions; Mathematical analysis; Oscillators; Pattern recognition; Research initiatives;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 1995., Proceedings of the 34th IEEE Conference on
Conference_Location
New Orleans, LA
ISSN
0191-2216
Print_ISBN
0-7803-2685-7
Type
conf
DOI
10.1109/CDC.1995.480274
Filename
480274
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