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
Link To Document :
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