DocumentCode
2613522
Title
Hopf-like bifurcation in cellular neural networks
Author
Zou, Fan ; Nossek, Josef A.
Author_Institution
Inst. for Network Theory & Circuit Design, Tech. Univ. of Munich, Germany
fYear
1993
fDate
3-6 May 1993
Firstpage
2391
Abstract
Bifurcation phenomena in cellular neural networks are investigated. In a two-cell autonomous system, Hopf-like bifurcation has been found, at which the flow around the origin, an equilibrium point of the system, changes from asymptotically stable to periodic. As the parameter grows further, by reaching another bifurcation value, the generated limit cycle disappears and the network becomes convergent again
Keywords
asymptotic stability; bifurcation; cellular neural nets; limit cycles; Hopf-like bifurcation; bifurcation value; cellular neural networks; convergent network; equilibrium point; limit cycle; periodic flow; two-cell autonomous system; Bifurcation; Cellular neural networks; Chaos; Circuit synthesis; Equations; Intelligent networks; Limit-cycles; Nonlinear dynamical systems; Stability; Voltage;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 1993., ISCAS '93, 1993 IEEE International Symposium on
Conference_Location
Chicago, IL
Print_ISBN
0-7803-1281-3
Type
conf
DOI
10.1109/ISCAS.1993.394245
Filename
394245
Link To Document