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Nonlinear Coupled Hindmarsh-rose Neurons Ynchronous Transfer

Posted on:2013-01-27Degree:MasterType:Thesis
Country:ChinaCandidate:L P JiaFull Text:PDF
GTID:2230330374955909Subject:Condensed matter physics
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Abstract:In the physical, chemical and biological etc system can widely observedchaotic phenomenon. By using chaos dynamics method can study a lot of engineeringproblems. By using chaos dynamics method can study a lot of engineering problems,in chaos control is usually calm and eliminate the phenomenon of chaotic system, thesystem output control signal to any target cycle track or stable point. Linear couplingsynchronization is common synchronization method, in fact to real system do strictlylinear coupling is a certain difficulties, such as in a circuit using resistance to coupling,and a lot of resistance is nonlinear, so can use nonliner coupling synchronization ofchaotic systems to depict some of the synchronization phenomenon.Complicated nonlinear coupling. In view of the above problem, through thecalculation conditions lyapunov index to determine the critical parameters underlinear coupling synchronization value; Further studies the linear coupling criticalstrength parameters nonlinear coupling is around to synchronization modulation effect,got two dimensional phase space linear coupling and nonlinear coupling strengthcorresponding synchronization and to synchronous parameters interval, wide range ofnumerical calculation found, synchronous transient process length of this area ischoose influence. To us it in the life of the real problem has an important meaning.On the other hand, through to the HR coupled neural network numericalsimulation research, find links connected with the network and the radius of theprobability of synchronization error contact. When the neighbour radius constant,increasing connection network error probability can appear "moved" phenomenon.When connecting probability unchanged, the neighbor radius increased, the networkerror will appear ’moved forward "phenomenon...
Keywords/Search Tags:Hindmarsh, Rose model, Bidirectional coupled, small world network, Gaincoefficient, Synchroniation
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