DocumentCode :
350085
Title :
Controlling chaos in a chaotic neutron
Author :
Ren, Xiaolin ; Hu, Guangrui ; Tan, Zhenghua
Author_Institution :
Dept. of Electron. Eng., Shanghai Jiaotong Univ., China
Volume :
2
fYear :
1999
fDate :
1999
Firstpage :
652
Abstract :
In this paper, the problem of controlling chaos in a chaotic neuron is investigated. Specially, a simpler pulse feedback method is introduced, in which constant pulses are used to control chaos. The authors call this method the constant pulse feedback (CPF) method. The CPF method does not require any a priori knowledge of the dynamics of the system, such as the stable fixed points or unstable periodic orbits. The stability analysis is employed to study the nature of controlling chaos of the CPF method, and then the method is applied to control chaos in a neuron when it is in chaotic state. Both theoretical and numerical results show CPF method can stabilize the neuron state on desired fixed points or periodic orbits efficiently
Keywords :
chaos; control system analysis; control system synthesis; feedback; neurocontrollers; stability; chaos control; chaotic neutron; constant pulse feedback; fixed points; periodic orbits; pulse feedback method; stability analysis; Chaos; Control systems; Equations; Neurofeedback; Neurons; Nonlinear dynamical systems; Nonlinear systems; Olfactory; Orbits; Stability analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics Society, 1999. IECON '99 Proceedings. The 25th Annual Conference of the IEEE
Conference_Location :
San Jose, CA
Print_ISBN :
0-7803-5735-3
Type :
conf
DOI :
10.1109/IECON.1999.816473
Filename :
816473
Link To Document :
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