Adaptive Stochastic Resonance Based on Particle Swarm Optimization with Application in Parameters Optimization

摘要：

　　The parameters of traditional stochastic resonance (SR) are selected manually,which heavily depends on experience.Therefore,a new method of parameters optimization,that is the so-called adaptive SR based on particle swarm optimization (PSO),is introduced to adaptively select the optimal parameters of SR in this paper.The output signal-to-noise ratio (SNR) of SR is determined as the fitness function of PSO,and by utilizing the ability of global and concurrent search of PSO,the optimal structure parameters of bistable system is solved adaptively,and then the bistable system can obtain the best resonance state automatically.The simulation results show that the adaptive method,which proposed in this paper,is scientifically practical,and fast to detect the weak signal under strong background noise.

关键词： parameters optimization adaptive stochastic resonance particle swarm optimization

作者: Zhong-Hai Zhang Duo Wang Tai-Yong Wang

作者单位: Key Laboratory of Mechanism theory and Equipment Design of Ministry of Education, Tianjin University, Tianjin, China

会议类型: 国际会议

会议名称: 第16届机电一体化技术国际会议

会议地点: 天津

会议语种:英文

页码: 247-251

在线出版日期: 2012-10-16（万方平台首次上网日期，不代表论文的发表时间）