【作者】 刘仙； 方媛； 孙呈霞； 高庆；

【Author】 Xian Liu;Yuan Fang;Chengxia Sun;Qing Gao;Institute of Electrical Engineering, Yanshan university;

【机构】 燕山大学电气工程学院；

【摘要】 基于复杂网络理论和神经群模型,本文构建出具有规则、小世界、无标度和随机拓扑的脑网络模型来模拟不同节律的脑电信号。针对脑网络模型的复杂性、非线性和随机性,设计基于模糊PID算法的牵制控制策略来实现脑节律的调制,并分析不同牵制控制策略的有效性。更多还原

【Abstract】 According to the complex network theory and the neural mass model, the brain network models with regular smallworld scale-free and random topologies are constructed to simulate electroencephalography(EEG) signals with different rhythms. Aiming at the complexity nonlinearity and randomness of the brain network models, the pinning-control strategy based on the fuzzy Proportion Integration Differentiation(PID) algorithm is designed to realize the modulation of the brain rhythms. The effectiveness of different pinning-control strategies is analyzed.更多还原