【作者】 谢永芳； 张静； 黄灿； 阳春华；

【Author】 Xie Yongfang,Zhang Jing,Huang Can,Yang Chunhua Central South University Institute of Information Science and Engineering,Changsha 410083

【机构】 中南大学信息科学与工程学院；

【摘要】 针对复杂工业过程多重时滞辨识的难题,提出一种改进的遗传算法,采用精英保留、择优交叉、大变异等策略,将其应用于多重时滞辨识,获得多个时滞的最优估计。仿真结果表明基于改进GA的多重时滞辨识方法具有辨识结果更准确,收敛速度快的优点。更多还原

【Abstract】 An improved Genetic Algorithm(GA) is developed for solving the problem of multi-time delays identification in complex industrial processes.Such as Elitism、optimum selection crossover operate and cataclysmic mutation are adopted in the improved genetic algorthm,then applied to obtain an optimal multi-time delays identification of MIMO system.The simulation result shows that this improved GA’s result is more efficient in accuracy as well as in convergence.更多还原