Aimed at the parameter estimation and model reduction problems of non-linear systems in noisy environment, a class of particle swami optimization (PSO) approach with hypothesis test is proposed, named PSOHT, which estimates parameters by using PSO operato
Aimed at the parameter estimation and model reduction problems of non-linear systems in noisy environment, a class of particle swami optimization (PSO) approach with hypothesis test is proposed, named PSOHT, which estimates parameters by using PSO operato
摘要针对噪声环境下的非线性系统参数估计和模型降阶问题，提出了一种带假设检验的微粒群优化算法(PSOHT)，以最小化平均平方误差为目标，结合统计意义下的评价和比较，通过微粒群操作进行参数估计。