【摘要】 为了解决非线性系统的时滞和参数的在线联合估计这一问题 ,提出了一种基于遗传算法的非线性系统时变时滞和参数的在线联合估计方法。将遗传算法的二进制编码改进为十进制编码。对于系统输入带有纯时滞的非线性系统 ,采用改进的遗传算法对系统时滞和参数进行在线联合估计。此方法能够有效地在线联合估计非线性系统的时变时滞和参数 ,并具有一定的抗噪声能力。仿真实验结果验证了此方法的有效性更多还原

【Abstract】 On line joint time delay and parameter estimation of nonlinear systems are analyzed using an on line estimation method based on the genetic algorithm. The most important contribution of this approach is that decimal coding is used in the genetic algorithm to improve the performance of the traditional binary coding. The proposed approach can efficiently estimate time varying time delays and parameters of nonlinear systems even with system noise. Simulation results demonstrated the effectiveness of the proposed approach.更多还原