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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
In order to solve the problem of online joint estimation of delay and parameters in nonlinear systems, a method of online joint estimation of time-varying delay and parameters in nonlinear systems based on genetic algorithm is proposed. The genetic algorithm binary coding improved decimal coding. For the nonlinear system with pure time delay input to the system, an improved genetic algorithm is used to estimate the system delay and parameters online jointly. This method can effectively combine the time-varying delay and parameters of nonlinear systems effectively and have certain anti-noise ability. Simulation results verify the effectiveness of this method