摘要
基于遗传算法,提出了一种辨识Hammerstein模型的方法,该方法能够克服有色观测噪声的污染,获得非线性静态环节参数和线性动态环节参数的无偏估计,并与Hammerstein模型的MSLS辨识方法进行了比较,仿真结果说明了该方法的有效性。
A method for the identification of Hammerstein model based on genetic algorithm is proposed. Us-ing the method, unbiased parameter estimates of the linear dynamics and the memoryless nonlinearity can be obtained when the output is corrupted by random noise uncorrelated with the input signal. The genetic algo-rithm is compared with a multistage least squares. Simulation results show that the method is very efficient.
出处
《控制与决策》
EI
CSCD
北大核心
1997年第3期203-207,共5页
Control and Decision
基金
辽宁省自然科学基金
大连市青年基金
