通过应用于非线性参数估计的仿真计算，表明了这种杂交算子的有效性及其相对于普通杂交算子的优点。

The operator was applied to simulating parameter estimation of nonlinear system, and the resulted showed its validity and its superiority over a general crossover operator.

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仿真和实际数据处理的结果表明，该方法在参数估计误差和标准差方面明显优于其它算法。

The results of simulated and real data procession show that the proposed method favorably compares to other ones as to the parameter estimation error and its standard deviation.

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仿真结果表明了该线性时变模型和参数估计算法的可行性，表明该自适应预测控制方法具有优良的控制品质。

Simulation results demonstrate the feasibility of the model and the parameter estimation algorithm, and show that the adaptive predictive control method has excellent control quality.

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