• The way of choosing the forgetting factor is stated so that the minimum upper bound of the parameter estimation error is obtained.

    阐述了最佳遗忘因子的选择方法,以获得最小参数估计上界。

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  • The proposed method only requires the flux linkage of the permanent magnet and is insensitive to parameter estimation error and variation.

    这种方法只需要确定永磁磁链。 且对参数估算的误差及变化不敏感。

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  • The adaptive compensation term of the optimal approximation error is adopted to minimize the influence of the modeling error and the parameter estimation error.

    并通过引入最优逼近误差的自适应补偿项来消除建模误差和参数估计误差的影响。

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  • 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.

    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。

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  • The convergent property and convergent rate of parameter estimation error are analyzed . Some sufficient conditions are given to guarantee the asymptotic normality of parameter estimation error.

    分析了离散时间线性系统模型参数估计误差的收敛性和收敛速度,对参数估计误差服从渐近正态分布的一些条件进行了讨论。

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  • By introducing nonlinear damping term, it is proved that all signals in the closed-loop system are globally stable, and the tracking error and the parameter (estimation) error converge to zero.

    通过引入非线性阻尼项,保证了闭环系统的所有信号都是全局稳定的,而且跟踪误差及参数估计误差均收敛于零。

    youdao

  • By introducing nonlinear damping term, it is proved that all signals in the closed-loop system are globally stable, and the tracking error and the parameter (estimation) error converge to zero.

    通过引入非线性阻尼项,保证了闭环系统的所有信号都是全局稳定的,而且跟踪误差及参数估计误差均收敛于零。

    youdao

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