• First, the fuzzy space of input variables is partitioned by means of on-line fuzzy competitive learning. Further, the parameters of fuzzy model are estimated by means of Kalman filtering algorithm.

    首先利用在线模糊竞争学习方法划分输入变量模糊输入空间,然后利用卡尔曼滤波算法估计模糊模型参数

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  • Experiments show that the new optimized partition algorithm can improve the parallel simulation performance compared with the ones partitioned by traditional graph partition algorithms.

    实验表明优化划分方法相对于传统划分算法能够有效地提高模拟性能

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  • The two interpolate algorithm based on intelligent motion controller can be partitioned into two times algorithm, viz. first interpolate in offline and second interpolate on real time.

    基于智能运动控制器算法分成运算采取离线粗插补实时精插补完成。

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  • A partitioned optimal filtering algorithm for multi-channel systems with multiplicative noise among observation channels is proposed.

    针对多通道观测环境下乘性噪声系统的最滤波问题,提出了1种状态最优滤波的分部算法

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  • A partitioned optimal filtering algorithm for multi-channel systems with multiplicative noise among observation channels is proposed.

    针对多通道观测环境下乘性噪声系统的最滤波问题,提出了1种状态最优滤波的分部算法

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