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针对混沌参数调制( C P M) 的电力线通信( P L C) 中谐波引起的窄带干扰， 两阶段动态估计方法根据最小
相空间体积( MP S V) 准则估计模型参数， 计算量大。为此， 提出将未知参数合并到增广状态矩阵的联合卡尔曼滤
波方法， 避免了专门的参数估计过程， 在提高增益性能的同时有效降低了计算量。方法的性能通过对混沌电力
线通信下的单音干扰和多音干扰的有效抑制得到了验证。-For the chaotic parameter modulation (CPM) of th
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Kalman parameter estimator source code. Kalman is used a parameter estimator here. By using that algorithm one can estimate the expected value and variance of random variable.
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This paper proposes an exact (Kalman-like) observer for the
simultaneous state and parameter estimation in asynchronous
motors - including speed and resistant torque estimation -, as
well as a simulation study of its use under an estimate-based
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基于非线性扩展卡尔曼滤波的Matlab程序-The extended Kalman filter can not only estimate states of nonlinear dynamic systems from noisy measurements but also can be used to estimate parameters of a nonlinear system. A direct application of parameter estimation is to t
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This paper presents a simple and robust speed control scheme of Permanent Magnet Synchronous Motor (PMSM). It is to achieve
accurate control performance in the presence of load torque and plant parameter variation. A Kalman filter is used to estim
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This paper presents a simple and robust speed control scheme of Permanent Magnet Synchronous Motor (PMSM). It is to achieve
accurate control performance in the presence of load torque and plant parameter variation. A Kalman filter is used to estim
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