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Filtering problem with nonlinear observations and drift terms equal to gradient vector field plus affine vector field

机译:带有非线性观测值且漂移项等于梯度向量场加仿射向量场的滤波问题

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For all known finite dimensional filters, one always needs the condition that the observation terms are degree one polynomial. On the other hand, in many practical examples, e.g. tracking problem, the observation terms may be nonlinear. In this paper, we solve filtering problems with nonlinear observation terms and drift term equal to gradient vector field plus affine vector field, which includes Kalman-Bucy filter, Benes filter and Yau filter as special cases.
机译:对于所有已知的有限维滤波器,总是需要这样的条件:观测项是一阶多项式。另一方面,在许多实际示例中,例如跟踪问题,观察项可能是非线性的。在本文中,我们用非线性观测项和漂移项等于梯度向量场加仿射向量场的方法解决了滤波问题,其中包括Kalman-Bucy滤波器,Benes滤波器和Yau滤波器作为特例。

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