$H_{infty}$ filtering is proposed for a class of affine nonlinear discrete-ti'/> A Krein Space Approach to <formula formulatype='inline'> <tex Notation='TeX'>$H_{infty}$</tex></formula> Filtering of Discrete-Time Nonlinear Systems
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A Krein Space Approach to $H_{infty}$ Filtering of Discrete-Time Nonlinear Systems

机译:离散时间非线性系统 $ H_ {infty} $ 滤波的Kerin空间方法

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In this paper, a Krein space approach to finite horizon $H_{infty}$ filtering is proposed for a class of affine nonlinear discrete-time systems. It is shown that the problem of $H_{infty}$ nonlinear filtering can be converted into a minimum of an indefinite quadratic form. Hence, a relationship between $H_{infty}$ nonlinear filter in Hilbert space and nonlinear estimation in Krein space is established. By using first-order Taylor approximation and Krein space projection, a sufficient and necessary condition for the minimum is derived. Moreover, a feasible solution of the $H_{infty}$ nonlinear filter can be obtained by recursively computing Riccati recursions. Finally, a numerical example and one kind of integration filter are used to demonstrate the effectiveness of the proposed method.
机译:针对一类仿射非线性问题,提出了一种基于Kerin空间的有限地平线 $ H_ {infty} $ 滤波方法。离散时间系统。结果表明,非线性滤波的 $ H_ {infty} $ 问题可以转换为不定二次型的最小值。因此,建立了希尔伯特空间中的 $ H_ {infty} $ 非线性滤波器与Kerin空间中的非线性估计之间的关系。通过使用一阶泰勒逼近和Kerin空间投影,可以得出最小值的充分必要条件。此外,可以通过递归计算Riccati递归来获得 $ H_ {infty} $ 非线性滤波器的可行解决方案。最后,通过算例和一种积分滤波器来证明该方法的有效性。

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