Title :
A Krein Space Approach to
Filtering of Discrete-Time Nonlinear Systems
Author :
Maiying Zhong ; Dingfei Guo ; Donghua Zhou
Author_Institution :
Dept. of Inertia Technol. & Navig. Instrum., Beihang Univ., Beijing, China
Abstract :
In this paper, a Krein space approach to finite horizon H∞ filtering is proposed for a class of affine nonlinear discrete-time systems. It is shown that the problem of H∞ nonlinear filtering can be converted into a minimum of an indefinite quadratic form. Hence, a relationship between H∞ 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∞ 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.
Keywords :
H∞ filters; Hilbert spaces; Riccati equations; approximation theory; discrete time filters; nonlinear systems; H∞ filtering; H∞ nonlinear filtering; Hilbert space; Krein space approach; Riccati recursions; discrete time nonlinear systems; finite horizon H∞ filtering; first-order Taylor approximation; indefinite quadratic form; nonlinear discrete-time systems; nonlinear estimation; Approximation methods; Covariance matrices; Estimation; Hilbert space; Nonlinear systems; Symmetric matrices; Technological innovation; $H_{infty}$nonlinear filter; Krein space; Riccati recursion; indefinite quadratic form; projection;
Journal_Title :
Circuits and Systems I: Regular Papers, IEEE Transactions on
DOI :
10.1109/TCSI.2014.2333352