Automatica (Journal of IFAC)
H∞ inferential filtering, prediction and smoothing problems
Signal Processing
Indefinite-quadratic estimation and control: a unified approach to H2 and H∞ theories
Indefinite-quadratic estimation and control: a unified approach to H2 and H∞ theories
Fixed-order H2 and H∞ optimal deconvolution filter designs
Signal Processing
Discrete Linear Control: The Polynomial Equation Approach
Discrete Linear Control: The Polynomial Equation Approach
H∞ deconvolution filtering, prediction, and smoothing: aKrein space polynomial approach
IEEE Transactions on Signal Processing
Optimal and self-tuning deconvolution in time domain
IEEE Transactions on Signal Processing
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The paper is to investigate the white noise fixed-lag smoothing problem in an H"~ setting for continuous-time systems. Although H"2 white noise fixed-lag smoothing and filtering have been well studied, the white noise smoothing under H"~ index remains difficult since the latter is equivalent to a time delay problem. Actually, by introducing a Krein-space state space model, it will be shown that the H"~ white noise central smoother is an H"2 fixed-lag smoothing with delayed measurements. To overcome the time delay, the re-organized innovation analysis approach is adopted in this paper. The derived fixed-lag smoother is given in terms of two differential Riccati equations (DREs) with the same order as that of the original system.