Robust and optimal control
H2 optimal linear robust sampled-data filtering design using polynomial approach
IEEE Transactions on Signal Processing
Sampled-data filtering with error covariance assignment
IEEE Transactions on Signal Processing
Brief On the sampled-data H∞ filtering problem
Automatica (Journal of IFAC)
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The problem of the optimal estimation of continuous processes by discrete measurements in the presence of time lag (delay) is considered. On the basis of the theory of parametric transfer functions, an optimal, periodically nonstationary filter is developed, which affords a minimum of the estimation error variance at any instant of time. The comparison is performed of the obtained solution with the optimal stationary filter, which ensures a minimum of the mean (by continuous time) error variance. It is shown that in the problem of estimation of the Markov process of the first order, a simpler stationary filter with the fixer of order zero is insignificantly inferior to the optimal filter.