Title :
New conditions for the convergence of H∞ filters and predictors
Author :
Bolzern, Paolo ; Maroni, Massimo
Author_Institution :
Dipt. di Elettronica e Inf., Politecnico di Milano, Italy
fDate :
8/1/1999 12:00:00 AM
Abstract :
The finite-horizon H∞ filtering and prediction problems in the discrete-time case admit solutions only if a suitable difference Riccati equation is solved by a matrix sequence satisfying “feasibility” conditions. In this work, sufficient conditions ensuring the existence of filters and predictors over an arbitrarily long time interval are derived. Moreover, it is shown that, under these conditions, finite horizon estimators tend to stable stationary ones as the time horizon increases
Keywords :
convergence; discrete time systems; filtering theory; prediction theory; state estimation; H∞ filters; H∞ predictors; feasibility conditions; finite horizon estimators; finite-horizon problems; matrix sequence; sufficient conditions; Attenuation; Convergence; Filtering; Filters; Noise measurement; Riccati equations; State estimation; Steady-state; Sufficient conditions; Vectors;
Journal_Title :
Automatic Control, IEEE Transactions on