H/sub /spl infin// nonlinear filtering of discrete-time processes

This correspondence investigates the problem of H/sub /spl infin// estimation of a discrete-time nonlinear process. An estimator, which may be nonlinear, is introduced so that an H/sub /spl infin//-norm-like of what we call a generalized estimation error is guaranteed to be bounded by a prescribed level. Conditions for the existence of such an estimator, and formulae for its derivation, are obtained utilizing a discrete-time analog of the Hamilton-Jacobi inequality. An approximate filter based on linearization is developed. This filter relates to the extended Kalman filter in the same way that the linear H/sub /spl infin// filter relates to the Kalman filter.<
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