Finite-dimensional filters for passive tracking of Markov jump linear systems
Finite-dimensional filters are derived for estimating Markov jump linear systems given noisy measurements of a Markov chain in both discrete and continuous time. Robust discretizations are described and simulations illustrate the results. Applications are found in passive tracking of maneuvering targets.
scientific article; zbMATH DE number 1325680