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pro vyhledávání: '"Fortia V. Verges"'
Autor:
Fortia V. Verges, Marcelo D. Fragoso
Publikováno v:
2021 60th IEEE Conference on Decision and Control (CDC).
Autor:
Fortia V. Verges, Marcelo D. Fragoso
Publikováno v:
2021 IEEE Conference on Control Technology and Applications (CCTA).
Autor:
Fortia V. Verges, Marcelo D. Fragoso
Publikováno v:
CDC
This paper makes a further foray on the study of the filtering problem for the class of Markov jump linear systems (MJLSs). The authors shall be particularly interested in the filtering problem for the Markov jump parameter (the operation mode). Prev
Autor:
Fortia V. Verges, Marcelo D. Fragoso
Publikováno v:
CDC
In this paper we make further foray on the filtering problem for hidden Markov chain, as described in (2). Previous result in the literature on this problem has been obtained in [1], which has derived an optimal nonlinear filter for this problem. The
Autor:
Marcelo D. Fragoso, Fortia V. Verges
Publikováno v:
ECC
In this paper we make further foray on the filtering problem for Markov jump linear systems (MJLS) in the worst case scenario in which both, the state signal and the operation mode (Markov chain) are partially observables. Since the optimal nonlinear