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Knowledge of the current system state is crucial to many discrete event systems (DESs) applications such as control, diagnosis and prognosis. Due to limited sensing capabilities, the current state information is generally not available and needs to be estimated. In this paper, we propose a novel distributed state estimation algorithm for discrete event plants. According to the proposed algorithm,...
The stability and optimality of an adaptive minimum variance controller for stochastic systems was first established by Goodwin, Ramadge and Caines [1] for unit delay systems. Subsequently this was generalized by Goodwin, Sin and Saluja [2] to the general delay case, by using a direct approach and an interlaced multiple recursion. However, the interlaced algorithm is both practically cumbersome and...
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