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- W2950034304 abstract "A symbolic approach to decentralized set-valued state estimation and prediction for systems that admit a hybrid state machine representations is proposed. The decentralized computational scheme represents a conj unction of a finite number of distributed state machines, which are specified by an appropriate decomposition of the external signal space. It aims at a distribution of computational tasks into smaller ones, allocated to individual distributed state machines, leading to a potentially significant reduction in the overall space/time computational complexity. We show that, in general, such a scheme outerapproximates the state set estimates and predictions of the original monolithic state machine. By utilizing structural properties of the transition relation of the latter, in a next step, we propose constructive decomposition algorithms for a recovery of the exact state set outcomes." @default.
- W2950034304 created "2019-06-27" @default.
- W2950034304 creator A5076974853 @default.
- W2950034304 date "2013-02-27" @default.
- W2950034304 modified "2023-09-27" @default.
- W2950034304 title "Decentralized set-valued state estimation and prediction for hybrid systems: A symbolic approach" @default.
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- W2950034304 hasPublicationYear "2013" @default.
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