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The task of decentralized decision-making involves interaction of a set of local decision-makers, each of which operates under limited sensing capabilities and is thus subjected to ambiguity during the process of decision-making. In our previous work, we made an observation that such ambiguities are of differing gradations and presented a framework for inferencing over various local control decisions...
In this paper, we extend our previous work by including the decisions for connection-scheduling as part of the automated synthesis of embedded networks for networked control systems. We propose an automated approach for the synthesis of a cost-effective and correct-by-construction communication network for embedded applications subject to a set of end-to-end communication constraints of latency, bandwidth,...
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,...
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