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Most prior work on control of discrete event systems assume that sensors are reliable so that they can be modeled as a deterministic (point-valued) observation mask. However in certain harsh environments such as nuclear systems, sensors may not be reliable. This results in a nondeterministic (set-valued) observation mask. In this paper, we allow the observation mask to be nondeterministic to capture...
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,...
Discrete event control is typically designed under the synchronous hypothesis that sensing and actuation incur zero delays, i.e., there exists zero delay between an event execution at a plant site and its observation at a controller site, and also between a control computation at a controller site and its enforcement at a plant site. An actual implementation, however, is asynchronous, introducing...
We study the supervisory control of dense-time discrete event systems (DESs) where controllers employ finite precision digital-clocks to observe the event occurrence times, relaxing the assumption of the prior works that time can be measured precisely. The passing of time, in our paper, is measured using the number of ticks generated by a digital-clock. We formalize the notion of a control policy...
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