3,793 research outputs found
Diagnosability of Fuzzy Discrete Event Systems
In order to more effectively cope with the real-world problems of vagueness,
{\it fuzzy discrete event systems} (FDESs) were proposed recently, and the
supervisory control theory of FDESs was developed. In view of the importance of
failure diagnosis, in this paper, we present an approach of the failure
diagnosis in the framework of FDESs. More specifically: (1) We formalize the
definition of diagnosability for FDESs, in which the observable set and failure
set of events are {\it fuzzy}, that is, each event has certain degree to be
observable and unobservable, and, also, each event may possess different
possibility of failure occurring. (2) Through the construction of
observability-based diagnosers of FDESs, we investigate its some basic
properties. In particular, we present a necessary and sufficient condition for
diagnosability of FDESs. (3) Some examples serving to illuminate the
applications of the diagnosability of FDESs are described. To conclude, some
related issues are raised for further consideration.Comment: 14 pages; revisions have been mad
Minimization of Sensor Activation in Discrete-Event Systems with Control Delays and Observation Delays
In discrete-event systems, to save sensor resources, the agent continuously
adjusts sensor activation decisions according to a sensor activation policy
based on the changing observations. However, new challenges arise for sensor
activations in networked discrete-event systems, where observation delays and
control delays exist between the sensor systems and the agent. In this paper, a
new framework for activating sensors in networked discrete-event systems is
established. In this framework, we construct a communication automaton that
explicitly expresses the interaction process between the agent and the sensor
systems over the observation channel and the control channel. Based on the
communication automaton, we can define dynamic observations of a communicated
string. To guarantee that a sensor activation policy is physically
implementable and insensitive to random control delays and observation delays,
we further introduce the definition of delay feasibility. We show that a delay
feasible sensor activation policy can be used to dynamically activate sensors
even if control delays and observation delays exist. A set of algorithms are
developed to minimize sensor activations in a transition-based domain while
ensuring a given specification condition is satisfied. A practical example is
provided to show the application of the developed sensor activation methods.
Finally, we briefly discuss how to extend the proposed framework to a
decentralized sensing architecture
A Survey on Multisensor Fusion and Consensus Filtering for Sensor Networks
Multisensor fusion and consensus filtering are two fascinating subjects in the research of sensor networks. In this survey, we will cover both classic results and recent advances developed in these two topics. First, we recall some important results in the development ofmultisensor fusion technology. Particularly, we pay great attention to the fusion with unknown correlations, which ubiquitously exist in most of distributed filtering problems. Next, we give a systematic review on several widely used consensus filtering approaches. Furthermore, some latest progress on multisensor fusion and consensus filtering is also presented. Finally,
conclusions are drawn and several potential future research directions are outlined.the Royal Society of the UK, the National Natural Science Foundation of China under Grants 61329301, 61374039, 61304010, 11301118, and 61573246, the Hujiang Foundation of China under Grants C14002
and D15009, the Alexander von Humboldt Foundation of Germany, and the Innovation Fund Project for Graduate Student of Shanghai under Grant JWCXSL140
Engineering Emergence: A Survey on Control in the World of Complex Networks
Complex networks make an enticing research topic that has been increasingly attracting researchers from control systems and various other domains over the last two decades. The aim of this paper was to survey the interest in control related to complex networks research over time since 2000 and to identify recent trends that may generate new research directions. The survey was performed for Web of Science, Scopus, and IEEEXplore publications related to complex networks. Based on our findings, we raised several questions and highlighted ongoing interests in the control of complex networks.publishedVersio
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