Morphology Of Uninhabited Vehicle Platform Complexity Using Information Theory-based Methods

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dc.contributor.authorKumar, Ajay
dc.date.accessioned2024-05-04T13:08:01Z
dc.date.available2024-05-04T13:08:01Z
dc.date.issued2022-11-24T17:34:14Z
dc.description.abstractComplexity of a dynamical system is defined as a function of the morphology and the information entropy of the system. Structure is an essential property of the dynamical systems, for it to perform functions, by enabling the flow of information in the system. Many times, the structure of the system is not completely known. In such a case, it can be estimated using elements of information theory (Shannon's information entropy, mutual information). The complexity of the system is bounded. The upper bound is uncertainty dominated and relationships between the elements of the system are fuzzy. On the other hand, at the lower bound, the system functions in a deterministic structure-dominated fashion. The robustness of the system is a measure of margins between the current complexity to the critical complexity of the system.
dc.identifier.citationKumar, Ajay (2022). Morphology Of Uninhabited Vehicle Platform Complexity Using Information Theory-based Methods. Cranfield Online Research Data (CORD). Poster. https://doi.org/10.17862/cranfield.rd.21618558.v1
dc.identifier.doi10.17862/cranfield.rd.21618558.v1
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/21350
dc.publisherCranfield University
dc.rightsCC BY 4.0
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectComplexity
dc.subjectInformation theory
dc.subjectDSDS22 Poster
dc.subjectDSDS22
dc.subjectUncertainty
dc.titleMorphology Of Uninhabited Vehicle Platform Complexity Using Information Theory-based Methods
dc.typePoster

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