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

Date

2022-11-24T17:34:14Z

Supervisor/s

Journal Title

Journal ISSN

Volume Title

Publisher

Cranfield University

Department

Type

Poster

ISSN

Format

Free to read from

Citation

Kumar, 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

Abstract

Complexity 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.

Description

Software Description

Software Language

Github

Keywords

Complexity, Information theory, DSDS22 Poster, DSDS22, Uncertainty

DOI

10.17862/cranfield.rd.21618558.v1

Rights

CC BY 4.0

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