Application of systems engineering to complex systems and system of systems
dc.contributor.author | Sturdivant, Rick L., author | |
dc.contributor.author | Chong, Edwin K. P., advisor | |
dc.contributor.author | Sega, Ronald M., committee member | |
dc.contributor.author | Jayasumana, Anura P., committee member | |
dc.contributor.author | Atadero, Rebecca, committee member | |
dc.date.accessioned | 2017-06-09T15:41:07Z | |
dc.date.available | 2017-06-09T15:41:07Z | |
dc.date.issued | 2017 | |
dc.description.abstract | This dissertation is an investigation of system of systems (SoS). It begins with an analysis to define, with some rigor, the similarities and differences between complex systems and SoS. With this foundation, the baseline concept is development for several different types of systems and they are used as a practical approach to compare and contrast complex systems versus SoS. The method is to use a progression from simple to more complex systems. Specifically, a pico hydro electric power generation system, a hybrid renewable electric power generation system, a LEO satellites system, and Molniya orbit satellite system are investigated. In each of these examples, systems engineering methods are applied for the development of a baseline solution. While these examples are complex, they do not rise to the level of a SoS. In contrast, a multi-spectral drone detection system for protection of airports is investigated and a baseline concept for it is generated. The baseline is shown to meet the minimum requirements to be considered a SoS. The system combines multiple sensor types to distinguish drones as targets. The characteristics of the drone detection system which make it a SoS are discussed. Since emergence is considered by some to be a characteristic of a SoS, it is investigated. A solution to the problem of determining if system properties are emergent is presented and necessary and sufficient conditions for emergence are developed. Finally, this work concludes with a summary and suggestions for additional work. | |
dc.format.medium | born digital | |
dc.format.medium | doctoral dissertations | |
dc.identifier.uri | http://hdl.handle.net/10217/181348 | |
dc.language | English | |
dc.language.iso | eng | |
dc.publisher | Colorado State University. Libraries | |
dc.relation.ispartof | 2000-2019 | |
dc.rights | Copyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright. | |
dc.subject | drone detection | |
dc.subject | system of systems | |
dc.subject | complex systems | |
dc.subject | systems engineering | |
dc.subject | pico hydro electric power | |
dc.title | Application of systems engineering to complex systems and system of systems | |
dc.type | Text | |
dcterms.rights.dpla | This Item is protected by copyright and/or related rights (https://rightsstatements.org/vocab/InC/1.0/). You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s). | |
thesis.degree.discipline | Systems Engineering | |
thesis.degree.grantor | Colorado State University | |
thesis.degree.level | Doctoral | |
thesis.degree.name | Doctor of Philosophy (Ph.D.) |
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