Academic literature on the topic 'Systems-of-systems'
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Journal articles on the topic "Systems-of-systems"
J, Manikandan, and Akash M. "Regenerative Braking Systems (RBS) (Future of Braking Systems)." International Journal of Psychosocial Rehabilitation 23, no. 4 (July 20, 2019): 206–13. http://dx.doi.org/10.37200/ijpr/v23i4/pr190178.
Full textKolodchak, Оlha. "Problems of Designing a Control Systemfor Decision Making Systems of Cyberphysical Systems." Advances in Cyber-Physical Systems 3, no. 2 (November 10, 2018): 84–91. http://dx.doi.org/10.23939/acps2018.02.084.
Full textKaroń, Grzegorz, Ryszard Janecki, and Jerzy Mikulski. "Selected issues of systems engineering methodology in the design of transport systems." Transport technologies 2022, no. 2 (December 10, 2022): 85–101. http://dx.doi.org/10.23939/tt2022.02.085.
Full textOkcu, Hüseyin. "Operational Requirements of Unmanned Aircraft Systems Data Link and Communication Systems." Journal of Advances in Computer Networks 4, no. 1 (2016): 28–32. http://dx.doi.org/10.18178/jacn.2016.4.1.199.
Full textKnobloch, H. W. "Observability of nonlinear systems." Mathematica Bohemica 131, no. 4 (2006): 411–18. http://dx.doi.org/10.21136/mb.2006.133974.
Full textRezaei, Hamed, Behdad Karimi, and Seyed Jamalodin Hosseini. "Effect of Cloud Computing Systems in Terms of Service Quality of Knowledge Management Systems." Lecture Notes on Software Engineering 4, no. 1 (2016): 73–76. http://dx.doi.org/10.7763/lnse.2016.v4.226.
Full textLasota, Andrzej, and James A. Yorke. "Statistical periodicity of deterministic systems." Časopis pro pěstování matematiky 111, no. 1 (1986): 1–13. http://dx.doi.org/10.21136/cpm.1986.118256.
Full textD. Laureano, Rosário. "Cohomology of discrete dynamical systems." Journal of Mathematics and Technology 4, no. 2 (November 30, 2013): 44–48. http://dx.doi.org/10.7813/jmt.2013/4-2/7.
Full textLópez-Cózar, Ramón, Zoraida Callejas, David Griol, and José F. Quesada. "Review of spoken dialogue systems." Loquens 1, no. 2 (December 30, 2014): e012. http://dx.doi.org/10.3989/loquens.2014.012.
Full textRashid, Rameez, and Naseer Ganiee. "Robotic Monitoring of Power Systems." International Journal of Trend in Scientific Research and Development Volume-2, Issue-5 (August 31, 2018): 740–44. http://dx.doi.org/10.31142/ijtsrd16961.
Full textDissertations / Theses on the topic "Systems-of-systems"
Wang, Bo. "Analysis and implementation of time-delay systems and networked control systems." Thesis, University of South Wales, 2008. https://pure.southwales.ac.uk/en/studentthesis/analysis-and-implementation-of-timedelay-systems-and-networked-control-systems(f54e4378-db9b-443d-b505-88b4af5bb72a).html.
Full textKoo, Kevin C. K. (Kevin Cheng Keong). "Investigating Army systems and Systems of Systems for value robustness." Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/59253.
Full textCataloged from PDF version of thesis.
Includes bibliographical references (p. 243-250).
This thesis proposes a value robustness approach to architect defense systems and Systems of Systems (SoS). A value robust system or SoS has the ability to provide continued value to stakeholders by performing well to meet the mission intent under a variety of future contexts. The proposed approach encompasses three methods, namely "Needs to Architecture" framework, Multi-Attribute Tradespace Exploration (MATE) and Epoch-Era Analysis. The architecting approach will commence with the "Needs to Architecture" framework. Stakeholders' needs are elicited and design concepts will be formulated. MATE is then used to screen, evaluate and select suitable design concepts. Subsequently, Epoch-Era Analysis is used to guide system architects to anticipate changes across foreseeable epochs, which are time periods of fixed needs and context. The tradespace analysis is repeated across all these epochs. Pareto Trace and Filtered Outdegree metrics will be used to identify passive and active value robust designs. The proposed value robustness approach is demonstrated conceptually using an Intelligence, Surveillance and Reconnaissance (ISR) system and an Army SoS case study. The proposed value robustness approach offers a potential methodology to design and evaluate complex defense systems such that they continue to be valuable to stakeholders over time. The method is also complementary to existing architecting methods such as modeling and simulation. The end product of applying this approach is a cost efficient defense system, which might be passively or actively value robust. High switching and modification costs might be avoided even if changes to the active value robust defense system are required. Through the use of the Army SoS case study discussion, the author suggests that a value robust defense SoS architecture is one that encompasses the desired ilities of changeability and interoperability.
by Kevin C.K. Koo.
S.M.in System Design and Management
Shah, Nirav Bharat 1979. "Influence strategies for systems of systems." Thesis, Massachusetts Institute of Technology, 2013. http://hdl.handle.net/1721.1/79341.
Full textThis electronic version was submitted and approved by the author's academic department as part of an electronic thesis pilot project. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from department-submitted PDF version of thesis.
Includes bibliographical references (p. 141-149).
Distributed decision making has been identified as a source of managerial complexity for leaders of systems of systems (SoS). A new framework, AIR (Anticipation-Influence-Reaction), is proposed to capture the feedback relationships between the decisions made by constituents and those made by the managers of the SoS. AIR is then used to develop a five-member set of basic influences that can bring about changes in constituent behavior thus modifying the SoS. These influences, the 5 Is, are Incentives, Information, Infrastructure, Integration, and Institutions. AIR and the influences are demonstrated through qualitative application to real-world SoSs and quantitatively through simulation of an inter-modal freight transport network. It is found that cooperation between competing constituents, i.e., rail and truck carriers, can be quite fragile and sensitive to the SoS context. Careful, dynamic planning of influence strategies is needed to maintain SoS behavior in the face of constituents who are driven by self-interest and a limited, local perspective of the SoS.
by Nirav Bharat Shah.
Ph.D.
Wolf, Robert A. "Multiobjective collaborative optimization of systems of systems." Thesis, Cambridge, Massachusetts, Massachusetts Institute of Technology, 2005. http://hdl.handle.net/10945/37786.
Full textConcept studies for warship designs typically focus on ship performance characteristics by setting design goals for such things as speed, range, and cost. However, warships generally operate as part of a larger battle or strike group. Therefore, the designs should be evaluated as part of a system of multiple ship systems since designing each ship individually may result in underutilized and excess equipment and capability; in other words an inefficient design of the system of systems. This thesis examines the simultaneous design of several ships using the sea base concept as an example application of a network of ships working together. The number and characteristics of these ships determine the mission performance of the sea base. To properly design any of the sea base ships, the interrelationships must be included. A mission simulation is used to combine the performance characteristics of different ship designs into a singleperformance objective: the time to deliver a brigade size force to its assigned objectives. To enable the design of multiple ships, collaborative optimization, a multilevel optimization approach, was used to decompose the problem into individual ship design optimizations with system level interfaces controlled by a system of systems optimization algorithm. This allowed each ship to use techniques and algorithms best suited to reach an optimal design without impacting the design approaches used used by the other ships. The classical collaborative optimization approach was relaxed to include multiple objectives such as performance and cost, thus developing a range of solutions which represent the tradeoff between these objectives.
Wolf, Robert A. (Robert Allen). "Multiobjective collaborative optimization of systems of systems." Thesis, Massachusetts Institute of Technology, 2005. http://hdl.handle.net/1721.1/33596.
Full textIncludes bibliographical references (p. 85-88).
Concept studies for warship designs typically focus on ship performance characteristics by setting design goals for such things as speed, range, and cost. However, warships generally operate as part of a larger battle or strike group. Therefore, the designs should be evaluated as part of a system of multiple ship systems since designing each ship individually may result in underutilized and excess equipment and capability; in other words an inefficient design of the system of systems. This thesis examines the simultaneous design of several ships using the sea base concept as an example application of a network of ships working together. The number and characteristics of these ships determine the mission performance of the sea base. To properly design any of the sea base ships, the interrelationships must be included. A mission simulation is used to combine the performance characteristics of different ship designs into a single performance objective: the time to deliver a brigade size combat force to its assigned objectives.
(cont.) To enable the design of multiple ships, collaborative optimization, a multilevel optimization approach, was used to decompose the problem into individual ship design optimizations with system level interfaces controlled by a system of systems optimization algorithm. This allowed each ship to use techniques and algorithms best suited to reach an optimal design without impacting the design approaches used by the other ships. The classical collaborative optimization approach was relaxed to include multiple objectives such as performance and cost, thus developing a range of solutions which represent the tradeoff between these objectives.
by Robert A. Wolf.
S.M.
Nav.E.
Bashar, Abusaksaka Aolo Bashar Ali. "Properties of delay systems and diffusive systems." Thesis, University of Leeds, 2015. http://etheses.whiterose.ac.uk/10553/.
Full textJohnson, Philip. "Evaluating systems of systems against mission requirements." Thesis, Loughborough University, 2011. https://dspace.lboro.ac.uk/2134/9116.
Full textAbdalla, Gabriel. "Establishment of an ontology for Systems-of-Systems." Universidade de São Paulo, 2017. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-10112017-160820/.
Full textSistemas-de-Sistemas (do inglês, Systems-of-Systems ou simplesmente SoS) representam um campo emergente de pesquisa na Engenharia de Software. Em particular, SoS referem-se a sistemas que possibilitam a interoperabilidade de sistemas complexos, distribuídos, cooperando entre si para atingir uma missão comum. Diversos SoS têm sido desenvolvidos e utilizados, mas não há um consenso sobre os diversos termos e conceitos nesse campo, o que pode dificultar a comunicação entre os diferentes interessados envolvidos no desenvolvimento e evolução dos SoS, além da falta de padronização e entendimento comum entre pesquisadores e profissionais. Este projeto de Mestrado estabeleceu a OntoSoS, uma ontologia para formalizar termos e conceitos no campo de SoS, explicitando e permitindo o compartilhamento e reúso do conhecimento contido na ontologia. Como resultado, este projeto pretende contribuir para o campo de SoS, auxiliando também nas atividades relacionadas à Engenharia de SoS. É também esperado que essa ontologia possa servir como um material de ensino em cursos relacionados à Engenharia de SoS.
Hanic, Dzana, and Amer Surkovic. "An Attack Model of Autonomous Systems of Systems." Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-39810.
Full textRodríguez, Lina María Garcés. "A reference architecture of healthcare supportive home systems from a systems-of-systems perspective." Universidade de São Paulo, 2018. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-16102018-111654/.
Full textO envelhecimento da população é um fenômeno mundial e estima-se que no ano 2050, 2,1 bilhões de pessoas terão 60 anos ou mais. Sistemas de casas inteligentes para o cuidado da saúde (em inglês Healthcare Supportive Home - HSH systems) têm sido propostos para atender a alta demanda de serviços de monitoramento contínuo do número cada vez maior de pacientes que vivem sozinhos em suas residências. Considerando que o monitoramento do estado de saúde de pacientes crônicos requer a colaboração de equipes formadas por profissionais de várias especialidades, é fundamental que haja cooperação entre sistemas eletrônicos de saúde (por exemplo, sistemas de prontuário eletrônico ou sistemas de atenção de emergência), sendo eles externos ou internos à residência. Entretanto, as soluções de HSH existentes são comerciais, monolíticas, altamente acopladas e de alto custo. A maioria delas não considera a interoperabilidade entre sistemas distribuídos e exteriores ou internos à residência dos pacientes, como é o caso de robôs de companhia e monitores de atividade. Além disso, os sistemas de HSH muitas vezes são projetados com base em legislações locais, na estrutura do sistema de saúde (por exemplo, público, privado ou misto), nos planos de cuidados nacionais e nos recursos tecnológicos disponíveis; portanto, a reusabilidade desses sistemas em outros contextos é não é uma tarefa trivial. Em consequência, os sistemas de HSH existentes oferecem uma visão restrita do estado de saúde do paciente, são difíceis de evoluir acompanhando as mudanças no perfil de saúde do paciente, impossibilitando assim seu monitoramento contínuo e limitando o suporte para o paciente na autogestão de suas múltiplas condições crônicas. Visando contribuir na resolução dos desafios apresentados, esta tese estabelece a HomecARe, uma arquitetura de referência para apoiar o desenvolvimento de sistemas de HSH de qualidade. A HomecARe considera os sistemas de HSH como Sistemas-de-Sistemas (do inglês Systems-of-Systems - SoS) (ou seja, sistemas grandes e complexos formados por outros sistemas heterogêneos, distribuídos e que apresentam independência em seu gerenciamento e operação), que cumprem suas missões (por exemplo, melhoria da qualidade de vida do paciente) mediante o comportamento que emerge resultante da colaborações entre seus sistemas constituintes. Para estabelecer a HomecARe, foi adotado um processo sistemático que apoia a engenharia de arquiteturas de referência. Como resultado, a HomecARe contém o conhecimento do domínio, bem como soluções arquiteturais (por exemplo, padrões arquiteturais e táticas) que são descritas usando os pontos de vista conceitual, de missão e de qualidade. A HomecARe foi avaliada por meio da condução de um estudo de caso em que a arquitetura de referência foi instanciada para projetar o DiaManT@Home, um sistema de HSH que visa apoiar pacientes diagnosticados com diabetes mellitus na autogestão de sua doença. Os resultados obtidos evidenciaram que a HomecARe é uma arquitetura de referência viável para guiar o desenvolvimento de sistemas de HSH reusáveis, interoperáveis, confiáveis, seguros e adaptativos, trazendo importantes contribuições nas áreas de saúde eletrônica, arquitetura de software e arquiteturas de referência para SoS.
Books on the topic "Systems-of-systems"
Luzeaux, Dominique. Systems of systems. London: ISTE, 2010.
Find full textSystems of systems. London: ISTE, 2010.
Find full textLuzeaux, Dominique, and Jean-René Ruault, eds. Systems of Systems. Hoboken, NJ USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118557495.
Full textBondavalli, Andrea, Sara Bouchenak, and Hermann Kopetz, eds. Cyber-Physical Systems of Systems. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-47590-5.
Full textCantot, Pascal, and Dominique Luzeaux, eds. Simulation and Modeling of Systems of Systems. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118616727.
Full textSimulation and modeling of systems of systems. London: ISTE, 2011.
Find full textSucharev, Yuri I. Nonlinearity of colloid systems: Oxyhydrate systems. Stafa-Zuerich: Trans Tech Publications Ltd., 2008.
Find full textHatzopoulos, Alkis, and Ioannis Papaefstathiou. Heterogeneous Cyber Physical Systems of Systems. New York: River Publishers, 2022. http://dx.doi.org/10.1201/9781003338390.
Full textvan de Laar, Piërre, Jan Tretmans, and Michael Borth, eds. Situation Awareness with Systems of Systems. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-6230-9.
Full textLaar, Piërre van de. Situation Awareness with Systems of Systems. New York, NY: Springer New York, 2013.
Find full textBook chapters on the topic "Systems-of-systems"
Luzeaux, Dominique. "Systems of Systems." In Systems of Systems, 1–88. Hoboken, NJ USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118557495.ch1.
Full textEisner, Howard. "Systems of Systems." In Systems Engineering: Building Successful Systems, 100–103. Cham: Springer International Publishing, 2011. http://dx.doi.org/10.1007/978-3-031-79336-3_25.
Full textArbib, Michael, Meredith Banasiak, and Luis Othón Villegas-Solís. "Systems of Systems." In The Routledge Companion to Ecological Design Thinking, 64–74. New York: Routledge, 2022. http://dx.doi.org/10.4324/9781003183181-7.
Full textJohnson, Jeffrey. "Cities: Systems of Systems of Systems." In Complexity Theories of Cities Have Come of Age, 153–72. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24544-2_9.
Full textLane, Jo Ann, and Barry Boehm. "Systems of Systems Thinking." In Systems Engineering in Context, 553–64. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-00114-8_44.
Full textJorgensen, Paul C., and Byron DeVries. "Testing Systems of Systems." In Software Testing, 373–90. 5th ed. Boca Raton: Auerbach Publications, 2021. http://dx.doi.org/10.1201/9781003168447-19.
Full textMicouin, Patrice. "Emergence and Complexity of Systems of Systems." In Systems of Systems, 89–118. Hoboken, NJ USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118557495.ch2.
Full textVéret, Danièle. "Contractual Aspects of the Acquisition and Use of Systems of Systems." In Systems of Systems, 119–48. Hoboken, NJ USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118557495.ch3.
Full textRuault, Jean-René, and Jean-Pierre Meinadier. "Standardization in the Field of Systems and Systems of Systems Engineering." In Systems of Systems, 399–512. Hoboken, NJ USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118557495.ch12.
Full textLuzeaux, Dominique. "Methods and Tools for Systems of Systems Engineering." In Systems of Systems, 321–62. Hoboken, NJ USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118557495.ch10.
Full textConference papers on the topic "Systems-of-systems"
Crnkovic, Ivica. "Are ultra-large systems systems of systems?" In the 2nd international workshop. New York, New York, USA: ACM Press, 2008. http://dx.doi.org/10.1145/1370700.1370716.
Full textVierhauser, Michael, Rick Rabiser, Paul Grünbacher, Christian Danner, and Stefan Wallner. "Evolving systems of systems." In the First International Workshop. New York, New York, USA: ACM Press, 2013. http://dx.doi.org/10.1145/2489850.2489851.
Full textMcMurran, Ross, Francis McKinney, Nick Tudor, and William P. Milam. "Dependable Systems of Systems." In SAE 2006 World Congress & Exhibition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2006. http://dx.doi.org/10.4271/2006-01-0597.
Full textLewis, Grace, Ed Morris, Pat Place, Soumya Simanta, Dennis Smith, and Lutz Wrage. "Engineering Systems of Systems." In 2008 2nd Annual IEEE Systems Conference. IEEE, 2008. http://dx.doi.org/10.1109/systems.2008.4519005.
Full textRouff, Christopher, Michael Hinchey, James Rash, and Walter Truszkwoski. "Systems of Systems Verification." In Infotech@Aerospace. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2005. http://dx.doi.org/10.2514/6.2005-6988.
Full textSvenson, Pontus, Kerstin Eriksson, and Sara Janhall. "Resilience in systems of systems: electrified transport systems." In 2021 16th International Conference of System of Systems Engineering (SoSE). IEEE, 2021. http://dx.doi.org/10.1109/sose52739.2021.9497485.
Full textKopetz, Hermann. "Keynote: From embedded systems to systems of systems." In 2014 IEEE 17th International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing (ISORC). IEEE, 2014. http://dx.doi.org/10.1109/isorc.2014.58.
Full textCaple. "Systems design of Healthcare systems." In 22nd Digital Avionics Systems Conference Proceedings (Cat No 03CH37449. IEEE, 2003. http://dx.doi.org/10.1109/dasc.2003.1245886.
Full textSalvaneschi, Paolo. "Modeling of information systems as systems of systems through DSM." In the 4th International Workshop. New York, New York, USA: ACM Press, 2016. http://dx.doi.org/10.1145/2897829.2897832.
Full textDahmann, Judith, George Rebovich, JoAnn Lane, Ralph Lowry, and Kristen Baldwin. "An implementers' view of systems engineering for systems of systems." In 2011 IEEE International Systems Conference (SysCon). IEEE, 2011. http://dx.doi.org/10.1109/syscon.2011.5929039.
Full textReports on the topic "Systems-of-systems"
Firesmith, Donald. Profiling Systems Using the Defining Characteristics of Systems of Systems (SoS). Fort Belvoir, VA: Defense Technical Information Center, February 2010. http://dx.doi.org/10.21236/ada515876.
Full textLewis, Grace A. Lessons Learned from Service-Oriented Systems for Engineering Systems of Systems. Fort Belvoir, VA: Defense Technical Information Center, May 2010. http://dx.doi.org/10.21236/ada589146.
Full textSholander, Peter E., John L. Darby, James M. Phelan, Bryan Smith, Gregory Dane Wyss, Andrew Walter, G. Bruce Varnado, and Jennifer Mae Depoy. Critical infrastructure systems of systems assessment methodology. US: Sandia National Laboratories, October 2006. http://dx.doi.org/10.2172/899076.
Full textHumphrey, Watts. Systems of Systems: Scaling Up the Development Process. Fort Belvoir, VA: Defense Technical Information Center, August 2006. http://dx.doi.org/10.21236/ada454679.
Full textSmith, II, Phillips James D., and D. M. Interoperable Acquisition for Systems of Systems: The Challenges. Fort Belvoir, VA: Defense Technical Information Center, September 2006. http://dx.doi.org/10.21236/ada461385.
Full textDetry, Richard Joseph, John Michael Linebarger, Patrick D. Finley, S. Louise Maffitt, Robert John, Jr Glass, Walter Eugene Beyeler, and Arlo Leroy Ames. Complex Adaptive Systems of Systems (CASOS) engineering environment. Office of Scientific and Technical Information (OSTI), February 2012. http://dx.doi.org/10.2172/1038222.
Full textNutaro, James. Time managed virtualization for simulating systems of systems. Office of Scientific and Technical Information (OSTI), November 2021. http://dx.doi.org/10.2172/1833970.
Full textTucker, Conrad S., and John P. Eddy. Data-driven optimization of dynamic reconfigurable systems of systems. Office of Scientific and Technical Information (OSTI), November 2010. http://dx.doi.org/10.2172/1011663.
Full textFisher, David A. An Emergent Perspective on Interoperation in Systems of Systems. Fort Belvoir, VA: Defense Technical Information Center, March 2006. http://dx.doi.org/10.21236/ada449020.
Full textBerteau, David, and Guy Ben-Ari. Identifying Governance Best Practices in Systems-of-Systems Acquisition. Fort Belvoir, VA: Defense Technical Information Center, February 2014. http://dx.doi.org/10.21236/ada601872.
Full text