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Systems Engineering in Context

Proceedings of the 16th Annual Conference on Systems Engineering Research

William T. Scherer (Hrsg.), Peter A. Beling (Hrsg.), Cody H. Fleming (Hrsg.), Stephen Adams (Hrsg.), James H. Lambert (Hrsg.)

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Springer International Publishing img Link Publisher

Naturwissenschaften, Medizin, Informatik, Technik / Elektronik, Elektrotechnik, Nachrichtentechnik

Beschreibung

This volume chronicles the 16th Annual Conference on System Engineering Research (CSER) held on May 8-9, 2018 at the University of Virginia, Charlottesville, Virginia, USA. The CSER offers researchers in academia, industry, and government a common forum to present, discuss, and influence systems engineering research. It provides access to forward‐looking research from across the globe, by renowned academicians as well as perspectives from senior industry and government representatives. Co‐founded by the University of Southern California and Stevens Institute of Technology in 2003, CSER has become the preeminent event for researchers in systems engineering across the globe.

 Topics include though are not limited to the following:

Systems in context:

·         Formative methods: requirements

·         Integration, deployment, assurance

·         Human Factors

·         Safety and Security

Decisions/ Control & Design; Systems Modeling:

·         Optimization, Multiple Objectives, Synthesis

·         Risk and resiliency

·         Collaborative autonomy

·         Coordination and distributed decision-making

Prediction:

·         Prescriptive modeling; state estimation

·         Stochastic approximation, stochastic optimization and control

Integrative Data engineering:

·         Sensor Management

·         Design of Experiments

 

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Schlagwörter

Integrative Data engineering, Safety and Security of Systems, Systems Decisions, Human Factors and systems, Integration, deployment, assurance of systems, Design of Experiments in Systems, Systems Optimization, Risk and resiliency of Systems, Multiple Objectives in Systems, Systems Modeling, quality control, reliability, safety and risk, INCOSE, Stochastic approximation, Collaborative autonomy of Systems, stochastic optimization and control, Control and Design in Systems