Large scale Complex Systems and Systems of Systems Engineering: Case Studies

2013 ◽  
Keyword(s):  
Complex Systems ◽  
Case Studies ◽  
Systems Engineering ◽  
Large Scale ◽  
Systems Of Systems

Large-Scale System Analysis Under Uncertainty

2022 ◽  
Author(s):  
Alejandro D. Domínguez-García
Keyword(s):  
Power Systems ◽  
Case Studies ◽  
Systems Engineering ◽  
Large Scale ◽  
System Analysis ◽  
Engineering Application ◽  
Bulk Power ◽  
Engineered Systems ◽  
Power Application ◽  
The Impact

Discover a comprehensive set of tools and techniques for analyzing the impact of uncertainty on large-scale engineered systems. Providing accessible yet rigorous coverage, it showcases the theory through detailed case studies drawn from electric power application problems, including the impact of integration of renewable-based power generation in bulk power systems, the impact of corrupted measurement and communication devices in microgrid closed-loop controls, and the impact of components failures on the reliability of power supply systems. The case studies also serve as a guide on how to tackle similar problems that appear in other engineering application domains, including automotive and aerospace engineering. This is essential reading for academic researchers and graduate students in power systems engineering, and dynamic systems and control engineering.

scholarly journals MBSE with/out Simulation: State of the Art and Way Forward

Systems ◽  
2018 ◽  
Vol 6 (4) ◽  
pp. 40 ◽  
Author(s):  
Bernard Zeigler ◽  
Saurabh Mittal ◽  
Mamadou Traore
Keyword(s):  
Complex Systems ◽  
Systems Engineering ◽  
Complex Adaptive Systems ◽  
Adaptive Systems ◽  
Engineering Application ◽  
Systems Of Systems ◽  
Integrated Simulation ◽  
Model Based ◽  
Complex Adaptive ◽  
Emergency Ambulance

The limitations of model-based support for engineering complex systems include limited capability to develop multifaceted models as well as their analysis with robust reliable simulation engines. Lack of such Modeling and Simulation (M&S) infrastructure leads to knowledge gaps in engineering such complex systems and these gaps appear as epistemological emergent behaviors. In response, an initiative is underway to bring Model-Based Systems Engineering (MBSE) closer together with model-based simulation developments. M&S represents a core capability and is needed to address today’s complex, adaptive, systems of systems engineering challenges. This paper considers the problems raised by MBSE taken as a modeling activity without the support of full strength integrated simulation capability and the potential for, and possible forms of, closer integration between the two streams. An example of a system engineering application, an unmanned vehicle fleet providing emergency ambulance service, is examined as an application of the kind of multifaceted M&S methodology required to effectively deal with such systems.

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