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Thursday, February 7, 2019 at 4:30pm
Upson Hall, 206
ABSTRACT: Innovation in engineered systems means delivering systems with new or improved functionalities, at lower costs, and better reliability. Higher functionality or reliability, if achieved through a larger number of components and connections, can lead to higher complexity. In systems subject to development constraints such as those in terms of mass and volume, the tight packing of components can lead to unpredictable interactions, which in turn lower the predictability of the behavior of the system during operation. This means that the increase in complexity is correlated to an increase in risk, both in terms of likelihood of unfavorable events and their impact. The adoption of a complexity budget throughout the system development can be beneficial in selecting architectures that can minimize risk.
One possible way to measure the complexity of a system architecture, is to analyze its structure, the arrangement of components and interfaces, and their heterogeneity. In this research this is done using spectral complexity metrics, which are based on the set of eigenvalues of the graph. The inclusion of component and interface complexity values in the matrix representation of the system, and the application of the metrics to these weighted matrices is the main contribution of this research. This approach has been applied to engineered systems to understand the relationship between various metrics and features of complex systems such as robustness and attack tolerance, and validated through a series of experiments that shed light on the connection between complexity and integration time, and complexity and performance, respectively.
BIOGRAPHICAL SKETCH: Antonio Pugliese is an Assistant Professor at Embry-Riddle Aeronautical University, in Prescott, AZ. He earned his Ph.D. in Systems Engineering at Stevens Institute of Technology, in Hoboken, NJ, and received his B.Sc. and M.Sc. in Aerospace Engineering, and a postgraduate Master in Systems Engineering from the University of Naples Federico II, in Italy. His research is on system architectures and the connection between performance, development time, and system complexity.