2.195 Quantitative Design Strategies for Complex Systems
Examines the synthesis of large-scale and complex engineered systems, such as flow networks, complex electromechanical machines, and groups of autonomous agents. Application examples are drawn from power systems, autonomous robots, and other areas. Covers various complex systems and their representations; analysis techniques, including parametric sensitivity analysis via Monte Carlo and collocation approaches; stability principles for large interconnections of dynamic elements; and robust load-flow design problems in distribution systems. Inherent complexity of large design problems, and stochastic synthesis approaches as an alternative to design-by-analysis.
This class has 18.085 as a prerequisite.
2.195 will not be offered this semester. It will be instructed by F. Hover.
This class counts for a total of 12 credits. This is a graduate-level class.
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