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MANAGEMENT / CONTROL
OF COMPLEX SYSTEMS
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The more complex the system, the greater is the number of variables and data, and the more difficult it becomes to predict failure modes. It is a formidable challenge to overcome even for NASA and many large-scale business system integrators. There exists various techniques that can help to alleviate some of these challenges without the need for a priori detailed knowledge of systems. These apply machine-learning paradigms to the wealth of data generated by the system itself. GlobVision has a proven track record of using such paradigms in autonomous intelligent systems in conjunction with “more traditional” system control techniques to provide effective solutions to various market sectors..
For a brief overview of GlobVision’s capabilities in this field, see the following summaries of recent projects: Rail Shipment Routing with RailNet, Satellite Constellation Management, and Traffic Count Monitoring.
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