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Real Time Estimation and Prediction Using Optimistic Simulation and Control Theory Te
Neo
Tue, 08 Jul 2008 04:45:35 +0000 Jeffrey S. Steinman, Ph.D. WarpIV Technologies, Inc and Timothy Busch, Ph.D., Air Force Research Labs, Rome Labs describe ongoing R&D in a wide variety of use cases that benefit from continuous real-time state estimation to predict future outcomes. This presentation is an excellent example of the future of complex event processing where the notion of using Kalman Filters for estimation and prediction illustrates*one of the operational challenges*for folks working in the CEP problem domain. Example use cases include air traffic control, road congestion, energy grid management, battlespace management, and economic forecasting. Source... |
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