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An important application of neural networks is the identification of the dynamics of a nonlinear system with no known closed-form model, especially a system whose dynamic behavior may change with time. When this is done quickly and robustly, the model may be used for closed-loop Nonlinear Model Predictive Control (NMPC). NMPC methods that rely on linearization about an equilibrium point or excessive...
Discusses the history, present state, and future of engineering programs at historically black colleges and universities (HBCUs). Includes an interview with Lee Keel, director of the Center for System Science Research Project (CSSR) at Tennessee State University (TSU).
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