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Rate-monotonic scheduling (RMS) is one of the most important real-time scheduling used in the industry. There are a large number of results about RMS, especially on its schedulability. However, the theoretical results do not contain enough details to be used directly for an industrial RMS implementation. On the other hand, the correctness of such an implementation is of the crucial importance. In...
In this work, modeling and control of a time-varying nonlinear system is studied. The modeling is under the Gaussian process regression (GPR) framework, which is a data-driven approach. To address he time-varying phenomenon which commonly exists in the manufacturing processes, an online GPR algorithm is adopted. Next, model predictive control (MPC) is designed based on the obtained GPR model which...
Two efficient analysis methods for the accurate modeling of electrically large dielectric lens antennas are presented. The first method is based on Double Physical Optics (PO), which takes into account an additional set of reflections within the lens, whereas the conventional PO method only accounts for one set. The second method relies on a higher-order Body of Revolution Method of Moments and is...
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