Titlebook: Iterative Learning Control for Systems with Iteration-Varying Trial Lengths; Synthesis and Analys Dong Shen,Xuefang Li Book 2019 Springer N

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Two-Dimensional Techniques for Linear Discrete-Time Systemstrial lengths. The Kalman filtering technique is applied to derive the recursive learning gain matrix which guarantees the mean square convergence of the input error to zero. As a consequence, the tracking error will converge asymptotically in mean square sense. The learning gain matrix is derived b

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Dong Shen,Xuefang Lioses. We consider the case of multithreaded parallel programs that follows SPMD (Single Program Multiple Data) model. Java programs were considered for this proposal, but the metric could be easily adapted for any multithreading supporting imperative language. The metric is defined as a combination

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Dong Shen,Xuefang Li internal quality attributes like cohesion and complexity. Therefore, continuous focus on software metrics proposed to predict software reliability still required. In this context, an entropy-based suite of four metrics is proposed to monitor this attribute. The different metrics composing this suit