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MapReduce is a popular choice for executing analytic workloads over large datasets on clusters of commodity machines. Due to the distributed nature of such systems, network resource bottlenecks can adversely affect performance, especially when multiple applications share the network. One of the significant barriers to reducing the occurrence and impact of such bottlenecks is the current separation...
In this paper, aiming at solving the synchronous problem of multi-finger dexterous hand, we introduced the iterative learning control (ILC) algorithm into the control of the system's synchronous coupling error to ensure the synchronization between finger joints on the premise that the system have good performance. In addition, we introduce a Lyapunov-like composite energy function to analyse the stability...
In large-scale rotary kiln applications, it is important to control the internal temperature of the kilns. However, there are many problems in designing such a control system due to long system's response delay, dead-zone and saturation of the actuator mechanisms, uncertainties in the system model and parameters, and process noise. To overcome these problems, this article has proposed a new type of...
The heterogeneous data problem (specify the problem),which is one of the main issues in industrial information integration is analyzed in this paper. According to the characteristics of OPC technology, a new design and implementation of heterogeneous data integration system have been put forwarding, it eliminates the isolated information island problem, and improves the agility in industry process...
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