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Industrial cyber-physical systems (ICPS) bridge the physical factory floor and the cyber computational space by leveraging the emerging techniques, such as wireless sensor networks for ubiquitous connection and perception, where sensors are deployed to monitor and collect industrial data according to different timeliness requirements. Priority-aware schemes(More)
Due to the limited generation, finite inertia, and distributed structure, microgrid suffers from large frequency and voltage deviation which can lead to system collapse. Thus, reliable load shedding method to keep frequency stable is required. Wireless network, benefiting from high flexibility and low deployment cost, is considered as the promising(More)
In this paper, we propose a reliable hybrid positioning methodology by combining the advantages of H<sub>&#x221E;</sub> filter and extreme learning machine (ELM), which addresses GPS outages and uncertain nonlinear drift of MEMS INS simultaneously. A novel parallel-dual-H<sub>&#x221E;</sub> filtering (PDHF) mechanism is proposed to prevent the(More)
In this paper, we propose a cost-effective localization solution for land vehicles, which can simultaneously adapt to the uncertain noise of inertial sensors and bridge Global Positioning System (GPS) outages. First, three Unscented Kalman filters (UKFs) with different noise covariances are introduced into the framework of Interacting Multiple Model (IMM)(More)
In this paper, we propose a novel positioning solution for land vehicles which is highly reliable and cost-efficient. The proposed positioning system fuses information from the MEMS-based reduced inertial sensor system (RISS) which consists of one vertical gyroscope and two horizontal accelerometers, low-cost GPS, and supplementary sensors and sources.(More)
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