A new concept of a synchronous detector for Giant Magneto-Impedance (GMI) sensors is presented. This concept combines a lock-in amplifier, with outstanding capabilities, high speed and a feedback approach that ensures...
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This paper focuses on the coordinated tracking control scheme of dual-manipulator based on friction compensation. First, a new dual-manipulator model with flexible joints and friction is constructed;Second, a new adap...
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This paper investigates the problem of finite-time H∞ state estimation for discrete-time stochastic switched genetic regulatory networks (GRNs) with time-varying delays and exogenous disturbances. A new discrete time...
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This study employed equivalent-input-disturbance (EID) approach to devise a control system for the rotor-side converter (RSC) of doubly fed induction generator (DFIG). It effectively suppresses the magnitude and/or fr...
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Image retrieval is a hot research topic in the field of computer vision image processing, and the user queries the image database for similar images and produces a list of recommendations. The paper firstly sets forth...
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With the outbreak of environmental problems and energy crisis, human beings are exploring new energy sources more and more deeply. As the installed capacity of energy storage devices increases and the coverage of dist...
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Real-time strategy (RTS) games have become one of the hotspots in the field of artificial intelligence research due to the large search space, long-term planning, and real-time constraint. In view of the fact that mos...
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This paper concers the H∞ control for singular systems with time-varying delay. Firstly, an augmented Lyapunov-Krasovskii functional (ALKF) is constructed by adding some integral terms which are dependent on the sing...
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This paper investigates the stability of linear systems with a time-varying delay. We propose a new approach to construct Lyapunuv-Krasovskii functional (LKF). Compared with other traditional approach, the proposed on...
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This paper focuses on extracting effective vitrinite reflectance features, and selecting the most important features to predict coke quality. Feature extraction method based on Gaussian model is proposed, which can ex...
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This paper focuses on extracting effective vitrinite reflectance features, and selecting the most important features to predict coke quality. Feature extraction method based on Gaussian model is proposed, which can extract vitrinite reflectance features, the vitrinite reflectance features and traditional features are fused together to excavate the relationship between coal and coke quality. Then Xgboost is used as a new feature selection method to measure features importance and remove the redundant features. Finally, high correlation features are selected as input variables to predict coke quality, which can enhance prediction performance and stability. Experimental results show that the proposal outperforms prediction model based on traditional indicators.
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