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This paper presents active disturbance rejection control system for toggle-motor coupling servomechanism system. Genetic algorithm and mixed H2/Hinfin norm index are utilized to optimize the system parameters; Monte-Carlo method is applied to evaluate the robustness of the control system. Simulation results show that under the condition of external(More)
Some of the main ranking features of today's search engines reflect result popularity and are based on ranking models, such as PageRank, implicit feedback aggregation, and more. While such features yield satisfactory results for a wide range of queries, they aggravate the problem of search for ambiguous entities: Searching for a person yields satisfactory(More)
Extended Abstract In this demo we present novel functionalities for a user interface referred to as Interpretation Switcher, which has emerged from the previously developed SyncPlayer system [1]. This interface allows a user to select several recordings of the same piece of music, which have previously been synchronized [2]. Each of the recordings is(More)
Some of the main ranking features of today's search engines reflect result popularity and are based on ranking models, such as PageRank, implicit feedback aggregation, and more. While such features yield satisfactory results for a wide range of queries, they aggravate the problem of search for ambiguous entities: Searching for a person yields satisfactory(More)
This paper present robust Auto-MAP-Modify method for High-power Variable-Speed Governor of Diesel Engine by extended state observer. Firstly the uncertain between MAP parameter and real parameter is defined as additive-Perturbations. Secondly the original controller is reconstructed as a dynamic controller for sensitivity and noises, meanwhile a static(More)
In view of the exploding distribution of digitized audio material, computer-based methods have become indispensable for processing and analyzing the content of music signals. To evaluate analysis results obtained by automated methods, one requires manually generated high-quality labeled data and the feedback by music experts. In this paper, we introduce(More)
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