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Jose Rodrigo, Luis Sanchez de Leon, Jose L. Montañes and Jose M. Vega
A new gradient-like methodology has been developed for aeroengine diagnosis, determining the engine health condition, which is defined by the engine degradation from an undegraded state and uses measurements at various sensors distributed along the engin...
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Muhammad Hammad Musaddiq, Muhammad Shahzad Sarfraz, Numan Shafi, Rabia Maqsood, Awais Azam and Muhammad Ahmad
Quality education is necessary as it provides the basis for equality in society. It is also significantly important that educational institutes be focused on tracking and improving the academic performance of each student. Thus, it is important to identi...
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Kegang Zhao, Chengxia Wang, Guoquan Xiao, Haolin Li, Jie Ye and Yanwei Liu
This work is used for the unmanned driving of vehicles and other devices.
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Dennys Wallace Duncan Imbassahy, Henrique Costa Marques, Guilherme Conceição Rocha and Alberto Martinetti
The proposed hybrid method may achieve a better performance than a single algorithm in any fault classification problem.
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Mohsen Hajihassani, Shahrum Shah Abdullah, Panagiotis G. Asteris and Danial Jahed Armaghani
Underground spaces have become increasingly important in recent decades in metropolises. In this regard, the demand for the use of underground spaces and, consequently, the excavation of these spaces has increased significantly. Excavation of an undergro...
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Wieger Tiddens, Jan Braaksma and Tiedo Tinga
Many asset owners and maintainers have the ambition to better predict the future state of their equipment to make timely and better-informed maintenance decisions. Although many methods to support high-level maintenance policy selection are available, pr...
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Jianjun Wu, Yuxue Hu, Zhongqiang Huang, Junsong Li, Xiang Li and Ying Sha
Link prediction is a critical prerequisite and foundation task for social network security that involves predicting the potential relationship between nodes within a network or graph. Although the existing methods show promising performance, they often i...
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Roh Chan and Sangshin Kwak
Voltage source inverters operated by predictive control methods generally lead to a variable switching frequency, because predictive control methods generate switching operation based on an optimal voltage state selected at every sampling period. Varying...
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Robert J. Meier
Physicochemical properties of chemicals as referred to in this review include, for example, thermodynamic properties such as heat of formation, boiling point, toxicity of molecules and the fate of molecules whenever undergoing or accelerating (catalytic)...
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Juan Chen, Yuxuan Yu and Qi Guo
This paper proposes a model predictive control method based on dynamic multi-objective optimization algorithms (MPC_CPDMO-NSGA-II) for reducing freeway congestion and relieving environment impact simultaneously. A new dynamic multi-objective optimization...
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Neven Had?ic, Viktor Lo?ar, Tihomir Opetuk and Robert Keser
The digital twinning concept stands as a remarkable opportunity to integrate sophisticated mathematical models within the context of existing manufacturing systems. Such models may provide shipyard management with predictive analytics, improving the fina...
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Toni Varga, Tin Ben?ic, Vedrana Jerkovic ?til and Marinko Barukcic
A speed tracking control method for induction machine is shown in this paper. The method consists of outer speed control loop and inner current control loop. Model predictive current control method without the need for calculation of the weighing factors...
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Ali Barzegar, Oualid Doukhi and Deok-Jin Lee
In this study, the hardware and software design and implementation of an autonomous electric vehicle are addressed. We aimed to develop an autonomous electric vehicle for path tracking. Control and navigation algorithms are developed and implemented. The...
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Minghui Zhao, Xiaobin Xu, Hao Yang and Zhijie Pan
A new proportional integral derivative (PID) control method is proposed for the 3D laser scanning system converted from 2D Lidar with a pitching motion device. It combines the advantages of a fuzzy algorithm, a radial basis function (RBF) neural network ...
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Yuan Wang, Xiaodan Shi and Takashi Oguchi
Archaeological predictive modeling (APM) is an essential method for quantitatively assessing the probability of archaeological sites present in a region. It is a necessary tool for archaeological research and cultural heritage management. In particular, ...
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Yanpeng Hu, Jin Guo, Pei Ying, Guannan Zeng and Nanyu Chen
This paper explores a novel single tail tilt servomotor tri-rotor ducted vertical takeoff and landing unmanned aerial vehicle system (VTOL-UAV), and proposes a compound control method combining disturbance observer, model predictive control (MPC) and sli...
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Shiquan Zhao, Sizhe Wang, Ricardo Cajo, Weijie Ren and Bing Li
The marine boiler-turbine system is the core part for the steam-powered ships with complicated dynamics. To improve the power tracking performance and fulfill the requirement of high utilization rate of fossil energy, the control performance of the syste...
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Changbin Hu, Shanna Luo, Zhengxi Li, Xin Wang and Li Sun
According to the topological structure of wind-storage-load complementation microgrids, this paper proposes a method for energy coordinative optimization which focuses on improvement of the economic benefits of microgrids in the prediction framework. Fir...
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Pu Yang, Zhiqing Zhang, Huiling Geng, Bin Jiang and Xukai Hu
This paper introduces a novel intelligent sliding mode predictive fault-tolerant control method based on the Dynamic Information Exchange Coyote Optimization Algorithm (DIECOA), which is applied to a quad-rotor UAV system with multi-delay and sensor faul...
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Zhen Yang, Zhixiao Sun, Haiyin Piao, Yiyang Zhao, Deyun Zhou, Weiren Kong and Kai Zhang
With its superior performance, the unmanned combat air vehicle (UCAV) will gradually become an important combat force in the future beyond-visual-range (BVR) air combat. For the problem of UCAV using the BVR air-to-air missile (AAM) to intercept the high...
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