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Yan Zhang, Meng Liu, Wen Zhang, Wenchuan Sun, Xingwang Hu and Gang Kong
Model predictive control (MPC) is commonly used to compensate for modeling inaccuracies and measurement noise in voltage control problems. The length of the prediction horizon and control horizon of a MPC-based method has significant impact on the contro...
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Jian Gong, Weijie Chen and Ziyi Zhou
This paper proposes a distributed coordination scheme for connected vehicles, including automated vehicles (AVs) and manual vehicles (MVs), at signal-free intersections. The cooperation issue of vehicles at an intersection is formulated into a multi-obje...
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Fumin Zou, Chenxi Xia, Feng Guo, Xinjian Cai, Qiqin Cai, Guanghao Luo and Ting Ye
Due to the challenge of limited line of sight in the perception system of intelligent driving vehicles (cameras, radar, body sensors, etc.), which can only perceive threats within a limited range, potential threats outside the line of sight cannot be fed...
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Péter Dobra and János Jósvai
Nowadays, one of the important and indispensable conditions for the effectiveness and competitiveness of industrial companies is the high efficiency of manufacturing and assembly. These enterprises based on different methods and tools systematically moni...
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Ashish Sedai, Rabin Dhakal, Shishir Gautam, Anibesh Dhamala, Argenis Bilbao, Qin Wang, Adam Wigington and Suhas Pol
The Machine Learning/Deep Learning (ML/DL) forecasting model has helped stakeholders overcome uncertainties associated with renewable energy resources and time planning for probable near-term power fluctuations. Nevertheless, the effectiveness of long-te...
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Furong Jiang and Zhaoning Zhang
The civil aviation industry is experiencing significant growth in air traffic density within terminal areas, necessitating improved air traffic efficiency. In China?s pursuit of world-class airport clusters, operational complexities arise due to the co-l...
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Huajian Deng, Hao Wang, Yang Liu and Zhonghe Jin
Horizon-based optical navigation (OPNAV) is an attractive solution for deep space exploration missions, with strong autonomy and high accuracy. In some scenarios, especially those with large variations in spacecraft distance from celestial bodies, the vi...
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Sungan Yoon, Ahmad Jalal and Jeongho Cho
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Ying-Ying Jiang, Zhong-Xiu Sun, Ruo-Meng Wang, Hong-Ling Wang and Jia-Qing Wang
The Quaternary red soil widely distributed in China is an important arable land resource. A quantitative understanding of nutrient changes of Quaternary red soils under different land-use patterns is the necessary premise for effective regulation, manage...
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Manzoor Ahmed Hashmani and Muhammad Umair
Sea horizon line (SHL) detection plays a pivotal role in the computational performance improvement of computer applications for the maritime environment by dividing the image into sea and sky regions. This division isolates the region of interest and red...
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Yuhao Jing, Yang Wu, Jiwei Tang, Pingfang Zhou and Dengping Duan
The contribution of this paper is the proposal of a new receding horizon trajectory generation method for stratospheric airships? return phase. Since the energy consumption, wind field and path constraints are restrictions during the return phase of airs...
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Luping Sun, Ling Ding and Xiangchun Wang
The initial model plays an important role in seismic inversion. Generally, the initial model is constructed by lateral extrapolation of parameters under horizons constraints. However, without horizon data, initial modeling becomes a challenging task. Vel...
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Xing Wu, Jorge Angeles, Ting Zou, Chao Sun, Qi Sun and Longjun Wang
Applying computer vision to mobile robot navigation has been studied for over two decades. One of the most challenging problems for a vision-based mobile robot involves accurately and stably tracking a guide path in the robot limited field of view under ...
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Máté Siket, György Eigner, Dániel András Drexler, Imre Rudas and Levente Kovács
One challenging aspect of therapy optimization and application of control algorithms in the field of tumor growth modeling is the limited number of measurable physiological signals?state variables?and the knowledge of model parameters. A possible solutio...
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Fengzhen Sun, Shaojie Li, Shaohua Wang, Qingjun Liu and Lixin Zhou
Predicting the futures from previous spatiotemporal data remains a challenging topic. There have been many previous works on predictive learning. However, mainstream models suffer from huge memory usage or the gradient vanishing problem. Enlightened by t...
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Ruobing Xue, Xiangshen Ye and Weiping Wu
In this paper we study the optimization of the discrete-time stochastic linear-quadratic (LQ) control problem with conic control constraints on an infinite horizon, considering multiplicative noises. Stochastic control systems can be formulated as Markov...
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Chao Ji, Cynthia Juyne Beegle-Krause and James D. Englehardt
Submerged oil, oil in the water column (neither at the surface nor on the bottom), was found in the form of oil droplet layers in the mid depths between 900?1300 m in the Gulf of Mexico during and following the Deepwater Horizon oil spill. The subsurface...
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Mohammad Ebrahim Banihabib, Reihaneh Bandari and Mohammad Valipour
In multi-purpose reservoirs, to achieve optimal operation, sophisticated models are required to forecast reservoir inflow in both short- and long-horizon times with an acceptable accuracy, particularly for peak flows. In this study, an auto-regressive hy...
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Lars Robert Hole, Knut-Frode Dagestad, Johannes Röhrs, Cecilie Wettre, Vassiliki H. Kourafalou, Yannis Androulidakis, Heesook Kang, Matthieu Le Hénaff and Oscar Garcia-Pineda
The effect of river fronts on oil slick transport has been shown using high resolution forcing models and a fully fledged oil drift model, OpenOil. The model was used to simulate two periods of the 2010 DeepWater Horizon oil spill. Metocean forcing data ...
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Livia Vittori Antisari, Ruxandra Papp, Gilmo Vianello and Sara Marinari
The aim of this study was to determine the effect of a Douglas fir plantation along a stand chronosequence in the North Apennine (Italy) on soil carbon and nitrogen stocks, as well as on soil chemical and biochemical properties involved in the nutrients ...
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