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Feilong Ding, Cheng Chi, Yu Li and Haining Huang
In passive sonars, distance and depth estimation of underwater targets is often limited by the accuracy of time delay estimations. The estimation accuracy of the existing methods of time delay estimation is limited by the uniform discrete grid (signal sa...
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Yassine Kali, Magno Ayala, Jorge Rodas, Maarouf Saad, Jesus Doval-Gandoy, Raul Gregor and Khalid Benjelloun
This paper proposes a robust nonlinear current controller that deals with the problem of the stator current control of a six-phase induction motor drive. The current control is performed by using a state-space representation of the system, explicitly con...
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Anas Mahmoud Almanofi,Adnan Malki,Ali Kazem
Pág. 36 - 43
In a passive radar system, localizing a target in Cartesian space is achieved by using one of the following bistatic geometries: multiple non-cooperative transmitters with one receiver, one non-cooperative transmitter with multiple receivers, or one non-...
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Robbin Blokpoel, Jaap Vreeswijk
Pág. 4572 - 4581
Dynamic traffic light control requires traffic detection to function. Without detectors, only fixed time control is possible. Since traditional sensors like inductive loop detectors have significant installation and maintenance costs, alternative detecti...
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Omar Hernández-González, Felipe Ramírez-Rasgado, Mondher Farza, María-Eusebia Guerrero-Sánchez, Carlos-Manuel Astorga-Zaragoza, Mohammed M?Saad and Guillermo Valencia-Palomo
This paper deals with the problem of the estimation of non-uniformly nonlinear systems with time-varying delays in the state and input. In addition, the problem of the sampled output measurement is also been addressed. Thus, an observer design for a clas...
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Yinan Zheng, Lily Elefteriadou, Thomas Chase, Bastian Schroeder, Virginia Sisiopiku
Pág. 137 - 149
The pedestrian mode is an important component of urban networks, and greatly affects the performance of the sidewalks and crosswalks, as well as the entire network traffic operations by interacting with other traffic modes (automobile, bicycle, transit)....
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Muhammad Yaseen,Aida Mustapha,Noraini Ibrahim
Many of the organizations often fail to deliver big size software projects in allocated time and budget. One of the main reason of exceed in time estimation is improper implementation of requirements and their integration as software requirements are int...
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Zhiheng Xu, Jee Eun Kang, Roger Chen
Pág. 809 - 826
This paper develops a random utility based estimation framework for the Household Activity Pattern Problem (HAPP). Based on the realization that outputs of complex activity-travel decisions form a continuous pattern in space-time dimension, the estimatio...
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Zhiyuan Wang, Hong Ni and Rui Han
As the Internet communication model changes from host-centric to content-centric, information-centric networking (ICN) as a new network architecture has received increasing attention. There are often multiple replicas of content in ICN, and how to reason...
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Yan Liang, Yu Chen, Zhou Meng, Xin Zhou and Yichi Zhang
This paper proposes an underwater broadband target depth estimation method based on the multipath arrival structure in medium and short-range deep-sea environments. The proposed approach involves separating the multipath rays arriving at the vertical lin...
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Yuzhi Zhang, Shumin Zhang, Bin Wang, Yang Liu, Weigang Bai and Xiaohong Shen
Orthogonal time frequency space (OTFS) is a novel two-dimensional (2D) modulation technique that provides reliable communications over time- and frequency-selective channels. In underwater acoustic (UWA) channel, the multi-path delay and Doppler shift ar...
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Xiaowei Liu, Shuwen Jiang and Yi Wu
With the internet developing rapidly, mobile edge computing (MEC) has been proposed to offer computational capabilities to tackle the high latency caused by innumerable data and applications. Due to limited computing resources, the innovation of computat...
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Jun He, Mingjin Shen and Feng Gao
The hardware-in-the-loop (HIL) simulation is an important approach to test space robotic operations, rendering virtual free-floating dynamics on robotic facilities. However, this approach suffers from velocity divergence due to intrinsic time delay in th...
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Wei Huang, Zhiren Han, Li Zhao, Hongbo Xu, Zhongnian Li and Ze Wang
Due to its ability to significantly improve the wireless communication efficiency, the intelligent reflective surface (IRS) has aroused widespread research interest. However, it is a challenge to obtain perfect channel state information (CSI) for IRS-rel...
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Cuiping Pu, Yicheng Zhu and Jianbo Su
Drum water level systems show strong disturbance, big inertia, large time delay, and non-linearity characteristics. In order to improve the antidisturbance performance and robustness of the traditional active disturbance rejection controller (ADRC), an i...
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Soroush Rashidi, Prakash Ranjitkar, Orosz Csaba, Andy Hooper
Pág. 1444 - 1456
Bunching is recognized as one of the deteriorating factors affecting the performance of public transport networks. In this study, for the first time, Gene Expression Programming (GEP) and Decision Tree (DT) methods are utilized to estimate and model bus ...
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Xiaodong Lv, Guangming Zhang, Zhiqing Bai, Xiaoxiong Zhou, Zhihan Shi and Mingxiang Zhu
In this paper, an adaptive neural network global fractional order fast terminal sliding mode model-free intelligent PID control strategy (termed as TDE-ANNGFOFTSMC-MFIPIDC) is proposed for the hypersonic vehicle ground thermal environment simulation test...
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Kamal Rsetam, Yusai Zheng, Zhenwei Cao and Zhihong Man
In this paper, an adaptive active disturbance rejection control is newly designed for precise angular steering position tracking of the uncertain and nonlinear SBW system with time delay communications. The proposed adaptive active disturbance rejection ...
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Shiva Raj Pokhrel and Michel Mandjes
We consider multipath TCP (MPTCP) flows over the data networking dynamics of IEEE 802.11ay for drone surveillance of areas using high-definition video streaming. Mobility-induced handoffs are critical in IEEE 802.11ay (because of the smaller coverage of ...
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Yuki Wakatsuki, Hideaki Nakane and Tempei Hashino
The increasing frequency of devastating floods from heavy rainfall?associated with climate change?has made river stage prediction more important. For steep, forest-covered mountainous watersheds, deep-learning models may improve prediction of river stage...
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