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Menglin Li, Xueqiang Gu, Chengyi Zeng and Yuan Feng
Reinforcement learning, as a branch of machine learning, has been gradually applied in the control field. However, in the practical application of the algorithm, the hyperparametric approach to network settings for deep reinforcement learning still follo...
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Rongjun Mu, Yanpeng Deng and Peng Wu
In this paper, a novel guidance algorithm based on adaptive convex optimization is proposed to ensure robustness in the uncertainty of a lunar lander?s parameters and satisfy the constraints of terminal position, velocity, attitude, and thrust. To addres...
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Ce Zhang, Duanyang Geng, Haigang Xu, Xinao Li, Jiarui Ming, Duanxin Li and Qihuan Wang
The air distribution and speed uniformity of the cleaning fan in the cleaning room have a great influence on the working quality of the cleaning system of the harvester. In view of the problem of uneven air distribution in the cleaning room caused by imp...
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Manuel A. Duarte-Mermoud, Javier A. Gallegos, Norelys Aguila-Camacho and Rafael Castro-Linares
Adaptive and non-adaptive minimal realization (MR) fractional order observers (FOO) for linear time-invariant systems (LTIS) of a possibly different derivation order (mixed order observers, MOO) are studied in this paper. Conditions on the convergence an...
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Petr Lehner, Lenka Koubová and Miroslav Rosmanit
The results of numerical calculations on the resistance of the reinforced concrete bridge deck to chlorides are compared with a different approach to the diffusion coefficient of the input parameter, and presented. The aim is to point out the necessity o...
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Johannes Stübinger and Katharina Adler
This paper develops the generalized causality algorithm and applies it to a multitude of data from the fields of economics and finance. Specifically, our parameter-free algorithm efficiently determines the optimal non-linear mapping and identifies varyin...
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Han Zhou, Pengyao Yu, Xiang Jin and Tianlin Wang
A disc-type underwater glider (DTUG) has a highly symmetrical shape and is characterized by omnidirectional characteristics and high maneuverability in small bodies of water. To further explore the disc shape?s advantages and characteristics in steering ...
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Ana Rivas, Inmaculada Gallego, Santos Sánchez-Cambronero, Rosa M. Barba, Lidia Ruiz-Ripoll
Pág. 332 - 340
This paper presents a methodology for the dynamic estimation of traffic flows on all links of a network from observable field data assuming the first-in-first-out (FIFO) hypothesis. The traffic flow intensities recorded at the exit of the scanned links a...
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Qiang Pei, Pengfei Qi, Zhicheng Xue, Jintu Zhong and Yao Zhang
The aim of this study was to further research the mechanical properties of epoxy thick-layer rubber isolation bearings, adopting orthogonal design and efficacy coefficient methods in order to optimize the geometric dimensions and material parameters of t...
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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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Wenbo Gao, Muxuan Pan, Wenxiang Zhou, Feng Lu and Jin-Quan Huang
Due to the strong representation ability and capability of learning from data measurements, deep reinforcement learning has emerged as a powerful control method, especially for nonlinear systems, such as the aero-engine control system. In this paper, a n...
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Lei Zhang, Jin Mu, Hongtu Ma, Guicheng Dai and Shengxi Tong
General aviation is an important branch of the aviation field. As a green energy aircraft, the electric aircraft is an important component and development direction of general aviation aircraft, and its safety is crucial. In this paper, the aerodynamic a...
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Tianlei Wang, Fei Ding and Zhenxing Sun
Human intelligence has the advantage for making high-level decisions in the remote control of underwater vehicles, while autonomous control is superior for accurate and fast close-range pose adjustment. Combining the advantages of both remote and autonom...
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Tebogo Bokaba, Wesley Doorsamy and Babu Sena Paul
Road traffic accidents (RTAs) are a major cause of injuries and fatalities worldwide. In recent years, there has been a growing global interest in analysing RTAs, specifically concerned with analysing and modelling accident data to better understand and ...
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Wanying Gao, Kehang Li and Chunling Wei
The satellite cluster formation reconfiguration has received considerable attention in recent years. However, the traditional centralized control methods are challenging to apply to satellite clusters because of the enormous fuel consumption, and few stu...
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Zhihong Ouyang, Lei Xue, Feng Ding and Da Li
Linear approximate segmentation and data compression of moving target spatio-temporal trajectory can reduce data storage pressure and improve the efficiency of target motion pattern mining. High quality segmentation and compression need to accurately sel...
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Nicola Petacco, Danilo Pitardi, Carlo Podenzana Bonvino and Paola Gualeni
A methodology is presented to systematically modify the hull shape of a ballast-free container ship, in order to manage the issue of righting lever variation in waves. The IMO second generation intact stability criteria have been identified as a stabilit...
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Hao Chen, Wei Xie, Xiyang Chen, Jingang Han, Nadia Aït-Ahmed, Zhibin Zhou, Tianhao Tang and Mohamed Benbouzid
This study mainly investigates the current and speed control strategies of a doubly-fed induction generator (DFIG), which is applied to a tidal stream turbine (TST). Indeed, DFIG using integer-order PI (IOPI) controller has been widely proposed in the ap...
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Yunlong Dong, Wei Guo, Fusheng Zha, Yizhou Liu, Chen Chen and Lining Sun
The friction and stiffness properties of the terrain are very important pieces of information for mobile robots in motion control, dynamics parameter adjustment, trajectory planning, etc. Inferring the friction and stiffness properties in advance can imp...
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Jidong Wang, Zhilin Xu and Yanbo Che
In order to effectively identify complex power quality disturbances, a power quality disturbance classification method based on empirical wavelet transform and a multi-layer perceptron extreme learning machine (ELM) is proposed. The model uses the discre...
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