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3rd International Conference on Blockchain Technology and Information Security, ICBCTIS 2023

作者： Wang, Xu Sun, Shimin Han, Li School of Computer Science and Engineering Tianjin University of Technology Tianjin China Tianjin Key Laboratory of Autonomous Intelligent Technology and System School of Software Tiangong University Tianjin China School of Computer Science and Engineering Tianjin University of Technology National Engineering Laboratory for Computer Virus Prevention and Control Technology Tianjin China

ISBN: (纸本)9798350340402

The complexity and diversity of smart grid systems increase the likelihood of anomalies in communications between devices in the system, and how these anomalies are detected is critical to the security of the grid system. However, the distribution of traffic types in the grid is often highly unbalanced, with the total amount of normal traffic data often far outweighing the anomalous data. This imbalance compromises the effectiveness of the detection model and poses a significant threat to the overall security of the grid This paper improves on traditional conditional generation adversarial neural networks and designs a new approach to overcome this obstacle and enhance the security of smart grid systems. In the generator part, the spatial features of the data are captured by convolutional neural networks, and the temporal features of the data are captured by gated recurrent units. By integrating these two components into the generative network we can generate synthetic data with both temporal and spatial features, thus enhancing the minority class samples. By incorporating the augmented minority data into the training process, the proposed approach enables the detection model to understand the distribution of features of the minority anomaly samples more accurately. This improved learning accuracy translates into improved model performance, resulting in higher detection rates for Previously under-represented anomalies. In addition, our approach effectively addresses the inherent bias towards traffic types with higher flows typically observed in asymmetric datasets, thus providing a more equitable and comprehensive security solution for smart grid systems. © 2023 IEEE.

关键词： Anomaly detection

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Three Dimensional Path Planning of Snake-Arm Robot Based on Improved Ant Colony Algorithm 12

Three Dimensional Path Planning of Snake-Arm Robot Based on ...

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12th International Conference on CYBER Technology in Automation, control, and Intelligent systems, CYBER 2022

作者： Chen, Xu Jiang, Yong Key Laboratory of Networked Control System Chinese Academy of Sciences Shenyang110016 China Shenyang Institute of Automation Chinese Academy of Sciences Shenyang110016 China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang110169 China

ISBN: (数字)9781665472678

ISBN: (纸本)9781665472678

A path planning algorithm based on an improved ant colony algorithm was proposed to solve the path planning problem of snake-arm robots in a structured environment. The heuristic function of the ant colony algorithm is combined with an artificial potential field. Setting up a repulsive force field around the obstacle and an attractive field at the target point, the snake-arm robot is guided to advance from the starting point to the target point while avoiding the obstacle. Chaos disturbance is added to the pheromone update to improve the global search capability of the algorithm. In path optimization, the linear generation algorithm and cubic uniform B-spline curve interpolation algorithm are used to optimize the path globally. © 2022 IEEE.

关键词： Motion planning

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Prescribed Time Attitude Tracking control of Unmanned Aerial Vehicles Under Unknown Attacks and Input Saturation

Prescribed Time Attitude Tracking Control of Unmanned Aerial...

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International Conference on control and Automation (ICCA)

作者： Liping Wang Hailong Pei Key Laboratory of Autonomous Systems and Networked Control Ministry of Education Guangdong Engineering Technology Research Center of Unmanned Aerial Vehicle Systems South China University of Technology Guangzhou P. R. China

ISBN: (数字)9798350354409

ISBN: (纸本)9798350354416

This paper addresses the prescribed time performance attitude tracking control problem of un-manned aerial vehicles under unknown attacks and input saturation. The attitude error dynamic model is constructed under the framework of Lie group SO(3). By integrating a prescribed time performance function with coordinate transformation, the tracking error can remain within a given region in a prescribed time. In the backstepping design process, a first-order sliding mode differentiator is given to overcome the explosion of complexity problem, and nonlinear disturbance observer is developed to deal with the unknown attacks and input saturation. A prescribed time performance attitude tracking control method is designed to ensure that all of the closed-loop signals are bounded. Finally, the superiority and effectiveness of the designed controller are stated by the simulation results.

关键词： Backstepping Attitude control Communication systems Simulation Lie groups Explosions Disturbance observers

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A Novel Tandem Ducted Fan UAV Attitude control Based on Cascade PID controller

A Novel Tandem Ducted Fan UAV Attitude Control Based on Casc...

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Chinese control Conference (CCC)

作者： Ziqi Yu Key Laboratory of Autonomous Systems and Networked Control Ministry of Education Unmanned Aerial Vehicle Systems Engineering Technology Research Center of Guangdong South China University of Technology Guangzhou China

In this paper, we introduce a novel tandem ducted fan unmanned aerial vehicle (UAV) and focus on the attitude control problem of it. Firstly, the structural layout of this new vehicle is introduced, then the force analysis and mathematical formula are performed based on kinematic and dynamical formulas. Secondly, this section is not only focuses on the degsign of controller but also the analysis of its advantages. For example, how they can improve system performance through frequency domain analysis, implementation of specific algorithms. Thirdly, an outdoor flight experiment is completed. The experimental process is as follows: after having the appropriate parameters, the vehicle is first allowed to fly to a height of about 10 meters and hover down, and then three attitude angle changes are performed. Finally, we conclude that the cascade PID controller for this type of UAV attitude control is simple, practical and can cope with many flight conoditions and indicate the shortcomings of this dissertation and future work.

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Research on Analyzing Factors and Countermeasures of MDW Classified Collection 3

Research on Analyzing Factors and Countermeasures of MDW Cla...

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3rd International Conference on Industrial Artificial Intelligence, IAI 2021

作者： Wang, Jingyang Liu, Ying Sun, Haojie Zou, Yutong Shenyang Institute of Automation Chinese Academy of Sciences Key Laboratory of Networked Control System Shenyang China Liaoning University School of Innovation and Entrepreneurship Shenyang China

ISBN: (纸本)9781665435178

With the rapid development and urbanization of the economy, Municipal Domestic Waste (MDW) pollution is getting worse, the total amount of MDW is increasing year by year. As the basis of the effective use, the study of MDW classified collection has drawn more and more attention. In this paper, through the comprehensive analysis of impact factors of MDW classified collection, we established the indication system which can affect the MDW classified collection with the ISM - ANP method. We find the most important factor by index assignment. Furthermore, we put forward countermeasures to promote MDW classified collection. © 2021 IEEE.

关键词： Pollution Indexes Artificial intelligence

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Virtual chain: A storage model supporting cross-blockchain transaction

Virtual chain: A storage model supporting cross-blockchain t...

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作者： Wang, Yan Yang, Bingqing Liu, Jingxin Zeng, Hui Xia, Changqing College of Information Liaoning University Shenyang China State key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China Key Laboratory of Networked Control System Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang China

At present, blockchain is not only applied in the financial field, but also extended to the medical, insurance, internet of things, and many other fields. Its independence leads to more and more significant problems of network isolation. To address the problem of the cooperative operation between different blockchains, this article proposes virtual chain, a storage model supporting cross-blockchain transaction. It not only ensures that cross-chain transactions are tamper-proof and traceable but also realizes completely decentralized storage. First, to tackle the multidimensional heterogeneous problem existing in cross-chain trading, a data structure based on prefix tree is proposed to manage cross-chain trading data on top of source chain and target chain. Second, a signature verification mechanism based on elliptic curve is proposed to meet the operational atomicity requirements of both parties of cross-chain transaction. Third, the data fusion technology is used to expand the block capacity indirectly to achieve the high throughput of cross-chain transactions. Finally, by using the credibility-based access control and block chain technology to ensure the security of the data storage model, and conduct security analysis from three aspects of tamper-proof, data protection and anti-conspiracy node attack. The experiment shows that the proposed cross-chain transaction storage model can realize the efficient storage of the heterogeneous data, and satisfy the high requirement of the cross-chain transaction. Moreover, the virtual chain storage model establishes a safe and reliable working environment. © 2020 John Wiley & Sons Ltd.

关键词： Blockchain

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Efficient Trajectory Generation Based on Traversable Planes in 3D Complex Architectural Spaces

arXiv

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arXiv 2025年

作者： Zhang, Mengke Tian, Zhihao Xia, Yaoguang Xu, Chao Gao, Fei Cao, Yanjun The State Key Laboratory of Industrial Control Technology College of Control Science and Engineering Zhejiang University Hangzhou310027 China Huzhou Institute Zhejiang University Huzhou Key Laboratory of Autonomous System Huzhou313000 China China Tobacco Zhejiang Industrial Co. Ltd. Hangzhou310024 China

With the increasing integration of robots into human life, their role in architectural spaces where people spend most of their time has become more prominent. While motion capabilities and accurate localization for automated robots have rapidly developed, the challenge remains to generate efficient, smooth, comprehensive, and high-quality trajectories in these areas. In this paper, we propose a novel efficient planner for ground robots to autonomously navigate in large complex multi-layered architectural spaces. Considering that traversable regions typically include ground, slopes, and stairs, which are planar or nearly planar structures, we simplify the problem to navigation within and between complex intersecting planes. We first extract traversable planes from 3D point clouds through segmenting, merging, classifying, and connecting to build a plane-graph, which is lightweight but fully represents the traversable regions. We then build a trajectory optimization based on motion state trajectory and fully consider special constraints when crossing multi-layer planes to maximize the robot’s maneuverability. We conduct experiments in simulated environments and test on a CubeTrack robot in real-world scenarios, validating the method’s effectiveness and practicality. Copyright © 2025, The Authors. All rights reserved.

关键词： Flight paths

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Extended Preintegration for Relative State Estimation of Leader-Follower Platform

arXiv

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arXiv 2023年

作者： Xia, Ruican Pei, Hailong The Key Laboratory of Autonomous Systems and Networked Control Ministry of Education Unmanned Aerial Vehicle Systems Engineering Technology Research Center of Guangdong South China University of Technology Guangzhou510640 China

Relative state estimation using exteroceptive sensors suffers from limitations of the field of view (FOV) and false detection, that the proprioceptive sensor (IMU) data are usually engaged to compensate. Recently ego-motion constraint obtained by Inertial measurement unit (IMU) preintegration has been extensively used in simultaneous localization and mapping (SLAM) to alleviate the computation burden. This paper introduces an extended preintegration incorporating the IMU preintegration of two platforms to formulate the motion constraint of relative state. One merit of this analytic constraint is that it can be seamlessly integrated into the unified graph optimization framework to implement the relative state estimation in a high-performance real-time tracking thread, another point is a full smoother design with this precise constraint to optimize the 3D coordinate and refine the state for the refinement thread. We compare extensively in simulations the proposed algorithms with two existing approaches to confirm our outperformance. In the real virtual reality (VR) application design with the proposed estimator, we properly realize the visual tracking of the six degrees of freedom (6DoF) controller suitable for almost all scenarios, including the challenging environment with missing features, light mutation, dynamic scenes, etc. The demo video is at https://***/watch?v=0idb9Ls2iAM. For the benefit of the community, we make the source code public. Copyright © 2023, The Authors. All rights reserved.

关键词： Virtual reality

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Few-Reference Image Quality Assessment with Multiple Information Measurement Fusion 9th

Few-Reference Image Quality Assessment with Multiple Inform...

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9th International Forum on Digital Multimedia Communication, IFTC 2022

作者： Shi, Shuang Wang, Simeng Liu, Yuchen Zhou, Chengxu Gu, Ke Faculty of Information Technology Beijing University of Technology Beijing China Engineering Research Center of Intelligent Perception and Autonomous Control Ministry of Education Beijing China Beijing Laboratory of Smart Environmental Protection Beijing China Beijing Key Laboratory of Computational Intelligence and Intelligent System Beijing China Beijing Artificial Intelligence Institute Beijing China School of Electronic and Information Engineering Liaoning University of Technology Liaoning Jinzhou China Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education Dalian University of Technology Dalian China

ISBN: (纸本)9789819908554

In the era of media information explosion, there is an urgent need for a fast and reliable image quality assessment (IQA) model to improve the actual application effect of images. To this end, we propose the multiple information measurement fusion metric (MMFM), which innovatively combines two types of information measures (IMs), i.e., local IM and global IM, using only a small number of references for IQA. First, inspired by the free energy theory, we combine 2-dimensional autoregressive model with sparse random sampling method as an inference engine on an input image to generate its associated predicted image. Second, by the inspiration of pixel-wise measurement, we obtain the local IM by calculating the information entropy of the residual error between the input image and its corresponding predicted one. Third, motivated by the histogram-based measurement, we acquire the global IM by computing the two kinds of divergences between the input image and its predicted one. Fourth, we systematically fuse three components, independently including one distance of local IM between the reference and corrupted images and two distances of global IMs between the reference and corrupted images, based on a linear function to derive the final IQA result. The results of experiment on the most popular LIVE database show that our designed algorithm with only one number used as few reference has achieved well performance as compared with several mainstream IQA models. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Image enhancement

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Design and control of a Novel 5-DoF Tilt-Rotor Quadcopter

Design and Control of a Novel 5-DoF Tilt-Rotor Quadcopter

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Chinese Automation Congress (CAC)

作者： Zhenwei Lin Wei Liu Dabo Xu Key Laboratory of Autonomous Systems and Networked Control of Ministry of Education School of Automation Science and Engineering South China University of Technology Guangzhou China Shien-Ming Wu School of Intelligent Engineering South China University of Technology Guangzhou China

ISBN: (数字)9798350368604

ISBN: (纸本)9798350368611

This paper presents a novel 5-DoF (degrees of freedom) tilt-rotor quadcopter. Compared to traditional quadcopters, the vehicle offers more DoF by adding two servo-driven mechanisms. The extra DoF allow it to move at a constant pitch angle, thus adapting it to more scenarios, such as slope landings. In addition, the proposed tilt-rotor quadcopter can generate greater torque around the z-axis of the body coordinate system. This gives it an advantage in some scenarios, such as carrying a manipulator to turn valves in the air. In this paper, we first design and model the proposed tilt-rotor quadcopter. Then, we design the controller and control allocation algorithm for the proposed tilt-rotor quadcopter. The control allocation algorithm has clear analytical solutions, which benefits its implementation and deployment. Finally, the structure and control strategy of the tilt-rotor quadcopter are validated by an experiment.

关键词： Torque Automation 5-DOF Atmospheric modeling Valves Manipulators Resource management Quadrotors

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