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2023 China Automation Congress, CAC 2023

作者： Yan, Yubiao Li, Jianxiong Dong, Haibo Gao, Chongyi Fang, Yiming Yanshan University Key Lab of Industrial Computer Control Engineering of Hebei Province Qinhuangdao China Tangshan University Department of Electromechanical Engineering Tangshan China

ISBN: (纸本)9798350303759

Obstacle avoidance is a significant research content in multi-agents formation control. The obstacle avoidance of multi-agents systems is investigated in this paper, and an improved artificial potential field method (IAPF) is proposed to avoid unknown obstacles in multi-agent formation. Aiming at improving the efficiency of formation avoidance and solving the non-reachable and local minima problems, the dynamic sub-target algorithm is proposed. The proposed method enables the multi-agent system (MASs) to avoid obstacles smoothly and quickly and complete formation tasks in complex environments by tracking dynamic sub-target as well, in which the position and motion direction of adjacent agents are taken into account in the selection of a sub-target for the formation efficiency. In addition, a variable potential field range is defined to ensure the safety of the formation. Finally, several simulation results verify the superiority and effectiveness of the proposed approach. © 2023 IEEE.

关键词： Multi agent systems

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Research on fault diagnosis of geothermal heat pump based on EEMD and kmeans++ 7

Research on fault diagnosis of geothermal heat pump based on...

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7th IEEE Information Technology and Mechatronics engineering Conference, ITOEC 2023

作者： Zhao, Ming Guo, Zhengjun Liu, Yang Li, Hui Li, He Li, Yun Harbin University of Commence School of Computer and Information Engineering Harbin China Heilongjiang Zn Control Engineering Co. Ltd. Harbin China

ISBN: (纸本)9798350334197

With the development of technology and sustainable concept, ground source heat pump has gradually emerged in the heating industry, which is a new heating technology with the advantages of clean and high efficiency. However, with the continuous operation of the heat pump system, various faults may occur in the internal equipment of the system, such as evaporator fouling, compressor leakage, refrigerant line blockage, etc. It is of great practical significance to identify the fault types accurately and effectively. In this paper, the signal processing method adopts the ensemble empirical mode decomposition, which decomposes the collected ground source heat pump system signals, retains the relevant modal parameters and removes the residual terms, then evaluates each modal component using the approximate entropy as the feature evaluation index, and clusters the entropy values into feature vectors to determine the fault types. The experimental results show that the algorithm based on the combination of ensemble empirical mode decomposition and clustering can be applied to the fault diagnosis accuracy of ground source heat pump systems. © 2023 IEEE.

关键词： Empirical mode decomposition

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Development of control Strategies for an Industrial Robot to Increase Energy Efficiency 30

Development of Control Strategies for an Industrial Robot to...

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30th IEEE International Symposium for Design and Technology in Electronic Packaging, SIITME 2024

作者： Dobrea, Marius-Alexandru Vasluianu, Mihaela Neculoiu, Giorgian Olteanu, Gabriela-Valentina Boicu, Mihaela-Gabriela Varlan, Eduard University POLITEHNICA of Bucharest Faculty of Automatic Control and Computer Science Bucharest Romania Technical University of Civil Engineering of Bucharest Faculty of Hidrotechnics Bucharest Romania

ISBN: (纸本)9798331539511

The paper aims to optimize the energy consumption of industrial robots, with the goal of reducing operational costs and improving the sustainability of the production process. The methods discussed include using energy-efficient components, reducing idle times, and optimizing robot trajectory programming to minimize unnecessary movements. The project presents a simulation of an industrial process for sorting and depalletizing parts using a KUKA KR 4 Agilus robot, along with Arduino development boards for control and coordination. A color sensor system is employed for object detection, optimizing the robot's movements based on the data collected. To analyze energy and time efficiency, two movement routines were compared: one based on SLIN and the other on SPTP. © 2024 IEEE.

关键词： Industrial robots

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Detection of EEG signals in normal and epileptic seizures with multiscale multifractal analysis approach via weighted horizontal visibility graph

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Chinese Physics B 2023年第11期32卷 401-407页

作者：马璐任彦霖何爱军程德强杨小冬 School of Information and Control Engineering China University of Mining and TechnologyXuzhou 221116China Suzhou Vocational and Technical College Suzhou 234000China School of Computer Science and Technology China University of Mining and TechnologyXuzhou 221116China School of Electronic Science and Engineering Nanjing UniversityNanjing 210023China

Electroencephalogram(EEG) signals contain important information about the regulation of brain system. Thus, automatic detection of epilepsy by analyzing the characteristics obtained from EEG signals has important research implications in the field of clinical medicine. In this paper, the horizontal visibility graph(HVG) algorithm is used to map multifractal EEG signals into complex networks. Then, we study the structure of the networks and explore the nonlinear dynamics properties of the EEG signals inherited from these networks. In order to better describe complex brain behaviors, we use the angle between two connected nodes as the edge weight of the network and construct the weighted horizontal visibility graph(WHVG). In our studies, fractality and multifractality of WHVG are innovatively used to analyze the structure of related networks. However, these methods only analyze the reconstructed dynamical system in general characterizations,they are not sufficient to describe the complex behavior and cannot provide a comprehensive picture of the system. To this effect, we propose an improved multiscale multifractal analysis(MMA) for network, which extends the description of the network dynamics features by focusing on the relationship between the multifractality and the measured scale-free ***, neural networks are applied to train the above-mentioned parameters for the classification and identification of three kinds of EEG signals, i.e., health, interictal phase, and ictal phase. By evaluating our experimental results, the classification accuracy is 99.0%, reflecting the effectiveness of the WHVG algorithm in extracting the potential dynamic characteristics of EEG signals.

关键词： epilepsy EEG signal horizontal visibility graph complex network

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Interpretation of ADRC in Q-Structure 6

Interpretation of ADRC in Q-Structure

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6th International Conference on Industrial Artificial Intelligence, IAI 2024

作者： Xu, Jiapeng Chen, Xiang Tan, Ying Zhou, Kemin University of Windsor Department of Electrical and Computer Engineering Windsor Canada The University of Melbourne Department of Mechanical Engineering Melbourne Australia Center for Advanced Control and Smart Operations Nanjing University Suzhou China

ISBN: (纸本)9798350356618

This paper presents a control structure featuring an operator Q driven by the residual signal, which indicates the difference between the measurement output and the estimated output from an observer. The form of this observer is very general, as long as it can generate the estimated state or relevant information that will be incorporated into this control structure. The operator Q introduces an extra design freedom to address uncertainties, such that linear active disturbance rejection control (LADRC) can be interpreted as a special case in the Q-structure when a linear extended state observer is used. © 2024 IEEE.

关键词： Disturbance rejection

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A Hybrid Secure Two-Party Protocol for Vertical Federated Learning 2nd

A Hybrid Secure Two-Party Protocol for Vertical Federated Le...

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2nd International Conference on Ubiquitous Security, UbiSec 2022

作者： Yang, Wenti He, Zhaoyang Li, Yalei Zhang, Haiyan Guan, Zhitao Beijing100192 China School of Control and Computer Engineering North China Electric Power University Beijing102206 China

ISBN: (纸本)9789819902712

Federated learning (FL) is a promising distributed machine learning technique for solving the privacy leakage problem in machine learning training process. Multiple parties collaborate to train a machine learning model, while the data is kept locally, so as to achieve privacy-preservation of users. However, some studies have shown that an attacker can infer some sensitive information from the interacted data, even if the raw data is not available. It is necessary to adopt some privacy-preserving techniques such as secure multi-party computation and homomorphic encryption to prevent the above problem. Most existing solutions have focused on FL over horizontally partitioned data but ignore the research on FL over vertically partitioned data. In this paper, we present a vertical federated learning scheme with enhanced privacy preservation. Split learning is used to enable cooperative neural network training between multiple parties with vertically partitioned datasets, and a hybrid secure two-party computation protocol is adopted for protecting users’ privacy. The experimental results demonstrate the feasibility of our scheme. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Privacy-preserving techniques

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Low-Complexity Hardware Architecture of an H.264-Based Video Encoder for FPGAs

Low-Complexity Hardware Architecture of an H.264-Based Video...

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2023 Congress in computer Science, computer engineering, and Applied Computing, CSCE 2023

作者： Tayyebi, Azam Hanna, Darrin Jones, Bryant Oakland University Department of Electrical and Computer Engineering Rochester United States Intrepid Control Systems Troy United States

ISBN: (纸本)9798350327595

In this paper, we present an architecture for a scalable, efficient, realtime intra H.264 video encoder implemented on an FPGA. Our architecture was designed to achieve a through-put of up to 2.3 Gbit/s using a parallel and pipelined architecture described in VHDL. All modules in the architecture are optimized to utilize minimum hardware area. A parameterized encoding system and flexible architecture is proposed to provide the ability to achieve different compression ratios ranging from 1.4 to 2 with varying size and power requirements. As a baseline, with no compression, the encoder required hardware resources equivalent to 18K logic gates. This work experimented with compression ratios up to 2 which required an equivalent of 31K logic gates. The encoder performs at frequency ranges of 159-183 MHz. © 2023 IEEE.

关键词： CAVLC H.264 integer-transform intra-prediction quantization

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Circularity Reinforcement of Critical Raw Materials in Europe: A Case of Niobium

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Circular Economy and Sustainability 2024年第4期4卷 2449-2472页

作者： von Rennenberg, Theresa Yu, Yifei Fraccascia, Luca Yazan, Devrim Murat Department of Industrial Engineering and Business Information Systems University of Twente Drienerlolaan 5 Enschede 7522 NB Netherlands Department of Computer Control and Management Engineering Sapienza University of Rome Via Ariosto 25 Rome 00185 Italy

Critical Raw Materials attract increasing attention due to their depleting reserves and low recyclability. Niobium, one of the most rare and vital elements, is primarily found in Brazil. This research explores the potential impact of Circular Economy (CE) strategies on mitigating niobium's criticality within Europe. First, a niobium supply chain is designed and analysed by Enterprise Input–Output modelling. Second, the supply risk is calculated based on the criticality matrix proposed by the European Commission under three scenarios associated with resources, technologies, and policies. The results show that urban mining is a potential solution to reduce niobium’s criticality and mitigate its environmental impacts. A higher recycling input rate and/or a mix of recycling and substitution strategies is necessary to offset niobium’s criticality. Aligned with the CE action plan, the research offers a scientific foundation to strategically prevent the risk of niobium supply shortages. © The Author(s) 2024.

关键词： Circular economy Critical raw materials Enterprise input–output Niobium supply chain Scenario analysis

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Hybrid Grey Wolf and Dipper Throated Optimization in Network Intrusion Detection Systems

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computers, Materials & Continua 2023年第2期74卷 2695-2709页

作者： Reem Alkanhel Doaa Sami Khafaga El-Sayed M.El-kenawy Abdelaziz A.Abdelhamid Abdelhameed Ibrahim Rashid Amin Mostafa Abotaleb B.M.El-den Department of Information Technology College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Communications and Electronics Delta Higher Institute of Engineering and TechnologyMansoura35111Egypt Department of Computer Science Faculty of Computer and Information SciencesAin Shams UniversityCairo11566Egypt Department of Computer Science College of Computing and Information TechnologyShaqra University11961Saudi Arabia Computer Engineering and Control Systems Department Faculty of EngineeringMansoura UniversityMansoura35516Egypt Department of Computer Science University of Engineering and TechnologyTaxilaPakistan Department of System Programming South Ural State UniversityChelyabinsk454080Russia

The Internet of Things(IoT)is a modern approach that enables connection with a wide variety of devices *** to the resource constraints and open nature of IoT nodes,the routing protocol for low power and lossy(RPL)networks may be vulnerable to several routing ***’s why a network intrusion detection system(NIDS)is needed to guard against routing assaults on RPL-based IoT *** imbalance between the false and valid attacks in the training set degrades the performance of machine learning employed to detect network ***,we propose in this paper a novel approach to balance the dataset classes based on metaheuristic optimization applied to locality-sensitive hashing and synthetic minority oversampling technique(LSH-SMOTE).The proposed optimization approach is based on a new hybrid between the grey wolf and dipper throated optimization *** prove the effectiveness of the proposed approach,a set of experiments were conducted to evaluate the performance of NIDS for three cases,namely,detection without dataset balancing,detection with SMOTE balancing,and detection with the proposed optimized LSHSOMTE *** results showed that the proposed approach outperforms the other approaches and could boost the detection *** addition,a statistical analysis is performed to study the significance and stability of the proposed *** conducted experiments include seven different types of attack cases in the RPL-NIDS17 *** on the 2696 CMC,2023,vol.74,no.2 proposed approach,the achieved accuracy is(98.1%),sensitivity is(97.8%),and specificity is(98.8%).

关键词： Metaheuristics grey wolf optimization dipper throated optimization dataset balancing locality sensitive hashing SMOTE

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Spacecraft Attitude Fault-tolerant Maneuver control with Flexible Prescribed Performance 7

Spacecraft Attitude Fault-tolerant Maneuver Control with Fle...

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7th International Symposium on Autonomous Systems, ISAS 2024

作者： Yang, Ze Yang, Baoqing Ji, Ruihang Ma, Jie Fang, Xu Ge, Shuzhi Sam Harbin Institute of Technology Control and Simulation Center Harbin China National University of Singapore Electrical and Computer Engineering Singapore Dalian University of Technology Intelligent Control and Optimization For Industrial Equipment of Ministry of Education Dalian China

ISBN: (纸本)9798350363173

This paper studies fault-tolerant control of the spacecraft attitude control system with prescribed performance under the coexistence of actuator faults, disturbances and uncertainties. First, a flexible appointed-time prescribed performance function (FAPPF) is proposed, which can significantly improve prescribed performance control robustness to unknown initial errors and avoid repeated and cumbersome parameter adjustments. Secondly, an equivalent fusion error is designed based on FAPPF, and terminal sliding mode is introduced to design a fault-tolerant controller, so that the attitude and angular rate meet the prescribed performance constraints at the same time. Further, the improved gray wolf optimization algorithm (IGWO) is introduced for online tolerant allocation of actuator control, which satisfies saturation and fault constraints while reducing energy consumption. Finally, numerical simulation proves the controller's superiority and robustness. © 2024 IEEE.

关键词： controllers

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