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2024 International Conference Automatics and Informatics, ICAI 2024

作者： Yordanov, Stanimir Mihalev, Georgi Ormandzhiev, Krasimir Ivanov, Stefan Technical University of Gabrovo Information and Control Systems Department of Automation Gabrovo Bulgaria Technical University of Gabrovo Department of Power Engineering Gabrovo Bulgaria

ISBN: (纸本)9798350353907

The paper proposes a switching multiparametric control for an electrohydraulic servo system with throttle regulation. The architecture of a MISO (Multiple Input Single Output) control is considered, consisting of a conventional PID controller operating in the deviation control channel and a fuzzy PID controller operating in the disturbance channel. The main issues arising from the use of this type of control are discussed, and an analysis of the stability of the closed-loop system is conducted. Graphic results for the control quality of the designed system are obtained using a universal measurement and control module. The advantages of this type of control and the manifestation of additional robust qualities of the system are experimentally demonstrated. © 2024 IEEE.

关键词： Three term control systems

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loT-enabled Rapid Global Maximum Power Point Tracking for Multiple Photovoltaic Inverters 15

loT-enabled Rapid Global Maximum Power Point Tracking for Mu...

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15th IEEE International Symposium on Power Electronics for Distributed Generation Systems, PEDG 2024

作者： Zhou, Kangjia Gao, Feng Qin, Caiyun Meng, Xiangjian School of Electrical Engineering Shandong University Jinan China School of Control Science and Engineering Shandong University Jinan China College of Electrical Engineering and Automation Shandong University of Science and Technology Qingdao China

ISBN: (纸本)9798350361001

Maximum power point tracking (MPPT) is a crucial technology for enhancing photovoltaic (PV) array power generation efficiency. Under scenarios with partial shading, the output power characteristic curve of a PV array often displays multiple peaks, necessitating the use of global peak-seeking techniques. Particle Swarm Optimization (PSO) and its advanced variants have been widely adopted to address global optimization challenges. However, the current landscape primarily includes PSO based MPPT methods designed for single inverters, which tend to exhibit slow optimization speeds. This paper presents an Internet of Things (IoT)-based multi- inverters approach for global MPPT. In this approach, all inverters within the network are treated as a single particle. This transformation shifts the conventional serial PSO operation into a parallel one, enabling data exchange among inverters to jointly track the maximum power point. Simulation results demonstrate that the proposed methodology significantly accelerates the optimization process, effectively mitigating the limitations of traditional approaches. © 2024 IEEE.

关键词： Particle swarm optimization (PSO)

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Kalman Filter Adaptive Speed Tracking control for High-speed Trains with Noise Interference 7

Kalman Filter Adaptive Speed Tracking Control for High-speed...

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7th International Conference on Intelligent Robotics and control engineering, IRCE 2024

作者： Zhang, Chunli Xie, Yuwei Yan, Lei Qian, Fucai Xi'an University of Technology Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing College of Automation and Information Engineering Xi'an China

ISBN: (纸本)9798350352399

In this paper, high-speed train is regarded as a single prime point, a new tracking control method combining adaptive control and Kalman filtering is proposed. This paper solves the noise interference problem in the tracking control process of high-speed train. The method first linearises the original system, then uses Kalman filtering to do model estimation, and the controller is designed for the predictive model through adaptive control. Finally, MATLAB is used to simulate and verify the effectiveness of this method. This proposed method successfully solves the problems of nonlinearity, noise interference and unknown parameters in system. The error caused by resistance in the high-speed train tracking control process can be dealt with effectively. © 2024 IEEE.

关键词： Kalman filters

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Observer-based quantised control of networked systems with round-robin protocol and transmission delay

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Journal of control and Decision 2025年第1期12卷 24-33页

作者： Ge Guo Xuefei Yan Jian Kang State Key Laboratory of Synthetical Automation for Process Industries Northeastern UniversityShenyangPeople's Republic of China School of Control Engineering Northeastern University at QinhuangdaoQinhuangdaoPeople's Republic of China College of Information Science and Engineering Northeastern UniversityShenyangPeople's Republic of China

This paper addresses the ultimate boundedness control problem for a class of networked nonlinear systems with the round-robin(RR)protocol and uniform *** communication between sensor nodes and the controller is implemented via a constrained communication *** quantised output of the system is transmitted to the remote controller through a communication channel subject to a transmission *** the purpose of alleviating possible data collision,the well-known RR communication protocol is deployed to schedule the data *** the other hand,the uniform quantisation effects of the network are characterised by a round function(*** nearest integer function).The purpose of the addressed problem is to design an observer-based controller for the networked nonlinear systems such that,in the presence of RR protocol and uniform quantisation effects,the closed-loop system is ultimately *** controller is designed based on mean square stability analysis and Lyapunov-like method.A set of sufficient conditions for the ultimate boundedness of the closed-loop system are established and,on the basis of which,the desired controller gains are obtained by solving a set of linear matrix *** effectiveness of the proposed method is verified by numerical examples.

关键词： Networked control systems(NCSs) round-robin(RR)protocol transmission delay uniform quantisation ultimate boundedness control

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Research and Application of Partial Discharge Identification Method of Switchgear Based on Joint Feature Collocation GBDT 7

Research and Application of Partial Discharge Identification...

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7th International Conference on Electric Power Equipment - Switching Technology, ICEPE-ST 2024

作者： Dai, Dongyun Lin, Yuji You, Yimin Sang, Zhongqing Liao, Quanchang Tu, Yuanting School of Electrical Engineering and Automation Xiamen University of Technology Xiamen Key Laboratory of Frontier Electric Power Equipment and Intelligent Control Xiamen China

ISBN: (纸本)9798350388947

The audio signal in the running process of the switchgear contains a lot of operating state information, which is of great significance to the monitoring of the internal insulation fault and abnormal state. In order to accurately identify partial discharge signals and non-partial discharge signals from audio signals collected in the complex environment of switching station, a method of feature extraction and recognition of partial discharge signals based on joint feature and gradient lifting decision tree (GBDT) is proposed. Firstly, the information distribution of partial discharge signal and non-partial discharge signal in time domain, frequency domain and time-frequency domain is analyzed, and corresponding features are extracted to form joint features. Then, GBDT is used to train the model and complete the recognition. Finally, the recognition method is verified, and various combinations are compared with common features and support vector machine (SVM). The recognition accuracy of combined features with GBDT reaches 100%. Based on this method, an online monitoring system is designed, and the audio recording and partial discharge identification results are displayed in the WeChat mini program. The research method and the system designed in this paper can be used for the online analysis and detection of the audio signal of the switchgear, which has certain engineering application value. © 2024 IEEE.

关键词： Audio recordings

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A Survey on Negative Transfer

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IEEE/CAA Journal of Automatica Sinica 2023年第2期10卷 305-329页

作者： Wen Zhang Lingfei Deng Lei Zhang Dongrui Wu the Key Laboratory of the Ministry of Education for Image Processing and Intelligent Control School of Artificial Intelligence and AutomationHuazhong University of Science and TechnologyWuhan 430074China IEEE the School of Microelectronics and Communication Engineering Chongqing UniversityChongqing 400044China

Transfer learning(TL)utilizes data or knowledge from one or more source domains to facilitate learning in a target *** is particularly useful when the target domain has very few or no labeled data,due to annotation expense,privacy concerns,***,the effectiveness of TL is not always *** transfer(NT),i.e.,leveraging source domain data/knowledge undesirably reduces learning performance in the target domain,and has been a long-standing and challenging problem in *** approaches have been proposed in the literature to address this ***,there does not exist a systematic *** paper fills this gap,by first introducing the definition of NT and its causes,and reviewing over fifty representative approaches for overcoming NT,which fall into three categories:domain similarity estimation,safe transfer,and NT *** areas,including computer vision,bioinformatics,natural language processing,recommender systems,and robotics,that use NT mitigation strategies to facilitate positive transfers,are also ***,we give guidelines on NT task construction and baseline algorithms,benchmark existing TL and NT mitigation approaches on three NT-specific datasets,and point out challenges and future research *** ensure reproducibility,our code is publicized at https://***/chamwen/NT-Benchmark.

关键词： Domain adaptation domain similarity negative transfer positive transfer transfer learning

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System Structure for Railway Switch Points and Signals Electrical Interlocking Powered by Renewable Energy Sources and Emergency Cable Network

System Structure for Railway Switch Points and Signals Elect...

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2024 International Conference on Industrial engineering, Applications and Manufacturing, ICIEAM 2024

作者： Efanov, Dmitrii V. Ruziev, Davron Kh. Khóroshev, Valerii V. Transport Higher School Of Mechanical Engineering Material And Transport Institute In Peter The Great St. Petersburg Polytechnic University St. Petersburg Russia Tashkent State Transport University 'Automation And Remote Control' Department Tashkent Uzbekistan Russian University Of Transport 'Automation Remote Control And Communication On Railway Transport' Department Moscow Russia 'Automation Remote Control And Communication On Railway Transport' Department Moscow Russia

ISBN: (纸本)9798350395013

Article propose a hybrid technology of power supply in the electrical interlocking systems development for railway stations. The main feed input is proposed to be carried out from renewable energy sources. Such sources are near the railway track. Redundant power supply should be provided using traditional cable networks with local placement. The article presents the structures of electrical interlocking systems based on hybrid technology. In addition, when supplying power to railway automation and remote control, the power supply must be guaranteed. That is why, at this stage of the transition, it is necessary to maintain redundant cable glands. In the future, a complete transition to energy supply from renewable energy sources is proposed. The authors considered the use of energy sources with solar panels. The following solutions are proposed for organizing the power supply of railway automation and remote-control devices: providing power supply in the yard neck with local power sources - solar panels, linking between wayside device and the signal box using fiber optic cables and radio channels. The main attention is paid to the environmentally friendly energy sources, the wire routing shorts and maintenance. © 2024 IEEE.

关键词： Energy efficiency

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Boosting Explore-Exploit Behavior for Navigating Vehicle by Maintaining Informative Topological Frontier

IEEE Transactions on Intelligent Vehicles

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IEEE Transactions on Intelligent Vehicles 2024年 1-11页

作者： Liu, Qiming Cui, Xinru Liu, Zhe Wang, Hesheng Department of Automation Shanghai Jiao Tong University Shanghai China MoE Key Lab of Artificial Intelligence AI Institute Shanghai Jiao Tong University Shanghai China Department of Automation Key Laboratory of System Control and Information Processing of Ministry of Education Key Laboratory of Marine Intelligent Equipment and System of Ministry of Education Shanghai Engineering Research Center of Intelligent Control and Management Shanghai Jiao Tong University Shanghai China

Target search in unknown environments places high demands not only on an autonomous vehicle's ability to perceive and interpret target cues, but also on its conscious of collecting these cues by active exploration. While existing navigation methods have successfully built target-driven policies by maintaining memory of explored areas, there has been a lack of focus on facilitating target-aware exploration-the informative frontier information at unexplored yet visible areas is often overlooked. In this paper, we introduce a novel topology-based memory structure, Frontier-enhanced Topological Memory (FTM), and a Hierarchical Topology Encoding and Extraction (HTEE) module, fostering the autonomous vehicle's awareness of both environmental exploration and target approach. Specifically, FTM innovatively incorporates informative ghost nodes on traditional topological map to represent unexplored yet visible regions. We leverage an online-trained implicit scene representation to estimate the positions and generate features of these ghost nodes. The HTEE then employs implicit graph convolutions and attention mechanisms to extract cognitive information from FTM, taking into account the hierarchical memory structure, target cues, and current state. Our design bolsters cognitive navigation decisions. The experiments in the high-fidelity environments, including performance tests, visualizations, and interpretability experiments, validate the effectiveness of our approach in enhancing the vehicle's exploratory behavior. The improved exploration awareness for target cue collection, in turn, enhances the success rate and path efficiency of target search. Furthermore, we demonstrate the adaptability of our algorithm in real-world physical environments. IEEE

关键词： Data mining

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Event-Triggered Extended Dissipative FTB for T-S Fuzzy Switched Systems With Mismatched Phenomena and Deception Attacks: A Multidomain Framework

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IEEE Transactions on Cybernetics 2024年第9期54卷 4928-4938页

作者： Chen, Haiyang Zong, Guangdeng Su, Shun-Feng Gao, Fangzheng Tiangong University School of Control Science and Engineering Tianjin300387 China Nanjing Institute of Technology School of Automation Jiangsu Collaborative Innovation Center for Smart Distribution Network Nanjing211167 China National Taiwan University of Science and Technology Department of Electrical Engineering Taipei106 Taiwan Nanjing Institute of Technology School of Automation Nanjing211167 China

This article investigates the extended dissipative finite-time boundedness (ED-FTB) problem for fuzzy switched systems under deception attacks. To improve the network resource efficiency, a multidomain probabilistic event-triggered mechanism (MDPETM) is proposed. The mode mismatched phenomenon is modeled based on the switching delay information between the controller mode and the system mode. To extract the true signal generated by the MDPETM, a virtual delay concept is developed. The constraint that the controller and the system must have the same premise variables is removed. Based on the MDPETM, mismatched fuzzy state feedback controllers are first devised which may not share the same modes with the system. Then, by establishing fuzzy basis and controller mode-dependent Lyapunov functionals, sufficient criteria free of nonlinear terms existing in the literature are derived, which ensure the ED-FTB of the closed-loop system under admissible delays and deception attacks. Finally, an application-oriented one-link robotic arm system is utilized to validate the theoretical results. © 2013 IEEE.

关键词： controllers

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Safety-Critical Randomized Event-Triggered Learning of Gaussian Process With Applications to Data-Driven Predictive control

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IEEE Transactions on Automatic control 2024年第6期70卷 3920-3935页

作者： Zheng, Kaikai Shi, Dawei Shi, Yang Beijing Institute of Technology MIIT Key Laboratory of Servo Motion System Drive and Control School of Automation Beijing100081 China University of Victoria Department of Mechanical Engineering Faculty of Engineering VictoriaBCV8N 3P6 Canada

Safety and data efficiency are important concerns in data-driven control, especially for nonlinear systems with unknown dynamics and subject to disturbances. In this work, we consider a class of control-affine nonlinear systems with partially unknown dynamics and aim to introduce an event-triggered learning-based control approach with guaranteed safety and improved data utilization efficiency. Specifically, a randomized learning approach is employed to evaluate the safety of state trajectories by defining and estimating its confidence interval, with data from a multisample of randomly generated state trajectories. Using the proposed randomized learning algorithm, a nominal trajectory with a high probability safety guarantee is designed, thus ensuring the disturbed system states to remain within a pre-specified range around the nominal trajectory with a sufficiently high probability. Through removing irrelevant data, a local prediction model around the nominal trajectory is learned with satisfactory precision, and is updated online using an event-triggered learning strategy. Based on the learned model, an efficient data-driven predictive controller is designed to force the system states to evolve within the vicinity of the designed safety nominal trajectory. The effectiveness of the proposed event-triggered learning and data-driven control approaches is validated through comprehensive simulation studies. © 1963-2012 IEEE.

关键词： Predictive control systems

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