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Abnormal Status Detection of Catenary Based on TSNE Dimensionality Reduction Method and IGWO-LSSVM Model

Recent Patents on Mechanical engineering 2023年第3期16卷 188-202页

作者： Lingzhi, Yi Guo, Yu Yahui, Wang Tengfei, Dong Huang, Yu Haixiang, She College of Automation and Electronic Engineering Xiangtan University Hunan Xiangtan411105 China Hunan Engineering Research Center of Multi-energy Cooperative Control Technology Hunan Xiangtan411105 China College of Electrical and Information Engineering Hunan University Hunan Changsha410082 China Pu'er Infrastructure section of China Railway Kunming Group Co. Ltd Yunnan Kunming665000 China

Background: Catenary is a crucial component of an electrified railroad's traction power supply sys-tem. There is a considerable incidence of abnormal status and failures due to prolonged outside exposure. Driving safety will be directly impacted if an abnormal status or failure occurs. Currently, catenary detection vehicles are the most often utilized technique for gathering data and identifying faults based on manual experience. However, this technology cannot meet the demands of prompt detection and correction of faults in railways engineering due to its extremely low work efficiency. Objective: Based on the above, an abnormal status detection method of catenary based on the improved gray wolf (IGWO) algorithm optimized the least squares support vector machine (LSSVM) with the t-distributed stochastic neighbor embedding (TSNE) is proposed in this paper. In order to improve the accuracy of catenary abnormal status detection and shorten the detection time. Methods: Firstly, the TSNE dimensionality reduction technology is used to reduce the original catenary data to three-dimensional space. Then, in order to address the issue that the parameters of the LSSVM detection model are hard to determine, the improved GWO algorithm is used to optimize the penalty factor and kernel parameter in the LSSVM and establish the TSNE-IGWO-LSSVM catenary abnormal status detection model. Finally, contrasting experimental results of different detection models. The T-distributed Stochastic Domain Embedding (TSNE) is an improved nonlinear dimensionality reduction method based on the Stochastic Neighbor Embedding (SNE). TSNE no longer adopts the distance invariance in linear dimensionality reduction methods such as ISOMAP. TSNE is much better than the linear dimensionality reduction method in the reduction degree of the original dimension. The GWO algorithm, which is frequently used in engineering re-search, has the advantages of a simple model, great generalization capability, and good op

关键词： Support vector machines

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SKE-MSA: Enhancing Representation Learning with VAD Lexicon for Multimodal Sentiment Analysis

SKE-MSA: Enhancing Representation Learning with VAD Lexicon ...

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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Yang Yang Xunde Dong Yupeng Qiang Wenjie Si School of Automation Science and Engineering South China University of Technology School of Electrical and Control Engineering Henan University of Urban Construction

ISBN: (数字)9798350368741

ISBN: (纸本)9798350368758

Most existing Multimodal Sentiment Analysis (MSA) models that are enhanced with external sentiment knowledge primarily focus on integrating this knowledge during the multimodal fusion stage, while overlooking its potential benefits during the multimodal representation learning process. In this study, we propose a Sentiment Knowledge-Enhanced Multimodal Sentiment Analysis (SKE-MSA) framework, which incorporates an external sentiment knowledge base—the VAD lexicon—to enhance MSA. SKE-MSA introduces the Sentiment-aware Encoding Loss (SAE_Loss), designed to leverage external sentiment knowledge to guide the representation learning of multimodal encoders. Building on this, we extract both common and unique features of multimodal representations and subsequently predict sentiment intensity based on these features. Extensive experiments conducted on three MSA datasets demonstrate the competitive performance of SKE-MSA.

关键词： Representation learning Sentiment analysis Knowledge based systems Buildings Lexicon Signal processing Feature extraction Encoding Data mining Speech processing

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Exponentially convergent distributed Nash equilibrium seeking for constrained aggregative games

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Autonomous Intelligent Systems 2022年第1期2卷 71-78页

作者： Shu Liang Peng Yi Yiguang Hong Kaixiang Peng Department of Control Science&Engineering Tongji UniversityShanghai200092China Shanghai Research Institute for Intelligent Autonomous Systems Shanghai201210China School of Automation and Electrical Engineering University of Science and Technology BeijingBeijing100083China

Distributed Nash equilibrium seeking of aggregative games is investigated and a continuous-time algorithm is *** algorithm is designed by virtue of projected gradient play dynamics and aggregation tracking dynamics,and is applicable to games with constrained strategy sets and weight-balanced communication *** key feature of our method is that the proposed projected dynamics achieves exponential convergence,whereas such convergence results are only obtained for non-projected dynamics in existing works on distributed optimization and equilibrium *** examples illustrate the effectiveness of our methods.

关键词： Distributed algorithms Aggregative games Projected gradient play Weight-balanced graph Exponential convergence

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Adversarially Robust Reinforcement Learning for Urban Traffic Signal control 5

Adversarially Robust Reinforcement Learning for Urban Traffi...

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5th IEEE International Conference on Technology, Informatics, Management, engineering and Environment, TIME-E 2024

作者： Hamzah, Muhammad Shafly Joelianto, Endra Sutarto, Herman Yoseph Putri, Adiyana Institut Teknologi Bandung Instrumentation and Control Master Program Bandung Indonesia Institut Teknologi Bandung Instrumentation Control and Automation Research Group Bandung Indonesia PT. Pusat Riset Energi Department of Intelligent System Bandung Indonesia Institut Teknologi Bandung Doctoral Program of Engineering Physics Bandung Indonesia

ISBN: (纸本)9798350364743

Urban traffic congestion presents critical challenges, resulting in delays, environmental pollution, and significant economic costs. While traditional traffic control methods, such as fixed-time and adaptive systems, have been widely implemented, they often fail in unpredictable conditions, particularly when confronted with noisy or inaccurate data. This research proposes a robust reinforcement learning (RL) solution for traffic signal control using the RADIAL-DQN (Robust Adversarial Loss DQN) algorithm. Integrating adversarial training enhances the system's robustness to real-world uncertainties. Evaluations conducted using a SUMO traffic simulation show that the robust agent produced an increase of only 60.71% in queue length under a projected gradient descent (PGD) adversarial attack, outperforming standard RL agents, which experienced an 89% increase. These results demonstrate the potential of robust RL to improve both the reliability and scalability of urban traffic control systems. © 2024 IEEE.

关键词： Traffic signals

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Optimal Secure control for Cyber Physical Systems Against Joint Sensor and Actuator Attacks 6

Optimal Secure Control for Cyber Physical Systems Against Jo...

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6th International Conference on Electronic engineering and Informatics, EEI 2024

作者： Li, Xiao-Meng Li, Jinyan Cheng, Zhijian School of Mechanical and Electrical Engineering Guangzhou University Guangzhou510006 China School of Automation Guangdong University of Technology Guangdong Hong Kong Joint Laboratory for Intelligent Decision and Cooperative Control Guangzhou510006 China

ISBN: (纸本)9798350353594

This paper aims to investigate the security control problem of CPSs subject to joint sensor and actuator attacks. Different from most existing results, a more realistic situation for the CPSs is proposed by considering joint sensor and actuator attacks, process noise, and measurement noise. To identify joint attacks on sensor and actuator, an effective detector is developed. Based on the detection results, the optimal secure control strategy is designed. Compared with the tradition control method, this paper designed control scheme can ensure that the CPSs achieve optimal performance when the sensor unit and actuator unit are attacked simultaneously. The efficacy of the developed optimal secure control strategy is testified through a simulation example. © 2024 IEEE.

关键词： Cyber attacks

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Adaptive Finite-Time Reconfiguration control for Spacecraft Formation with Collision Avoidance

Adaptive Finite-Time Reconfiguration Control for Spacecraft ...

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International Conference on Guidance, Navigation and control, ICGNC 2020

作者： Yang, Xicheng Zong, Qun Zhang, Xiuyun Liu, Wenjing School of Electrical Automation and Information Engineering Tianjin University Tianjin300072 China Beijing Institute of Control Engineering Science and Technology on Space Intelligent Control Laboratory Beijing100190 China

ISBN: (纸本)9789811581540

This paper studies formation reconstruction problem for multi-spacecraft with collision avoidance. Firstly, the virtual velocity for desired formation is designed based on the artificial potential field (APF) approach. An adaptive potential field for collision avoidance is proposed to enable the spacecraft to adjust the repulsion force automatically when implementing the collision avoidance strategy. An auxiliary function is introduced to solve the local minimum problem without destabilizing the multiple spacecraft system. Then, we propose a new adaptive finite-time reconfiguration controller, which can achieve fully distributed formation under collision avoidance. The stability of the multiple spacecraft system is proved by Lyapunov analysis. Simulation results verify the proposed strategy can accomplish the target of formation reconstruction successfully. © 2022, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Collision avoidance

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Short-term load forecasting for buildings based on dynamic weighted edRVFL model

Short-term load forecasting for buildings based on dynamic w...

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2024 China automation Congress, CAC 2024

作者： Xie, Junwei Yuan, Meng Xu, Zhezhuang Liu, Chi Xia, Yuxiong College of Electrical Engineering and Automation Fuzhou University Key Laboratory of Industrial Automation Control Technology and Information Processing Education Department of Fujian Province Fuzhou350000 China Fujian Huading Intelligent Manufacturing Technology Co. Ltd. Fuzhou350000 China

ISBN: (纸本)9798350368604

Short-term load forecasting of buildings plays a key role in demand management, however, when dealing with massive data, the prevalent practice of training and testing the system as a whole overlooks pattern variations inside data and potentially limits predictive performance. To address this issue, this paper proposes an ensemble deep random vector functional link (edRVFL) model that combines adaptive ensemble clustering and dynamic weighting strategy for load forecasting of an industrial building. Firstly, the adaptive ensemble clustering that combines ordering points to identify the clustering structure and K nearest neighbor is employed to determine the electricity load usage patterns. Subsequently, the improved particle swarm optimization algorithm is applied to adjust the weights of load curves in different typical day scenarios. Finally, a dynamic weighting strategy is designed to dynamically assign model weights to two clusters, where one matches the type of predicted load pattern for the day being forecasted and another for the cluster of the previous day. The experiment in a real building verifies the effectiveness of the proposed algorithm, which has higher prediction accuracy than other comparison algorithms including one-week interval and different ensemble clustering. © 2024 IEEE.

关键词： Particle swarm optimization (PSO)

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Multi-Domain Optimization Design for a Bimodal Linear Ultrasonic Motor with Double Driving Feet 26

Multi-Domain Optimization Design for a Bimodal Linear Ultras...

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26th International Conference on electrical Machines and Systems, ICEMS 2023

作者： Li, Xiang Ding, Yuan Li, Yangze Hefei University of Technology School of Electrical Engineering and Automation Hefei China Hefei No.1 High School Department of Sino-US Curriculum Program Hefei China

ISBN: (纸本)9798350317589

In this paper, an improved optimization design is conducted for a bimodal linear ultrasonic motor with respect to a set of multi-domain design parameters and constraints. Furthermore, the contact-based operating condition of the stator is considered such that the output performance parameters can be accurately evaluated enabling their use in a performance-based objective function for the multi-domain design optimization. The proposed methodology with respect to the geometry-mechanical-electrical multi-domain optimization parameters is verified by the optimization design of a bimodal linear ultrasonic motor with double driving feet. © 2023 IEEE.

关键词： Genetic algorithms

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Stable and Safe Navigation Scheme for Mobile Robots Under Moving Obstacle Presence

Stable and Safe Navigation Scheme for Mobile Robots Under Mo...

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Robotics, automation and Artificial Intelligence (RAAI), IEEE International Conference on

作者： Michael A. Gunarso Tua A. Tamba Dept. of Electrical Engineering Center for Control Automation and Systems Engineering Faculty of Engineering Technology Parahyangan Catholic University Bandung Indonesia

ISBN: (数字)9798331520038

ISBN: (纸本)9798331520045

This paper reports a controller design methodology for a differential drive wheeled mobile robot (DDWMR) model which considers both safety and stability properties of the robot's operation. The proposed methodology first constructs a stabilizing controller using control Lyapunov Function (CLF) concept and then generates a polynomial function-type reference trajectory to seamlessly connect the initial and final poses of the DDWMR. Subsequently, a control Barrier Function (CBF) based scheme is used to ensure the safety of the DDWMR movement in avoiding moving obstacles while driving on the constructed reference trajectory. By the proposed CLF-CBF integration, the proposed approach offers an efficient solution for autonomous navigation of DDWMR in the presence of moving obstacles while also addresses the challenges posed by its nonholonomic constraint. The effectiveness of the proposed approach is shown through simulations which demonstrate the robot's ability to perform safe and stable collision-free movement and navigation.

关键词： Navigation Robot sensing systems Stability analysis Polynomials Trajectory Safety Mobile robots Collision avoidance Lyapunov methods Autonomous robots

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Recent Developments in Event-Triggered control of Nonlinear Systems:An Overview

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无人系统（英文） 2023年第1期11卷 27-56页

作者： Pengpeng Zhang Tengfei Liu Jie Chen Zhong-Ping Jiang Department of Control Science & Engineering Frontiers Science Center for Intelligent Autonomous SystemsTongji UniversityShanghai 201804P.R.China State Key Laboratory of Synthetical Automation for Process Industries Northeastern UniversityShenyang 110819P.R.China Department of Electrical and Computer Engineering New York University370 Jay StreetBrooklynNY 11201USA

Event-triggered control is a most popular paradigm for transferring feedback information in an economical"as needed"*** study of event-triggered control can be traced back to the *** significant advances on the topic of control over networks and the topic of nonlinear control systems over the last two decades,event-triggered control has quickly emerged as a major theoretical subject in control *** of event-triggered control are wide-spread ranging from embedded control systems and industrial control processes to unmanned systems and cyber-physical transportation *** this paper,we first review developments in the synthesis of event-triggered sampling *** event triggering mechanisms,such as static event trigger,dynamic event trigger,time-regularized event trigger,and event trigger with positive threshold offsets,are systematically ***,we study how to design a stabilizing controller that is robust with respect to the sampling ***,we review some recent results in the directions of self-triggered control,event-triggered tracking control and cooperative control,and event-triggered control of stochastic systems and partial differential equation *** applications of event-triggered control are also discussed.

关键词： Event-triggered control event-triggered sampling mechanism event-triggered controller

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