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A Population Initialization Method Based on Similarity and Mutual information in Evolutionary Algorithm for Bi-Objective Feature Selection

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ACM Transactions on Evolutionary Learning and Optimization 2024年第3期4卷 1-21页

作者： Cai, Xu Xue, Yu Artificial Intelligence Research Institute School of Information and Control Engineering China University of Mining and Technology Xuzhou China School of Software Nanjing University of Information Science and Technology Nanjing China

Feature selection (FS) is an important data pre-processing technique in classification. It aims to remove redundant and irrelevant features from the data, which reduces the dimensionality of data and improves the performance of the classifier. Thus, FS is a bi-objective optimization problem, and evolutionary algorithms (EAs) have been proven to be effective in solving bi-objective FS problems. EA is a population-based metaheuristic algorithm, and the quality of the initial population is an important factor affecting the performance of EA. An improper initial population may negatively affect the convergence speed of the EA and even make the algorithm fall into the local optimum. In this article, we propose a similarity and mutual information-based initialization method, named SMII, to improve the quality of the initial population. This method determines the distribution of initial solutions based on similarity and shields features with high correlation to the selected features according to mutual information. In the experiment, we embed SMII, the latest four initialization methods, and a traditional random initialization method into NSGA-II and compared their performance on 15 public datasets. The experimental results show that SMII performs best on most datasets and can effectively improve the performance of the algorithm. Moreover, we compare the performance of two other EAs before and after embedding SMII on 15 datasets, and the results further prove that the proposed method can effectively improve the search capability of the EA for FS. © 2024 Copyright held by the owner/author(s).

关键词： Evolutionary algorithms

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Adaptive control of a Flexible Manipulator With Unknown Hysteresis and Intermittent Actuator Faults

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IEEE/CAA Journal of Automatica Sinica 2025年第1期12卷 148-158页

作者： Shouyan Chen Weitian He Zhijia Zhao Yun Feng Zhijie Liu Keum-Shik Hong School of Mechanical and Electrical Engineering Guangzhou University the School of Control Science and Engineering Shandong University IEEE the College of Electrical and Information Engineering Hunan University the National Engineering Research Center for Robot Visual Perception and Control Technology Hunan University the School of Intelligence Science and Technology University of Science and Technology Beijing (USTB) the Institute for Future the School of AutomationQingdao University the School of Mechanical Engineering Pusan National University

In this study, we consider a single-link flexible manipulator in the presence of an unknown Bouc-Wen type of hysteresis and intermittent actuator faults. First, an inverse hysteresis dynamics model is introduced, and then the control input is divided into an expected input and an error compensator. Second,a novel adaptive neural network-based control scheme is proposed to cancel the unknown input hysteresis. Subsequently,by modifying the adaptive laws and local control laws, a fault-tolerant control strategy is applied to address uncertain intermittent actuator faults in a flexible manipulator system. Through the direct Lyapunov theory, the proposed scheme allows the state errors to asymptotically converge to a specified interval. Finally,the effectiveness of the proposed scheme is verified through numerical simulations and experiments.

关键词： Adaptive control flexible manipulator intermittent actuator faults inverse hysteresis dynamics vibration control

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Decoupling control of Six-Pole Axial-Radial Active Magnetic Bearing Based on Improved Linear Active Disturbance Rejection Optimized by Least Square Support Vector Machine

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Progress in Electromagnetics Research B 2024年 106卷 73-84页

作者： Wang, Zhen Liu, Gai Ju, Jintao Zhu, Huangqiu School of Electrical and Information Engineering Jiangsu University Zhenjiang212013 China School of Electrical and Control Engineering Xuzhou University of Technology Xuzhou221018 China School of Electrical and Information Engineering Changzhou Institute of Technology Changzhou213032 China

To improve the coupling problem between radial degrees of freedom in six-pole axialradial active magnetic (AR-AMB), a decoupling control method based on an improved linear active disturbance rejection decoupling control strategy optimized by the least square support vector machine (LSSVM-ILADRC) is proposed. Firstly, the structure and working principle of the six-pole AR-AMB are introduced, and the mathematical model of suspension force is derived. Secondly, cascaded linear extended state observers (LESOs) are used to estimate the disturbance in degrees of freedom step by step, with LESO1 providing an initial estimate of the total disturbance, and LESO2 estimating and compensating for the difference between the initial estimate and the actual disturbance. The regression prediction function of LSSVM is employed to enhance the response speed and estimation accuracy of the LESO to the disturbance. Finally, the simulation and experimental research show that the proposed LSSVM-ILADRC decoupling control method has better decoupling performance and anti-interference performance than the ILADRC decoupling control method. © (2024), Electromagnetics Academy. All rights reserved.

关键词： Support vector machines

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SIE: infrared and visible image fusion based on scene information embedding

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Multimedia Tools and Applications 2025年第3期84卷 1463-1488页

作者： Geng, Yingnan Diao, Weixuan Zhao, Yan Electrical and Information Engineering Changchun Institute of Technology Kuanping Road Jilin Changchun130103 China Information and Control Engineering Jilin Institute of Chemical Technology Chengde Street Jilin Jilin132022 China College of Communication Engineering Jilin University Qianjin Street Jilin Changchun130015 China

In this article, we proposed an infrared and visible image fusion method based on scene information embedding, which is to obtain an fused image with high-quality target information such as pedestrian crossing, vehicles, signs and rich background texture information. First, scene information is described, so as to effectively represent highlight salient target for infrared image and texture detail for visible image. Second, we embed this scene information into multi-scale fusion framework to fuse these information and reconstruct the desired fused image. It is worth noting that scene information is constructed by pre-trained convolutional neural network, where not only information extracted by convolutional neural network is fully utilized, but also training complexity is not increased. In datasets LLVIP, MSRS, M3FD,TNO, RoadScene and elctricity1, the superiority of our proposed algorithm SIE over state-of-the-arts is demonstrated by subjective evaluation and objective evaluation including information entropy (EN), standard deviation (SD), spatial frequency (SF), average gradient (AG), sum of the correlations of differences (SCD) and mutual information (MI) metrics. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.

关键词： Image fusion

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Data-driven output regulation control for constrained linear systems

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Science China(information Sciences) 2025年第3期68卷 338-353页

作者： Chaoyu XIA Yi DONG Chaoli WANG Shengyuan XU Shanghai Research Institute for Intelligent Autonomous Systems Tongji University College of Electronic and Information Engineering Shanghai Research Institute for Intelligent Autonomous SystemsTongji University Department of Control Science and Engineering School of Optical-Electrical and Computer EngineeringUniversity of Shanghai for Science and Technology Department of Automation Nanjing University of Science and Technology

This study introduces a data-driven approach for state and output feedback control addressing the constrained output regulation problem in unknown linear discrete-time systems. Our method ensures effective tracking performance while satisfying the state and input constraints, even when system matrices are not available. We first establish a sufficient condition necessary for the existence of a solution pair to the regulator equation and propose a data-based approach to obtain the feedforward and feedback control gains for state feedback control using linear programming. Furthermore, we design a refined Luenberger observer to accurately estimate the system state, while keeping the estimation error within a predefined set. By combining output regulation theory, we develop an output feedback control strategy. The stability of the closed-loop system is rigorously proved to be asymptotically stable by further leveraging the concept of λ-contractive sets.

关键词： output regulation constrained system data-driven.

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Power equipment target detection algorithm based on improved YOLOV7 4

Power equipment target detection algorithm based on improved...

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4th International Conference on Machine Learning and Computer Application, ICMLCA 2023

作者： Yang, Jinglong Ji, Xiu Wu, Peng Li, Mingge School of Information and Control Engineering Jilin Institute of Chemical Technology Jilin China School of Electrical and Information Engineering Changchun Institute of Technology Changchun China

ISBN: (数字)9781510680265

ISBN: (纸本)9781510680258

Aiming at some practical problems such as low inspection efficiency and high false detection rate of traditional manual transmission lines, we introduce an enhanced YOLOV7-based algorithm for infrared insulator target detection. The algorithm uses K-Means ++ clustering algorithm to regenerate the anchor frame on the self-made infrared insulator data set, which makes the algorithm converge faster. The algorithm substitutes the original YOLOV7 backbone with Efficientformerv2 to simplify the backbone network. Additionally, it eliminates redundant information from the feature map by incorporating the GhostConv module in the feature fusion network, and introducing the attention mechanism called SimAM. WIoU is used as the loss function of the improved model. Experiments on self-made infrared insulator data set show that when compared to the initial YOLOV7 algorithm, the refined algorithm demonstrates notable enhancements across multiple performance indicators. Particularly, the mAP@0.5 metric has seen a substantial improvement of 5.2%, elevating it to an impressive 98.3%. Concurrently, the number of parameters has experienced a significant reduction of 43.5%, dwindling to 20.5 million, and the computational workload has been markedly lowered by 66.2% to 35.0 GFPLOS. © 2024 SPIE.

关键词： Signal detection

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Resilience assessment and optimization method of city road network in the post-earthquake emergency period

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Earthquake engineering and engineering Vibration 2024年第3期23卷 765-779页

作者： Wang Haoran Xiao Jia Li Shuang Zhai Changhai Key Lab of Structures Dynamic Behavior and Control of the Ministry of Education Key Lab of Smart Prevention and Mitigation of Civil Engineering Disasters of the Ministry of Industry and Information TechnologyHarbin Institute of TechnologyHarbin 150090China

The post-earthquake emergency period,which is a sensitive time segment just after an event,mainly focuses on saving life and restoring social *** improve the seismic resilience of city road networks,a resilience evaluation method used in the post-earthquake emergency period is *** road seismic damage index of a city road network can consider the influence of roads,bridges and buildings along the roads,*** road capacity after an earthquake.A function index for a city road network is developed,which reflects the connectivity,redundancy,traffic demand and traffic function of the *** optimization model for improving the road repair order in the post-earthquake emergency period is also developed according to the resilience evaluation,to enable decision support for city emergency management and achieve the best seismic resilience of the city road *** optimization model is applied to a city road network and the results illustrate the feasibility of the resilience evaluation and optimization method for a city road network in the post-earthquake emergency period.

关键词： city road network post-earthquake emergency period traffic demand resilience evaluation optimization model

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Study on Dry Electrical Discharge Assisted Grinding of SiCp/Al Composite

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Chinese Journal of Mechanical engineering 2025年第1期38卷 106-118页

作者： Yanjun Lu Yuming Huang Xiaobu Liu Rong Cheng Shunda Zhan Guangdong Provincial Key Laboratory of Micro/Nano Optomechatronics Engineering College of Mechatronics and Control EngineeringShenzhen UniversityShenzhen 518060China School of Intelligent Manufacturing and Equipment Shenzhen Institute of Information TechnologyShenzhen 518172China

SiC-reinforced aluminum matrix(SiCp/Al)composite is widely utilized in the aerospace,automotive,and electronics industries due to the combination of ceramic hardness and metal ***,the significant disparity in properties between SiC particles and the aluminum matrix results in severe tool wear and diminished surface quality during conventional *** study proposes an environmentally friendly and clean dry electrical discharge assisted grinding process as an efficient and low-damage machining method for SiCp/*** experimental platform was set up to study the impact of grinding and discharge process parameters on surface *** study compared the chip formation mechanism and surface quality between dry electrical discharge assisted grinding and conventional grinding,revealing relationships between surface roughness,grinding force,grinding temperature,and related *** results indicate that the proposed grinding method leads to smaller chip sizes,lower grinding forces and temperatures,and an average reduction of 19.2%in surface roughness compared to conventional *** axial,tangential,and normal grinding forces were reduced by roughly 10.5%,37.8%,and 23.0%,*** optimized process parameters were determined to be N=2500 r/min,vf=30 mm/min,a=10μm,E=15 V,f=5000 Hz,dc=80%,resulting in a surface roughness of 0.161μm.

关键词： Dry electrical discharge assisted grinding SiCp/Al composite Surface quality Grinding force Grinding temperature

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Dynamic event-triggered consensus control for nonlinear multi-agent systems under DoS attacks

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Mathematical Biosciences and engineering 2024年第2期21卷 3304-3318页

作者： Wang, Qiushi Ren, Hongwei Peng, Zhiping Huang, Junlin School of Automation Guangdong University of Petrochemical Technology Maoming525000 China School of Information and Control Engineering Jilin Institute of Chemical Technology Jilin132000 China

In this paper, we investigated leader-following consensus control for nonlinear multiagent systems (MASs) experiencing denial-of-service (DoS) attacks. We proposed a distributed control strategy incorporating an adaptive scheme and a state feedback control gain to eliminate the effects of system nonlinear dynamics and uncertainties. In addition, we introduced a dynamic event-triggered control (DETC) to minimize the utilization of communication resources. Finally, we provided simulation results to show the validity of the proposed approach. © 2024 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License.

关键词： Multi agent systems

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Fractional core-based collapse mechanism and structural optimization in complex systems

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Science China(information Sciences) 2023年第9期66卷 168-183页

作者： Shubin SI Changchun LV Zhiqiang CAI Dongli DUAN Jurgen KURTHS Zhen WANG School of Mechanical Engineering Northwestern Polytechnical University Key Laboratory of Industrial Engineering and Intelligent Manufacturing(Ministry of Industry and Information Technology) School of Information and Control Engineering Xi'an University of Architecture and Technology Instiute of Physics Humboldt-University Potsdam Institute for Climate Impact Research

Catastrophic and major disasters in real-world systems ranging from financial markets and ecosystems, often show generic early-warning signals that may indicate a collapse. Hence, understanding the collapse mechanism of a complex network and predicting its process are of uttermost importance. However, these challenges are often hindered by the extremely high dimensionality of the underlying *** present here the concept of the fractional core(F-core) that considers the contribution of the network topology and dynamics to systematically analyze the collapse process in such networks, and encompass a broad range of dynamical systems, from mutualistic ecosystems to regulatory dynamics. We offer testable predictions on the tipping point, and, in particular, prove that the extinction of the maximum F-core of a network is an efficient indicator of whether a system completely collapses. The results show that the death of species or cells in a low-order F-core may improve the average density and have little influence on the tipping point. Generally, the principle of the F-core demonstrates how complex systems collapse and opens an innovative optimization strategy to uncover the optimal structure of systems.

关键词： collapse mechanism tipping point structural optimization complex systems phase transition

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