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Resilient sliding mode control for 2D CPss under denial-of-service attacks

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science China(Information sciences) 2024年第6期67卷 262-278页

作者： Lingling LI Rongni YANG Zhiguang FENG Ligang wu College of intelligent systems science and engineering Harbin Engineering University school of Control science and engineering Shandong University school of Astronautics Harbin Institute of Technology

This study addresses the resilient sliding mode control(smC) problem for two-dimensional cyber-physical systems(2D CPss) characterized by the Roesser model under denial-of-service attack(DosA), which can interfere with signal transmission over the communication network. First, the Dos-A model is established by introducing constraints on the Do s frequency and duration. Then, based on active or silent attack situations, the considered system is described as a switched mode. Furthermore, together with Lyapunov theory, the average dwell time technique is employed to deduce sufficient criteria that assure the existence of the desired sliding mode controller. Finally, verification examples are provided to show the validity of the established smC scheme.

关键词： two-dimensional systems cyber-physical systems denial-of-service attack resilient sliding mode control

Detection of Al, mg, Ca, and Zn in copper slag by LIBs combined with calibration curve and PLsR methods

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Plasma science and Technology 2024年第2期26卷 132-138页

作者：贾军伟刘志峰潘从元薛骅骎 school of mechanical engineering Hefei University of TechnologyHefei 230009People's Republic of China Hefei Gstar intelligent Control Technical Co.Ltd. Hefei 230088People's Republic of China Anhui Industrial Combustion monitoring Technology and Equipment engineering Laboratory Hefei 230088People's Republic of China

The precise measurement of Al, mg, Ca, and Zn composition in copper slag is crucial for effective process control of copper pyrometallurgy. In this study, a remote laser-induced breakdown spectroscopy(LIBs) system was utilized for the spectral analysis of copper slag samples at a distance of 2.5 m. The composition of copper slag was then analyzed using both the calibration curve(CC) method and the partial least squares regression(PLsR) analysis method based on the characteristic spectral intensity ratio. The performance of the two analysis methods was gauged through the determination coefficient(R^(2)), average relative error(ARE), root mean square error of calibration(RmsEC), and root mean square error of prediction(RmsEP). The results demonstrate that the PLsR method significantly improved both R^(2) for the calibration and test sets while reducing ARE, RmsEC, and RmsEP by 50% compared to the CC method. The results suggest that the combination of LIBs and PLsR is a viable approach for effectively detecting the elemental concentration in copper slag and holds potential for online detection of the elemental composition of high-temperature molten copper slag.

关键词： copper slag element remote LIBs PLsR

A LEsO Based Backstepping Controller Considering Coal seam Hardness for Rotary speed in Coal mine Tunnel Drilling Process

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Journal of systems science & Complexity 2024年第5期37卷 1789-1808页

作者： CHEN Luefeng LIU Xiao wu min LU Chengda PEDRYCZ Witold HIROTA Kaoru school of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and intelligent Automation for Complex systems engineering Research Center of intelligent Technology for Geo-Exploration Ministry of Education Department of Electrical and Computer engineering University of Alberta The Tokyo Institute of Technology

In the process of coal mine drilling, controlling the rotary speed is important as it determines the efficiency and safety of drilling. In this paper, a linear extended state observer(LEsO) based backstepping controller for rotary speed is proposed, which can overcome the impact of changes in coal seam hardness on rotary speed. Firstly, the influence of coal seam hardness on the drilling rig's rotary system is considered for the first time, which is reflected in the numerical variation of load torque, and a dynamic model for the design of rotary speed controller is established. Then an LEsO is designed to observe the load torque, and feedforward compensation is carried out to overcome the influence of coal seam hardness. Based on the model of the compensated system, a backstepping method is used to design a controller to achieve tracking control of the rotary speed. Finally, the effectiveness of the controller designed in this paper is demonstrated through simulation and field experiments, the steady-state error of the rotary speed in field is 1 r/min, and the overshoot is reduced to 5.8%. This greatly improves the stability and security, which is exactly what the drilling process requires.

关键词： Backstepping extended state observer hydraulic tunnel drilling machine rotary speed

Hybrid Dynamic Variables-Dependent Event-Triggered Fuzzy model Predictive Control

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IEEE/CAA Journal of Automatica sinica 2024年第3期11卷 723-733页

作者： Xiongbo Wan Chaoling Zhang Fan Wei Chuan-Ke Zhang min wu IEEE the school of Automation China University of Geosciencesthe Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systemsand the Engineering Research Center of Intelligent Technology for Geo-ExplorationMinistry of EducationWuhan 430074China

This article focuses on dynamic event-triggered mechanism(DETm)-based model predictive control(mPC) for T-s fuzzy systems.A hybrid dynamic variables-dependent DETm is carefully devised,which includes a multiplicative dynamic variable and an additive dynamic *** addressed DETm-based fuzzy mPC issue is described as a “min-max” optimization problem(OP).To facilitate the co-design of the mPC controller and the weighting matrix of the DETm,an auxiliary OP is proposed based on a new Lyapunov function and a new robust positive invariant(RPI) set that contain the membership functions and the hybrid dynamic variables.A dynamic event-triggered fuzzy mPC algorithm is developed accordingly,whose recursive feasibility is analysed by employing the RPI *** the designed controller,the involved fuzzy system is ensured to be asymptotically *** examples show that the new DETm and DETm-based mPC algorithm have the advantages of reducing resource consumption while yielding the anticipated performance.

关键词： Dynamic event-triggered mechanism(DETm) hybrid dynamic variables model predictive control(mPC) robust positive invariant(RPI)set T-s fuzzy systems

Adaptive neural network control of a 2-DOF helicopter system considering input constraints and global prescribed performance

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science China(Information sciences) 2024年第7期67卷 224-239页

作者： Zhijia ZHAO Jiale wu Zhijie LIU We HE C.L.Philip CHEN school of mechanical and Electrical engineering Guangzhou University school of Intelligence science and Technology and Key Laboratory of intelligent Bionic Unmanned systems of ministry of Education University of Science and Technology Beijing school of Computer science and engineering South China University of Technology Pazhou Lab

In this study, an adaptive neural network(NN) control is proposed for nonlinear two-degree-offreedom(2-DOF) helicopter systems considering the input constraints and global prescribed ***, radial basis function NN(RBFNN) is employed to estimate the unknown dynamics of the helicopter system. second, a smooth nonaffine function is exploited to approximate and address nonlinear constraint functions. subsequently, a new prescribed function is proposed, and an original constrained error is transformed into an equivalent unconstrained error using the error transformation and barrier function transformation methods. The analysis of the established Lyapunov function proves that the controlled system is globally uniformly bounded. Finally, the simulation and experimental results on a constructed Quanser's test platform verify the rationality and feasibility of the proposed control.

关键词： adaptive NN control 2-DOF helicopter global prescribed performance input constraints

Highly Aligned Graphene Aerogels for multifunctional Composites

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Nano-micro Letters 2024年第6期16卷 276-342页

作者： Ying wu Chao An Yaru Guo Yangyang Zong Naisheng Jiang Qingbin Zheng Zhong‑Zhen Yu Beijing Advanced Innovation Center for materials Genome engineering School of Materials Science and EngineeringUniversity of Science and Technology BeijingBeijing 100083People’s Republic of China Institute of materials intelligent Technology Liaoning Academy of MaterialsShenyang 110004People’s Republic of China school of science and engineering The Chinese University of Hong KongShenzhenShenzhenGuangdong 518172People’s Republic of China state Key Laboratory of Organic‑Inorganic Composites College of Materials Science and EngineeringBeijing University of Chemical TechnologyBeijing 100029People’s Republic of China

stemming from the unique in-plane honeycomb lattice structure and the sp^(2)hybridized carbon atoms bonded by exceptionally strong carbon–carbon bonds,graphene exhibits remarkable anisotropic electrical,mechanical,and thermal *** maximize the utilization of graphene’s in-plane properties,pre-constructed and aligned structures,such as oriented aerogels,films,and fibers,have been *** unique combination of aligned structure,high surface area,excellent electrical conductivity,mechanical stability,thermal conductivity,and porous nature of highly aligned graphene aerogels allows for tailored and enhanced performance in specific directions,enabling advancements in diverse *** review provides a comprehensive overview of recent advances in highly aligned graphene aerogels and their *** highlights the fabrication methods of aligned graphene aerogels and the optimization of alignment which can be estimated both qualitatively and *** oriented scaffolds endow graphene aerogels and their composites with anisotropic properties,showing enhanced electrical,mechanical,and thermal properties along the alignment at the sacrifice of the perpendicular *** review showcases remarkable properties and applications of aligned graphene aerogels and their composites,such as their suitability for electronics,environmental applications,thermal management,and energy *** and potential opportunities are proposed to offer new insights into prospects of this material.

关键词： Highly aligned graphene aerogels Quantitative characterization of alignment multifunctional composites Anisotropic properties multifunctional applications

Contact stress Reliability Analysis model for Cylindrical Gear with Circular Arc Tooth Trace Based on an Improved metamodel

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Computer modeling in engineering & sciences 2024年第7期140卷 593-619页

作者： Qi Zhang Zhixin Chen Yang wu Guoqi Xiang Guang Wen Xuegang Zhang Yongchun Xie Guangchun Yang school of intelligent manufacturing&Automobile Chengdu Industrial Vocational Technical CollegeChengdu610218China school of intelligent manufacturing Panzhihua UniversityPanzhihua617000China school of Electrical engineering Chengdu Industry and Trade CollegeChengdu601165China school of mechanical engineering Sichuan UniversityChengdu601165China Chengdu Technological University Chengdu611730China

Although there is currently no unified standard theoretical formula for calculating the contact stress of cylindrical gears with a circular arc tooth trace(referred to as CATT gear),a mathematical model for determining the contact stress of CATT gear is essential for studying how parameters affect its contact stress and building the contact stress limit state equation for contact stress reliability *** this study,a mathematical relationship between design parameters and contact stress is formulated using the *** enhance the model’s accuracy,we propose a new hybrid algorithm that merges the genetic algorithm with the Quantum Particle swarm optimization algorithm,leveraging the strengths of ***,the“parental inheritance+self-learning”optimization model is used to fine-tune the Krigingmetamodel’s *** this,amathematicalmodel for calculating the contact stress of Variable Hyperbolic Circular-Arc-Tooth-Trace(VH-CATT)gears using the optimized Kriging model was *** then examined how different gear parameters affect the VH-CATT gears’contact *** simulation results show:(1)Improvements in R2,RmsE,and RmAE.R2 rose from0.9852 to 0.9974(a 1.22%increase),nearing 1,suggesting the optimized Kriging metamodel’s global error is ***,RmsE dropped from3.9210 to 1.6492,a decline of 57.94%.The global error of the GA-IQPsO-Kriging algorithm was also reduced,with RmAE decreasing by 58.69%from 0.1823 to 0.0753,showing the algorithm’s enhanced *** a comparison of ten experimental groups selected randomly,the GA-IQPsO-Kriging and FEm-based contact analysis methods were used to measure contact *** revealed a maximum error of 12.11667 mPA,which represents 2.85%of the real value.(2)several factors,including the pressure angle,tooth width,modulus,and tooth line radius,are inversely related to contact *** descending order of their impact on the contact stress is:tooth line radius>modulus

关键词： CATT gear contact stress finite element method metamodel hybrid algorithm influencing factors

Thin paints for durable and scalable radiative cooling

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Journal of Energy Chemistry 2024年第3期90卷 176-182,I0006页

作者： shanquan Liu Fei Zhang Xingyu Chen Hongjie Yan Wei Chen meijie Chen school of Energy science and engineering Central South UniversityChangsha 410083HunanChina school of intelligent manufacturing Ecosystem Xi'an Jiaotong-Liverpool UniversitySuzhou 215400JiangsuChina

Passive daytime radiative cooling(PDRC) is environment-friendly without energy input by enhancing the coating's solar reflectance(R_(solar)) and thermal emittance(ε_(LWIR)) in the atmosphere's long-wave infrared transmission ***,high R_(solar) is usually achieved by increasing the coating's thickness,which not only increases materials' cost but also impairs heat ***,the desired high R_(solar) is vulnerable to dust pollution in the *** this work,a thin paint was designed by mixing hBN plates,PFOTs,and IPA. R_(solar)=0.963 and ε_(LWIR)=0.927 was achieved at a thickness of 150 μm due to the high backscattering ability of scatters.A high through-plane thermal conductivity(~1.82 W m^(-1) K^(-1)) also can be *** addition,the porous structure coupled with the binder PFOTs resulted in a contact angle of 154°,demonstrating excellent durability under dust *** experiments showed that the thin paint can obtain a 2.3℃ lower temperature for sub-ambient cooling than the reference PDRC coating in the ***,the above-ambient heat dissipation performance can be enhanced by spraying the thin paint on a 3D heat sink,which was 15.7℃ lower than the reference 1D structure,demonstrating excellent performance for durable and scalable PDRC applications.

关键词： Radiative cooling Heat dissipation solar reflectance Thermal emittance Contact angle

High-performance formaldehyde prediction for indoor air quality assessment using time series deep learning

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Building simulation 2024年第3期17卷 415-429页

作者： Liu Lu Xinyu Huang Xiaojun Zhou Junfei Guo Xiaohu Yang Jinyue Yan school of Human settlements and Civil engineering Xi’an Jiaotong UniversityXi’anChina Department of Building Environment and Energy engineering The Hong Kong Polytechnic UniversityKowloonHong KongChina Future Energy Profile School of BusinessSocietyand EngineeringMälardalen UniversityVästeråsSweden

Indoor air pollution resulting from volatile organic compounds(VOCs),especially formaldehyde,is a significant health concern needed to predict indoor formaldehyde concentration(Cf)in green intelligent building *** study develops a thermal and wet coupling calculation model of porous fabric to account for the migration of formaldehyde molecules in indoor air and cotton,silk,and polyester fabric with heat flux in Harbin,Beijing,Xi’an,shanghai,Guangzhou,and Kunming,*** time-by-time indoor dry-bulb temperature(T),relative humidity(RH),and Cf,obtained from verified simulations,were collated and used as input data for the long short-term memory(LsTm)of the deep learning model that predicts indoor multivariate time series Cf from the secondary source effects of indoor fabrics(adsorption and release of formaldehyde).The trained LsTm model can be used to predict multivariate time series Cf at other emission times and *** LsTm-based model also predicted Cf with mean absolute percentage error(mAPE),symmetric mean absolute percentage error(smAPE),mean absolute error(mAE),mean square error(msE),and root mean square error(RmsE)that fell within 10%,10%,0.5,0.5,and 0.8,*** addition,the characteristics of the input dataset,model parameters,the prediction accuracy of different indoor fabrics,and the uncertainty of the data set are *** results show that the prediction accuracy of single data set input is higher than that of temperature and humidity input,and the prediction accuracy of LsTm is better than recurrent neural network(RNN).The method’s feasibility was established,and the study provides theoretical support for guiding indoor air pollution control measures and ensuring human health and safety.

关键词： multivariate time series formaldehyde concentration deep learning heat-humidity coupling mass transfer secondary source effect