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Distributed optimization for discrete-time multiagent systems with nonconvex control input constraints and switching topologies

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Chinese Physics B 2021年第12期30卷 283-290页

作者： Xiao-Yu Shen Shuai Su Hai-Liang Hou School of Automation Central South UniversityChangsha 410083China National Engineering Research Center of Rail Transportation Operation and Control System Beijing Jiaotong UniversityBeijing 100044China State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong UniversityBeijing 100044China

This paper addresses the distributed optimization problem of discrete-time multiagent systems with nonconvex control input constraints and switching *** introduce a novel distributed optimization algorithm with a switching mechanism to guarantee that all agents eventually converge to an optimal solution point,while their control inputs are constrained in their own nonconvex *** is worth noting that the mechanism is performed to tackle the coexistence of the nonconvex constraint operator and the optimization gradient *** on the dynamic transformation technique,the original nonlinear dynamic system is transformed into an equivalent one with a nonlinear error *** utilizing the nonnegative matrix theory,it is shown that the optimization problem can be solved when the union of switching communication graphs is jointly strongly ***,a numerical simulation example is used to demonstrate the acquired theoretical results.

关键词： multiagent systems nonconvex input constraints switching topologies distributed optimization

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A Stochastic Bayesian Game for Securing Secondary Frequency control of Microgrids Against Spoofing Attacks with Incomplete Information

IEEE Transactions on Industrial Cyber-Physical Systems

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IEEE Transactions on Industrial Cyber-Physical systems 2024年 2卷 118-129页

作者： Li, Yang Liu, Shichao Zhu, Li Beijing Jiaotong University Frontiers Science Center for Smart High-speed Rail System Beijing100044 China The Department of Electronics OttawaONK1S5B6 Canada Carleton University Department of Electronics OttawaONK1S5B6 Canada Beijing Jiaotong University State Key Laboratory of Rail Traffic Control and Safety Beijing100044 China

While wireless communication has been implemented for the data exchange in the secondary frequency control of microgrids, the wireless links also open doors to spoofing attacks. Most existing game-theoretic approaches on securing control systems of microgrids against wireless spoofing attacks assume complete information. However, the defense scheme under perfect information assumption could lead to severe resource waste and significant detection delay due to the high over-defense rate. In this paper, we design a defense policy generation method for securing microgrids secondary frequency control facing spoofing attacks and incomplete observation. We formulate a multi-stage two-player stochastic Bayesian game (SBG) when the identity of the defender's opponent is uncertain. Furthermore, we propose a posterior identity belief update method, where Bayesian Nash equilibrium (NE) is considered to derive the boundary identity belief. Under the proposed SBG framework, an identity-dependent optimal defense scheme is obtained to simultaneously secure microgrids against potential spoofing attacks and reduce the over-defense rate. Comparison studies show that the proposed SBG-based defense policy can improve defense performance and significantly reduce over-defense rates. © 2023 IEEE.

关键词： Wireless sensor networks

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Improved Kalman Filtering Algorithm Based Multi-Sensor Integration for Silicon Single Crystal Growth Process

Improved Kalman Filtering Algorithm Based Multi-Sensor Integ...

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International Symposium on Autonomous systems (ISAS)

作者： Ruidong Xie Pei Zhu Wenle Ma Zheqi Zhang Yingmin Yi Zheng Guo Key Lab of Manufacturing Equipment of Shaanxi Province Xi’an University of Technology Xi’an China Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xi’an University of Technology Xi’an China

ISBN: (数字)9798350363173

ISBN: (纸本)9798350363180

The study primarily delves into addressing the data filtering challenge inherent in the silicon single crystal growth process by proposing a multi-sensor integrated detection approach. This approach is designed to alleviate the diminished filtering accuracy resulting from the reliance on a single sensor and the conventional Kalman filtering algorithm. By utilizing an enhanced adaptive Kalman filtering algorithm and the maximum likelihood estimation criterion to incorporate the innovation variance directly into the gain calculation of the Kalman filter, dynamic adjustment of the estimation model is achieved while interference from system noise and measurement noise is reduced. Finally, simulation-based comparative experiments between the adaptive and conventional Kalman filtering algorithms are performed. The results show that the performance of the adaptive Kalman filtering algorithm is superior to that of the conventional Kalman filtering algorithm in terms of accuracy and stability when detecting signals from multiple sensors. The research findings furnish dependable data support for refining the decision-making process in crystal growth technology, augmenting the precision and scientific integrity of crystal safety production scheduling and decision-making endeavors.

关键词： Crystal growth Filtering Noise Decision making Crystals Production Filtering algorithms

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Early Forest Fire Detection Based on Deep Learning 3

Early Forest Fire Detection Based on Deep Learning

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3rd International Conference on Industrial Artificial Intelligence, IAI 2021

作者： Li, Mengna Zhang, Youmin Mu, Lingxia Xin, Jing Yu, Ziquan Liu, Han Xie, Guo Xi'an University of Technology Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Shaanxi Xi'an710048 China

ISBN: (纸本)9781665435178

Early fire detection is very important for preventing forest fires. In this paper, a new image-based fire detection algorithm, named as h-EfflcientDet, is proposed to complete the task of early forest fire detection. h-EfflcientDet is based on a popular deep learning approach EfficientDet (scalable and efficient object detection) by replacing the nonlinear activation function swish of the EfficientDet with the hard version of swish and combing also with an efficient feature fusion network BIFPN (bidirectional feature pyramid network), which can improve significantly the efficiency of the fire detection model. The experiment results show that the proposed h-EfficientDet can detect the fire in real-time with the detection speed of 21 FPS. The detection accuracy is up to 98.35% with a low miss detection rate. © 2021 IEEE.

关键词： Fires

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Modeling and Simulation Design of Single Crystal Silicon Growth by Czochralski Method

Modeling and Simulation Design of Single Crystal Silicon Gro...

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Mechatronics Technology and Intelligent Manufacturing (ICMTIM), International Conference on

作者： Ruidong Xie Wenle Ma Zheqi Zhang Pei Zhu Yingmin Yi Key Lab of Manufacturing Equipment of Shaanxi Province Xi’an University of Technology Xi’an China Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xi’an University of Technology Xi’an China

ISBN: (数字)9798350363265

ISBN: (纸本)9798350363272

Due to difficulties in observing crystal state and the high cost of crystal preparation, the teaching of the Czochralski single crystal silicon production is complex. To solve the above problem, a digital twins-inspired virtual simulation system for the growth of single crystal silicon was developed. The 3D models of the single crystal furnace, single crystal silicon rods, and other related objects were created using Blender. The nonlinear model of the single crystal silicon growth process was established based on the heat conduction during crystal growth and geometric deformation. The 3D models were then imported into the web page using ***. The PID control algorithm was used to control the temperature and pulling speed, and finally, the B/S architecture was adopted to design and implement the virtual simulation experiment system for the growth of Czochralski single crystal silicon. The virtual simulation method will help to overcome the shortcomings of on-site experiment teaching and enhance students’ understanding of the entire single crystal silicon preparation process.

关键词： Crystal growth Heating systems Solid modeling Three-dimensional displays PI control Furnaces Education

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Effect of scavenge port angles on flow distribution and performance of swirl-loop scavenging in 2-stroke aircraft diesel engine

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Chinese Journal of Aeronautics 2021年第3期34卷 105-117页

作者： Zheng XU Fenzhu JI Shuiting DING Yunhai ZHAO Yu ZHOU Qi ZHANG Farong DU School of Energy and Power Engineering Beihang UniversityBeijing 100083China Aircraft/Engine Integrated System Safety Beijing Key Laboratory Beihang UniversityBeijing 100083China School of Transportation Science and Engineering Beihang UniversityBeijing 100083China Beijing Key Laboratory for High-efficient Power Transmission and System Control of New Energy Resource Vehicle Beihang UniversityBeijing 100083China

Swirl-Loop Scavenging(SLS) improves the performance of 2-stroke aircraft diesel engine because the involved swirl may not only benefit the scavenging process, but also facilitate the fuel atomization and combustion. The arrangement of scavenge port angles greatly influences incylinder flow distribution and swirl intensity, as well as the performance of the SLS engine. However, the mechanism of the effect and visualization experiment are rarely mentioned in the literature. To further investigate the SLS, Particle Image Velocimetry(PIV) experiment and Computational Fluid Dynamics(CFD) simulation are adopted to obtain its swirl distribution characteristics, and the effect of port angles on scavenging performance is discussed based on engine fired cycle simulation. The results illustrate that Reynolds Stress Turbulence model is accurate enough for in-cylinder flow simulation. Tangential and axial velocity distribution of the flow, as well as the scavenging performance, are mainly determined by geometric scavenge port angles ageom and βgeom . For reinforcement of scavenging on cross-sections and meridian planes, ageomvalue of27° and βgeom value of 60° are preferred, under which the scavenging efficiency reaches as high as 73.7%. Excessive swirl intensity has a negative effect on SLS performance, which should be controlled to a proper extent.

关键词： 2-Stroke Aircraft diesel engine Computational Fluid Dynamics(CFD) Particle Image Velocimetry(PIV) Scavenge port angles Swirl-Loop Scavenging(SLS)

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Anthropogenic Oxygenated Volatile Organic Compounds Dominate Atmospheric Oxidation Capacity and Ozone Production via Secondary Formation of Formaldehyde in the Urban Atmosphere

ACS ES&T Air

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ACS ES&T Air 2025年第6期2卷 1033-1041页

作者： Hongtao Qian Bingye Xu Zhengning Xu Qiaoli Zou Qianxin Zi Hanfei Zuo Fei Zhang Jing Wei Xiangyu Pei WenXin Zhou Lingling Jin Xudong Tian Wenlong Zhao Zhibin Wang State Key Laboratory of Soil Pollution Control and Safety Zhejiang Provincial Key Laboratory of Organic Pollution Process and Control College of Environmental and Resource Sciences Zhejiang University Hangzhou 310058 China Ecological and Environmental Monitoring Center of Zhejiang Province Hangzhou 310012 China；Key Laboratory of Ecological and Environmental Monitoring Forewarning and Quality Control of Zhejiang Province Hangzhou 310012 China Ecological and Environmental Monitoring Center of Zhejiang Province Hangzhou 310012 China State Environmental Protection Key Laboratory of Formation and Prevention of Urban Air Pollution Complex Shanghai Academy of Environmental Sciences Shanghai 200233 China State Key Laboratory of Soil Pollution Control and Safety Zhejiang Provincial Key Laboratory of Organic Pollution Process and Control College of Environmental and Resource Sciences Zhejiang University Hangzhou 310058 China；ZJU-Hangzhou Global Scientific and Technological Innovation Center Zhejiang University Hangzhou 311200 China

Oxygenated volatile organic compounds (OVOCs) play an important role in the photochemical formation of ozone (O3). Comprehensive measurements and chemical box model analysis conducted in Hangzhou, China reveal that the formation of O3is strongly attributed to the increased atmospheric oxidation capacity (AOC). The observed OVOCs contribute 46.5 ± 8.3% to the AOC, especially during the pollution periods, with formaldehyde (HCHO) and acetaldehyde (CH3CHO) accounting for 19 ± 3.8% and 13.8 ± 4.1%, respectively. Various OVOCs (especially CH3CHO) act as key precursors for the initial production of the crucial radicals. These include the hydroperoxy radical (HO2), methyl peroxy radical (CH3O2), and acetyl peroxy radical (CH3CO3), accounting for 53.7 ± 5.0%, 13.9 ± 2.5%, and 10.0 ± 2.4% of the daytime O3production (P(O3)), respectively. HCHO acted as the key accelerator of HO2radical production and subsequently speeded up O3production. Model simulation and observational evidence reveal that the OVOC initiated secondary channel dominates the HCHO formation. The radical propagation chain of CH3CO3→ CH3O2→ CH3O→ HO2accounts for 62.4 ± 6.9% of HCHO production. CH3CHO chemistry can account for 14.0% of the production of O3, and degradation of secondary HCHO derived from CH3CHO accounts for 5.2% of total HO2production. These findings underscore the significant effect of OVOCs, particularly CH3CHO, on AOC and O3production in the urban atmosphere in eastern China. Given the decreasing trend of NOXconcentration, model simulations under different NOXlevels further imply that reducing anthropogenic emission sources of OVOCs is a crucial strategy for current O3control, and excessive reduction of NOXemissions (the daytime average concentration of NOXdecreases to below ∼ 2 ppb) may affect the effectiveness of reducing VOCs and promote a radical self-reaction.

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A fault isolation method using kernel canonical variate analysis-based contribution

A fault isolation method using kernel canonical variate anal...

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第35届中国过程控制会议

作者： Hongxin Wang Lingxia Mu Nan Feng Han Liu Ding Liu Department of Information and Control Xi'an University of Technology Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xi'an University of Technology School of Intelligence Science and Technology University of Science and Technology Beijing

Fault diagnosis and isolation is important for industrial system. In this paper, a kernel canonical variate analysis(KCVA) is proposed for fault isolation. KCVA is originally used as a data dimension reduction technique which can account for nonlinearity and correlations in the industrial dynamical process data. But there are some difficulties using KCVA in the construction of the contribution for the fault isolation. On the one hand, it is difficult to compute the contributions of individual variables because it is scarcely possible to find an inverse mapping from the feature space to the original space. On the other hand, a smearing effect is hardly avoided. To solve the problem, a KCVA-based contributions is proposed using the state subspace and the residual subspace which can isolate the faulty variables effectively. Simulations are conducted on the Tennessee Eastman process to verify the performance of the proposed method.

关键词： Kernel canonical variate analysis contribution plot fault isolation

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Improved sparse representation based on local preserving projection for the fault diagnosis of multivariable system

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Science China(Information Sciences) 2021年第2期64卷 258-260页

作者： Qiu TANG Benqi LI Yi CHAI Jianfeng QU Hao REN College of Automation Chongqing University Key Laboratory of Complex System Safety and Control Ministry of Education Xichang Satellite Launch Center

Dear editor,To satisfy the increasing requirements for safety and quality in industrial processes, process monitoring has been actively investigated in the past decade. The most critical aspects of this approach are the detection of faults in realtime and the diagnosis of fault types. Redundancy and coupling among these variables make it difficult to identify existing correlations between faults and variables, which hinders the quick detection of faults. Furthermore, the large amount of available monitoring data often obscures information about abnormalities and faults. Effective dimension reduction and feature extraction are imperative to address this challenge [1, 2].

关键词： Information systems and Communication Service

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Capture the Flag Based Assignment Algorithm for Tracking Task of Multi-UAVs 5

Capture the Flag Based Assignment Algorithm for Tracking Tas...

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5th International Symposium on Autonomous systems, ISAS 2022

作者： Dalei, Song Aoliang, Dai Xiaoqian, Wang Hongjun, Ma Donghui, Wei Shenyang University of Technology Shagnhai China School of Information Northeastern University Shagnhai China Beijing Research Institute of Mechanical Electrical Technology Key Laboratory of Complex System Control and Intelligent Collaboration Technology Beijing China

ISBN: (纸本)9781665487085

In order to solve the problem of real-time target allocation in the multi-UAVs task for cooperative tracking the moving targets on ground, based on the behavior model of capture the flag, this paper proposes a dynamic assignment algorithm, which has fast convergence performance, for cluster UAVs. Based on satisfaction and total flight distance, the proposed algorithm constructs the assignment target function, and the optimal value of the target function is achieved quickly and the uniform saturation tracking is realized for the target group through the behavior model of grabbing flags. Finally, compared with traditional genetic algorithm, the simulation results show that the algorithm has a significant improvement in convergence speed and single assignment imply operation speed with the increase of the number of assigned targets and cluster UAVs © 2022 IEEE.

关键词： Unmanned aerial vehicles (UAV)

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