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IEEE Joint International Information Technology and Artificial Intelligence Conference (ITAIC)

作者： Zairan Li Dan Wang Tianjin Key Laboratory of Process Measurement and Control School of Electrical Engineering and Automation Tianjin University PR China Wenzhou Polytechnic Wenzhou PR China

ISBN: (数字)9781728152448

ISBN: (纸本)9781728152455

A Self-organizing map neural network combining with classification output layers network was proposed for classifying plantar pressure dataset, which was acquired from foot 3D scan system after features extraction. The single SOM with 10, 15, 20, 30 hidden layers was compared and validated. Subsequently, the classification modeling with SOM combining multiple hidden neural networks was proposed, and results showed that the proposed model performs high effectiveness in plantar pressure dataset and has potential applications on comfort design through last customization.

关键词： Self-organizing feature maps Training Three-dimensional displays Neural networks Manuals Information technology Unsupervised learning

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Zeroth-order algorithms for stochastic distributed nonconvex optimization

arXiv

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arXiv 2021年

作者： Yi, Xinlei Zhang, Shengjun Yang, Tao Johansson, Karl H. Division of Decision and Control Systems School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Stockholm10044 Sweden Department of Electrical Engineering University of North Texas DentonTX76203 United States State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang110819 China

In this paper, we consider a stochastic distributed nonconvex optimization problem with the cost function being distributed over n agents having access only to zeroth-order (ZO) information of the cost. This problem has various machine learning applications. As a solution, we propose two distributed ZO algorithms, in which at each iteration each agent samples the local stochastic ZO oracle at two points with a time-varying smoothing parameter. We show that the proposed algorithms achieve the linear speedup convergence rate O(√p=(nT)) for smooth cost functions under the state-dependent variance assumptions which are more general than the commonly used bounded variance and Lipschitz assumptions, and O(p=(nT)) convergence rate when the global cost function additionally satisfies the Polyak-Lojasiewicz (P-L) condition in addition, where p and T are the dimension of the decision variable and the total number of iterations, respectively. To the best of our knowledge, this is the first linear speedup result for distributed ZO algorithms, which enables systematic processing performance improvements by adding more agents. We also show that the proposed algorithms converge linearly under the relative bounded second moment assumptions and the P-L condition. We demonstrate through numerical experiments the efficiency of our algorithms on generating adversarial examples from deep neural networks in comparison with baseline and recently proposed centralized and distributed ZO algorithms. Copyright © 2021, The Authors. All rights reserved.

关键词： Cost functions

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Evacuation control of Crowds of Pedestrians: Distributed or Decentralized? ⁎

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IFAC-PapersOnLine 2020年第5期53卷 318-323页

作者： Kecai Cao YangQuan Chen Chenglin Liu Nanjing Institute of Technology Nanjing 211167 China Mechatronics Embedded Systems and Automation Lab School of Engineering University of California Merced CA USA 95343 Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education) Institute of Automation Jiangnan University Wuxi 214122 China

Evacuation of crowds in a corridor with only one exit has been considered in this paper where distributed controllers have been constructed to regulate the crowd’s evacuation speed so that stampede tragedy can be avoided. Macroscopic model for crowds of pedestrians has been firstly derived based on inspiration of LWR (Lighthill-Whitham and Richards) model and Greenshields model from traffic system where finite volume method has been introduced to simplify the obtained PDEs into finite ODEs. Distributed evacuation controllers have been constructed based on inspiration of multi-agent system and stability analysis of obtained closed-loop system has been simplified to linear system with the delicate controllers proposed. Comparisons between distributed evacuation controllers and previous evacuation controllers have also been presented to show the advantages and disadvantages of different controllers under different initial density of crowds so that tragedy of crowd stampede can be effectively avoided with appropriate selection of different controllers.

关键词： Distributed evacuation controller Decentralized evacuation controller Stampede

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Internal short circuit fault diagnosis for automotive lithium-ion batteries using an adaptive parameter identification model

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Measurement: Journal of the International Measurement Confederation 2025年 253卷

作者： Tao, Qian Wang, Yiming Tian, Engang Tao, Hongfeng Chen, Hongtian Chen, Yiyang School of Mechanical and Electrical Engineering Soochow University Suzhou215137 China School of Optical-Electrical and Computer Engineering University of Shanghai for Science and Technology Shanghai200093 China Key Laboratory of Advanced Process Control for Light Industry of Ministry of Education Jiangnan University Wuxi Jiangsu214122 China Department of Automation Shanghai Jiao Tong University Shanghai200240 China

This paper develops a model-based diagnostic method for internal short circuit (ISC) faults in lithium-ion batteries. This method utilizes a second-order equivalent circuit model (ECM) combined with a recursive least squares method with an adaptive forgetting factor for online parameter identification, with initial parameters optimized by a particle swarm optimization (PSO) algorithm. An extended Kalman filter (EKF) is then employed for state estimation to generate residuals, which are analyzed using the refined cumulative sum (CUSUM) statistical method to detect and diagnose ISC faults. Experimental results show that this method effectively identifies ISC faults in automotive power batteries under various initial state of charge (SOC) levels and fault-free conditions. At 100% initial SOC, fault detection times are 104 seconds for a 15Ω fault, 77 seconds for a 10Ω fault, and 27 seconds for a 1Ω fault;at 90% initial SOC, detection for a 10Ω fault takes 97 seconds, demonstrating high accuracy and robustness. © 2025 Elsevier Ltd

关键词： Lithium-ion batteries

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Improved fast model migration method for centrifugal compressor based on bayesian algorithm and Gaussian process model

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Science China(Technological Sciences) 2018年第12期61卷 1950-1958页

作者： CHU Fei DAI BangWu LU NanNan MA XiaoPing WANG FuLi School of Information and Control Engineering China University of Mining and Technology State Key Laboratory of Integrated Automation for Process Industries Northeastern University

Design and operation optimization of centrifugal compressor are always based on an accurate prediction model, however, due to the short time operation and lack of data information, it is difficult to get an accurate prediction model of a new centrifugal compressor in time. This paper applies an improved fast model migration method(FMM method) to develop the model of the new centrifugal compressor. The method adapts a Gaussian process(GP) model from an old centrifugal compressor to fit a new and similar centrifugal compressor, and the adaptation is conducted by a scale-bias adjustment migration technology. In order to obtain the better estimated parameters of migration, Bayesian method, which takes the prior knowledge into consideration, is used in the sequential experiment. The approach is validated by a specific simulation bench. The results indicate that the applied approach can achieve a better prediction precision with fewer data of the new centrifugal compressor compared to pure GP method, and can model the new centrifugal compressor rapidly.

关键词： Bayesian centrifugal compressor Gaussian process model model migration performance prediction

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Numerical Investigation of Localized Surface Plasmon Resonance (LSPR) based Sensor for Glucose Level Monitoring

Numerical Investigation of Localized Surface Plasmon Resonan...

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First International Symposium on Instrumentation, control, Artificial Intelligence, and Robotics (ICA-SYMP)

作者： Kawintida Santavanond Charusluk Viphavakit Wisarn Patchoo Hala El-Khozondar Waleed Mohammed Faculty of Engineering International School of Engineering Chulalongkorn University Bangkok Thailand Faculty of Engineering International School of Engineering Intelligent Control Automation of Process Systems Research Unit Chulalongkorn University Bangkok Thailand The Bangkok University Center of Research in Optoelectronics Communications and Computational Systems School of Engineering Bangkok University Pathumthani Thailand Islamic University of Gaza Gaza Palestine The Bangkok University Center of Research in Optoelectronics Communications and Computational Systems School of Engineering Bangkok University Pathumthani Thailand

ISBN: (数字)9781728187600

ISBN: (纸本)9781728187617

This study aims to apply Localized Surface Plasmon Resonance (LSPR), Maxwell Garnett's formula, and Fabry-Perot theory together to design and develop a LSPR enhanced gold colloidal nanoparticles (AuNPs) sensor to be used in biomedical applications such as detection of glucose level in urine for early stage screening of diabetic patients. In this work, the LSPR based sensor has been designed and studied numerically to detect the glucose level from the change in the effective index resulting in a red shift of the absorption peak. The sensors were designed to have various sizes of the gold nanoparticles in a range between 20 nm and 100 nm by having different molar ratio with Trisodium Citrate (TSC) which acts as stabilizer in the synthesis. The maximum possible sensitivity of the sensor can be achieved with 70 nm diameter of gold nanoparticles at 0.2 volume fraction of AuNP to glucose solution.

关键词： Nanoparticles Gold Sensitivity Robot sensing systems Glucose Optical sensors Surface plasmons

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Stability Analysis and Design of Switched Saturated Systems Based on Antiwindup Technique

Stability Analysis and Design of Switched Saturated Systems ...

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第三十九届中国控制会议

作者： Xinquan Zhang Xiaoyin Li Yuzhong Wang Ke Mu School of Information and Control Engineering Liaoning Shihua University School of Foreign Languages Liaoning Shihua University State Key Laboratory of Synthetical Automation for Process Industries Northeastern University

The problem of stability analysis and anti-windup design is investigated for a class of switched linear systems subject to actuator saturation by using the common Lyapunov function method. Suppose that a group of dynamic output controllers have been designed and they can stabilize the closed-loop system in the absence of saturation. Then, the anti-windup compensators are designed, which aims for enlarging the domain of attraction of system with saturation. Finally, the anti-windup compensators are calculated by solving an optimization problem with linear matrix inequalities（LMI） constraints. A numerical example is given to show the effectiveness of proposed method.

关键词： Anti-windup Switched Systems Saturation Common Lyapunov Function Domain of Attraction

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L2-gain Analysis for Switched Saturated Systems Based on Anti-windup Technique

L2-gain Analysis for Switched Saturated Systems Based on Ant...

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第三十九届中国控制会议

作者： Xinquan Zhang Xiaoyin Li Jiasheng Shi Shizhong Tong School of Information and Control Engineering Liaoning Shihua University School of Foreign Languages Liaoning Shihua University State Key Laboratory of Synthetical Automation for Process Industries Northeastern University

In this paper, the problem on L-gain analysis and anti-windup design is studied for linear switched saturated systems by the common Lyapunov function method. Firstly, the sufficient condition about tolerable disturbances is obtained and under this condition, the state trajectory that starts from the origin will be still on a bounded set. Then, we obtain the upper bound for restricted L-gain. Furthermore, to determine the maximum capability of disturbance tolerance and the minimum upper bound of restricted L-gain, the anti-windup compensators are computed by solving a constraints optimization problem. Finally, a numerical example is given to verify the effectiveness of proposed approach.

关键词： L2-gain Anti-windup Switched Saturated Systems Common Lyapunov Function Tolerable Disturbances

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Guaranteed Cost control and Anti-windup Design for Discrete-time Saturated Switched Systems

Guaranteed Cost Control and Anti-windup Design for Discrete-...

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第三十九届中国控制会议

作者： Xinquan Zhang Xiaoyin Li Zhengbao Cao Wenhua Tao School of Information and Control Engineering Liaoning Shihua University School of Foreign Languages Liaoning Shihua University State Key Laboratory of Synthetical Automation for Process Industries Northeastern University

This paper considers the guaranteed cost control and anti-windup design problem for a class of discrete-time saturated switched systems. The anti-windup compensators are designed, for guaranteeing that the considered system is asymptotically stable and simultaneously the minimized upper-bound of the cost function is obtained. By using the switched Lyapunov function method, we derive some sufficient conditions about the existence of anti-windup compensation gains of guaranteed cost. Furthermore, the minimized upper-bound of the cost function is determined by solving an optimisation problem in terms of linear matrix inequalities（LMI） constraints. Finally, a numerical example is given to show the effectiveness of the proposed method.

关键词： Guaranteed Cost control Saturated switched systems Anti-windup Switched Lyapunov Function LMI

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Key zone auto location of plantar pressure image using de-dimensionality and wavelet transformation 3

Key zone auto location of plantar pressure image using de-di...

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3rd International Conference on Information Technology and Intelligent Transportation Systems, ITITS 2018

作者： Li, Zairan Tianjin Key Laboratory of Process Measurement and Control School of Electrical Engineering and Automation Tianjin University Tianjin300072 China Wenzhou Vocational College and Technical College Wenzhou325035 China

ISBN: (纸本)9781614999386

The research on the comfort of shoes is a hot-issue in the field of footwear optimization design and intelligent design. To acquire the data-set of plantar pressure imaging, the foot-scan plantar pressure imaging experimental equipment was used to the plantar pressure imaging by collecting the actual test images of plantar pressure. The basic data-set of plantar pressure image is constructed by means of denoising and dimension reduction, which provides the basis for the segmentation of key feature areas and the extraction of key features of plantar pressure. The proposed methods of image de-dimensionality are used in preprocessing of image data-set. And some image filtering technologies are also applied in suppressing the noise of the target image, and subsequently to keep the original image feature details. The effect of some kinds of filtering was directly affect the subsequent image processing and the effectiveness of image fusion analysis by using Gaussian filtering, mean filtering and bilateral filtering which will guide the last surface generation in better ways. © 2019 The authors and IOS Press. All rights reserved.

关键词： Image fusion

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