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第41届中国控制会议

作者： Hao Wang Yu Pan Wei Cui School of Automation Science and Engineering South China University of Technology College of Control Science and Engineering Zhejiang University

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

Mixed-integer linear programming(MILP) plays a crucial role in artificial intelligence,biochemistry,finance,cryptography,*** popular for decades,the researches of MILP solvers are still limited by the resource consumption caused by complexity and failure of Moore's ***-inspired Ising machines,as a new computing paradigm,can be used to solve integer programming problems by reducing them into Ising ***,it is necessary to understand the technical evolution of quantum inspired solvers to break the *** this paper,the concept and traditional algorithms for MILP are ***,focused on Ising model,the principle and implementations of annealers and coherent Ising machines are ***,the paper discusses the challenges and opportunities of miniaturized solvers in the future.

关键词： Mixed-integer Linear Programming Solver Annealer Coherent Ising Machine

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Incipient sensor fault detection for time-varying stochastic systems under Kalman filtering framework

Incipient sensor fault detection for time-varying stochastic...

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2023 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes, SAFEPROCESS 2023

作者： Niu, Yichun Sheng, Li Gao, Ming Wei, Yongli Zhou, Donghua Shandong University of Science and Technology College of Electrical Engineering and Automation Qingdao266590 China College of Control Science and Engineering Qingdao266580 China

ISBN: (纸本)9798350337754

This article is concerned with incipient sensor fault detection for time-varying stochastic systems under the Kalman filtering framework. Generally, incipient sensor faults are hard to detect since it is submerged by noise. By means of the stochastic theory, the accurate relationship among the sensor fault magnitude, the acceptable false alarm rate (FAR) and missed detection rate (MDR) is given. Then, an incipient sensor fault detection algorithm is proposed by using the weighted moving average method. The weight matrix and window length of the weighted moving average method are properly chosen to ensure the detectability of incipient sensor faults in a probabilistic sense, which means the FAR and MDR are in the acceptable range. Finally, a simulation example is provided to demonstrate the usefulness of the derived results. © 2023 IEEE.

关键词： Stochastic systems

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Iterative learning-based fault estimation for continuous-time switched linear systems with ADT constraint

Iterative learning-based fault estimation for continuous-tim...

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2023 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes, SAFEPROCESS 2023

作者： Zhang, Jian Zhu, Yanzheng Yang, Rongni Shandong University of Science and Technology College of Electrical Engineering and Automation Qingdao China Shandong University School of Control Science and Engineering Jinan China

ISBN: (纸本)9798350337754

This paper investigates the fault estimation (FE) problem for a class of switched linear systems with actuator faults and external disturbances. The restricted switching is to satisfy the average dwell time (ADT) constraint, and the disturbance assumes to be different for each iterative operation. Firstly, the iterative learning (IL) observer is designed to simultaneously estimate the states and faults. Secondly, under the ADT switching, the convergence of the ILO is guaranteed such that the estimation errors converge to the region caused by the disturbances. Different from existing results based on arbitrary switching, the ADT switching is used for the first time to analyze the convergence of iterative learning estimator. Finally, an example is given to show the validity of the approach. © 2023 IEEE.

关键词： Linear systems

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A new appearance-based gaze estimation via multi-modal fusion 3

A new appearance-based gaze estimation via multi-modal fusio...

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3rd International Conference on Neural Networks, Information and Communication engineering, NNICE 2023

作者： Yang, Huijie Yang, Zuoyun J., Liu J., Chi School of Automation and Electrical Engineering University of Science and Technology Beijing Beijing China School of Automation and Electrical Engineering University of Science and Technology Beijing Engineering Research Center of Intelligence Perception and Autonomous Control Ministry of Education Beijing China

ISBN: (纸本)9798350335972

Appearance-based gaze estimation has gained more and more attention because of its generality, robustness, and subject independence. Deep learning, which has made a great deal of success in computer vision, has also greatly improved the accuracy of appearance-based gaze estimation. To further reduce the error in gaze estimation, we focus on extracting better feature information from eye and face images. In this paper, we propose a novel multimodal fusion gaze estimation model based on ConvNext and dilated convolution. In this model, the eye image and face image are used as input, and the ConvNext network is used to extract the features of the face image and the eye features are extracted by a dilated convolution-based network, and the feature map of the two images are fused using the fully connected layer to perform gaze estimation. In the experimental part, the designed model is verified on the public dataset MPIIGaze, and compared the proposed model with other gaze estimation models. The experimental results show that our proposed method has greatly improved the accuracy of gaze estimation on the MPIIGaze dataset compared to other related works. Our proposed multimodal fusion gaze estimation model achieves state-of-the-art result on the MPIIGaze dataset. © 2023 IEEE.

关键词： Convolution

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Foundation Vehicles: From Foundation Intelligence to Foundation Transportation for Future Mobility

IEEE Transactions on Intelligent Vehicles

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IEEE Transactions on Intelligent Vehicles 2023年 1-5页

作者： Wang, Fei-Yue Lv, Chen The State Key Laboratory for Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China School of Mechanical and Aerospace Engineering Nanyang Technological University Singapore

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Predicting the Bioaccessibility of Soil Cd,Pb,and As with Advanced Machine Learning for Continental-Scale Soil Environmental Criteria Determination in China

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Environment & Health 2024年第9期2卷 631-641页

作者： Kunting Xie Jiajun Ou Minghao He Weijie Peng Yong Yuan Guangdong Key Laboratory of Environmental Catalysis and Health Risk Control School of Environmental Science and EngineeringInstitute of Environmental Health and Pollution ControlGuangdong University of TechnologyGuangzhou 510006China School of Automation Guangdong University of TechnologyGuangzhou 510006China Health Risk Control School of Environmental Science and EngineeringInstitute of Environmental Health and Pollution ControlGuangdong University of TechnologyGuangzhou 510006China

Investigating the bioaccessibility of harmful inorganic elements in soil is crucial for understanding their behavior in the environment and accurately assessing the environmental risks associated with *** batch experimental methods and linear models,however,are time-consuming and often fall short in precisely quantifying *** this study,using 937 data points gathered from 56 journal articles,we developed machine learning models for three harmful inorganic elements,namely,Cd,Pb,and *** thorough analysis,the model optimized through a boosting ensemble strategy demonstrated the best performance,with an average R2 of 0.95 and an RMSE of *** further employed SHAP values in conjunction with quantitative analysis to identify the key features that influence *** utilizing the developed integrated models,we carried out predictions for 3002 data points across China,clarifying the bioaccessibility of cadmium(Cd),lead(Pb),and arsenic(As)in the soils of various sites and constructed a comprehensive spatial distribution map of China using the inverse distance weighting(IDW)interpolation *** on these findings,we further derived the soil environmental standards for metallurgical sites in *** observations from the collected data indicate a reduction in the number of sites exceeding the standard levels for Cd,Pb,and As in mining/smelting sites from 5,58,and 14 to 1,24,and 7,*** research offers a precise and scientific approach for cross-regional risk assessment at the continental scale and lays a solid foundation for soil environmental management.

关键词： machine learning soil environmental criteria potentially harmful elements bioaccessibility sites

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Adaptive Consensus Quantized control for a Class of High-Order Nonlinear Multi-Agent Systems With Input Hysteresis and Full State Constraints

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IEEE/CAA Journal of Automatica Sinica 2022年第9期9卷 1574-1589页

作者： Guoqiang Zhu Haoqi Li Xiuyu Zhang Chenliang Wang Chun-Yi Su Jiangping Hu the School of Automation Engineering Northeast Electric Power UniversityJilin 132012 the Jilin Province International Research Center of Precision Drive and Intelligent Control Jilin 132012China the School of Automation Science and Electrical Engineering Beihang UniversityBeijing 100191China the Department of Mechanical and Industrial Engineering Concordia UniversityQCMontrealH3B 1R6Canada the School of Automation Engineering University of Electronic Science and Technology of ChinaChengdu 611731China(

For a class of high-order nonlinear multi-agent systems with input hysteresis,an adaptive consensus output-feedback quantized control scheme with full state constraints is *** major properties of the proposed control scheme are:1)According to the different hysteresis input characteristics of each agent in the multi-agent system,a hysteresis quantization inverse compensator is designed to eliminate the influence of hysteresis characteristics on the system while ensuring that the quantized signal maintains the desired value.2)A barrier Lyapunov function is introduced for the first time in the hysteretic multi-agent *** constructing state constraint control strategy for the hysteretic multi-agent system,it ensures that all the states of the system are always maintained within a predetermined range.3)The designed adaptive consensus output-feedback quantization control scheme allows the hysteretic system to have unknown parameters and unknown disturbance,and ensures that the input signal transmitted between agents is the quantization value,and the introduced quantizer is implemented under the condition that only its sector bound property is *** stability analysis has proved that all signals of the closed-loop are semi-globally uniformly *** Star Sim hardware-in-the-loop simulation certificates the effectiveness of the proposed adaptive quantized control scheme.

关键词： Adaptive quantized control barrier Lyapunov function input hysteresis multi-agent systems

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MATD3-Based End-Edge Collaborative Resource Optimization for NOMA-Assisted Industrial Wireless Networks

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Computers, Materials & Continua 2025年第2期82卷 3203-3222页

作者： Ru Hao Chi Xu Jing Liu College of Information Engineering Shenyang University of Chemical TechnologyShenyang110142China State Key Laboratory of Robotics Shenyang Institute of AutomationChinese Academy of SciencesShenyang110016China Key Laboratory of Networked Control Systems Chinese Academy of SciencesShenyang110016China

Non-orthogonal multiple access (NOMA) technology has recently been widely integrated into multi-access edge computing (MEC) to support task offloading in industrial wireless networks (IWNs) with limited radio resources. This paper minimizes the system overhead regarding task processing delay and energy consumption for the IWN with hybrid NOMA and orthogonal multiple access (OMA) schemes. Specifically, we formulate the system overhead minimization (SOM) problem by considering the limited computation and communication resources and NOMA efficiency. To solve the complex mixed-integer nonconvex problem, we combine the multi-agent twin delayed deep deterministic policy gradient (MATD3) and convex optimization, namely MATD3-CO, for iterative optimization. Specifically, we first decouple SOM into two sub-problems, i.e., joint sub-channel allocation and task offloading sub-problem, and computation resource allocation sub-problem. Then, we propose MATD3 to optimize the sub-channel allocation and task offloading ratio, and employ the convex optimization to allocate the computation resource with a closed-form expression derived by the Karush-Kuhn-Tucker (KKT) conditions. The solution is obtained by iteratively solving these two sub-problems. The experimental results indicate that the MATD3-CO scheme, when compared to the benchmark schemes, significantly decreases system overhead with respect to both delay and energy consumption.

关键词： Industrial wireless networks(IWNs) multi-access edge computing(MEC) non-orthogonal multiple access(NOMA) task offloading resource allocation

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DOUBLE WAVELET THRESHOLD FILTER DESIGN FOR REAL-TIME ADAPTIVE DENOISING IN OA-ICOS

DOUBLE WAVELET THRESHOLD FILTER DESIGN FOR REAL-TIME ADAPTIV...

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2024 Jiangsu Annual Conference on automation, JACA 2024

作者： Deng, Yixin Wang, Zairan Chen, Yang-Yang Liu, Qin Wang, Xiangyu School of Automation Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Southeast University Nanjing China School of Cyber Science and Engineering Southeast University Nanjing China

ISBN: (纸本)9781837242689

In the Off-Axis Integrated Cavity Output Spectroscopy (OA-ICOS) technique, single-stage filters are commonly used to reduce noise and improve the signal-to-noise ratio, enabling more precise CO2 concentration detection. However, these filters often underperform under real-time conditions. To enhance real-time performance, this paper proposes a novel framework based on Double Wavelet Threshold Filter (DWTF) that adaptively suppresses noise while preserving key features of CO2 concentration signal. Firstly, one wavelet threshold filter (WT) is introduced to calculate the mean of the current sequence, providing an initial denoising step. Secondly, another WT is employed to extract features from a longer sequence for adaptive computation of the discount factor. Finally, an exponential moving average filter (EMA) is applied to combine both current and historical data to produce a smoother aggregated output. To validate the effectiveness, DWTF was compared with other conventional algorithms for a CO2 dataset with three distinct states: smooth, ship and mutant, obtained by OA-ICOS. The experimental results demonstrate that DWTF performs effectively in all three states. © The Institution of engineering & Technology 2024.

关键词： Adaptive filters

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The Rotary Flexible Joint – A Holistic View from Modeling and control to Observer Design and Experiments

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IFAC-PapersOnLine 2023年第2期56卷 7567-7572页

作者： Simon Helling Thomas Meurer Automation and Control Group Faculty of Engineering Kiel University

A two degrees of freedom (2DOF) control for a lab-scale vertically-mounted rotary flexible joint is addressed to realize a benchmark example for nonlinear control education and experimentation. To this end, the mathematical model is derived based on the Euler-Lagrange equations. Further insight into the model is given by addressing the relationship between the two translational springs and their approximation as a single torsion spring. The model is known to be differentially flat, which facilitates a feedforward control design by means of the flat parameterization. Furthermore, a state-feedback controller is introduced to stabilize the desired trajectory. State information is reconstructed using a Luenberger-type observer. Both the state-feedback controller and the Luenberger-type observer are designed based on a linear time-varying (LTV) approximation obtained using a linearization around the flat state parameterization of the system. The 2DOF design is illustrated using experimental results.

关键词： Nonlinear control feedback control feedforward control observers pole assignment

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