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Coal-and-Gas Outburst Risk Classification Prediction Based on the Evolution of the Entire Space–Time Stress Field in Mines

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Natural Resources Research 2025年 1-18页

作者： Wang, Wenyuan Yang, Wei Lin, Baiquan Zha, Wei School of Safety Engineering China University of Mining and Technology Xuzhou China Key Laboratory of Theory and Technology on Coal and Rock Dynamic Disaster Prevention and Control National Mine Safety Administration China University of Mining and Technology Xuzhou China

The challenge of obtaining large-scale geostress greatly limits its widespread application in predicting coal-and-gas outbursts. This paper presents a coal-and-gas outburst risk classification prediction method based on the evolution of the entire space–time stress field in a mine. The approach involves three levels of risk prediction: a primary assessment using in situ stress data and a rock damage risk coefficient formula, a secondary refinement using a neural network combined with the entire space–time stress data, and a tertiary prediction based on mining-induced stress forecasts. Applied to the North 1 mining area of the Sangshuping coal mine, the method successfully divided three levels of risk zones, with 73.4% of recorded outbursts occurring within the high-risk zones identified in the primary assessment. The second-level refined prediction model achieved strong accuracy (0.97), and the proportion of recorded outbursts in high-risk zones increased to 88.68%. Simulations of future mining activities revealed an obvious high-risk zone in the 4321 and 4322 working faces. The study highlights the relationship between stress fluctuations and risk severity. This method is of great significance for accurately predicting coal-and-gas outbursts and guiding on-site safety production in coal mines.

关键词： Coal-and-gas outbursts Mine digital model Risk prediction Stress

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Evolution of cooperation in spatial public goods games driven by reinforcement learning and environmental feedback

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Chaos, Solitons and Fractals 2025年 199卷

作者： Yang, Yujin Zhao, Dawei Wang, Juan Tianjin Key Laboratory for Control Theory and Complicated Industry Systems Tianjin University of Technology Tianjin300384 China School of Electrical Engineering and Automation Tianjin University of Technology Tianjin300384 China Jinan250014 China

The human decision-making process is highly complex, involving individual emotion, personality, preference and even social background or environment. In order to mimic intergenerational interest conflicts within the carbon generalized system of preferences, we propose a hybrid strategy update mechanism that integrates reinforcement learning (Q-learning) and Fermi-like imitation dynamics, aiming to explore the evolutionary patterns of cooperative behaviors in social dilemmas. By constructing a spatial evolutionary game model that simulates individual interactions in regular lattices, we analyze the impact of dynamic environmental state changes on strategic selection. The numerical results reveal that reinforcement learning significantly promotes the emergence of altruistic cooperators and maintains superior environmental conditions by balancing short-term gains with long-term environmental benefits. The hybrid update mechanism effectively mitigates the exploitation of cooperators by defectors, achieving the dynamic co-existence of three different strategies at the stationary state. Furthermore, the environmental payoff coefficient and the threshold range of the environmental health index emerge as critical parameters to resolve cooperation dilemmas, while the network scale does not show a significant impact on the extension and generalizability of the model. These findings provide some theoretical support for us to optimize carbon emission reduction policies, highlighting the crucial role of heterogeneous individual decision-making and long-term environmental feedback in low-carbon transitions. © 2025 Elsevier Ltd

关键词： Risk perception

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Research on Hearing-Impaired EEG Emotion Recognition Based on Deep Residual Shrinkage Networks

Research on Hearing-Impaired EEG Emotion Recognition Based o...

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Chinese control Conference (CCC)

作者： Meiyi Cheng Qiang Gao Zhongli Bai Yirui Chen Yang Liu Yu Song School of Electrical Engineering and Automation Tianjin University of Technology Tianjin Tianjin Key Laboratory for Control Theory and Applications in Complicated Systems Tianjin

With the development of affective computing and computer science, electroencephalogram (EEG) based emotion recognition has attracted much more attention. In this paper, we collected EEG signals from fifteen healthy people and fifteen hearing-impaired people when they were watching five kinds of emotional pictures (fear, anger, sadness, happiness and neutral). The collected EEG signals are preprocessed to remove artifacts by independent component analysis (ICA). Then the differential power spectral density, entropy, and wavelet entropy features were extracted (PSD, DE, WE). The Deep Residual Shrinkage Networks (DRSNs) were composed of residual building units (RBU s) and an attention mechanism was used to capture the representative features, and then made a classification. The classification results prove that using DE as a feature for classification is better than other features, with an average accuracy being 76.35% and 80.47% for the hearing-impaired group and the normal group, respectively. Moreover, from the brain topography, we found that there are certain differences in brain function between hearing-impaired and healthy people.

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Extremum Seeking for Single-Variable Static Map with Measurement Noise via A Time-Delay Approach

Extremum Seeking for Single-Variable Static Map with Measure...

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IEEE International Conference on Cyber Technology in Automation, control, and Intelligent Systems

作者： Bowen Zhao Xuefei Yang Emilia Fridman Bin Zhou Center for Control Theory and Guidance Technology Harbin Institute of Technology Harbin China School of Electrical Engineering Tel-Aviv University Israel

In this article, we introduce a time-delay approach to extremum seeking (ES) for scalar static quadratic maps with measurement noise. The approach involves transforming the ES system into a time-delay neutral type system with stochastic perturbations, which guarantees the stability of the original ES system. Using a Lyapunov-Krasovskii (L-K) method, explicit conditions are established for the mean-square ultimate boundedness of the ES control systems. These conditions are expressed in terms of LMIs and depend on the intensity of measurement noise, tuning parameters, and a known arbitrarily large constant $L$ that bounds the 6th moment of the estimation error. Compared to existing results for ES with measurement noise obtained via qualitative analysis, our approach provides a quantitative analysis via a time-delay approach to averaging. A numerical example is provided to illustrate the efficiency of the proposed method.

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Anomaly Detection for Stochastic Networked Cyber-Physical Systems: A Statistical Approach

Anomaly Detection for Stochastic Networked Cyber-Physical Sy...

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International Conference on control and Automation (ICCA)

作者： Yamin Yan Minyue Fu Maria M. Seron School of Electrical and Electronic Engineering Nanyang Technological University Singapore Shenzhen Key Laboratory of Control Theory and Intelligent Systems and Centre for Control Science and Technology School of System Design and Intelligent Manufacturing Southern University of Science and Technology Shenzhen China School of Engineering The University of Newcastle Callaghan NSW Australia

ISBN: (数字)9798350354409

ISBN: (纸本)9798350354416

In this paper, we investigate the anomaly detection problem within stochastic networked cyber-physical systems. We introduce an anomaly detection scheme centered on estimator design employing a statistical approach. Specifically, we extend the statistical method recently developed for single systems to networked control scenarios. Additionally, we analyse the detection of several representative anomalies through this statistical approach. We then apply our anomaly detection strategy to a power network system exposed to such anomalies. Our findings demonstrate that the proposed design effectively detects these anomalies, which simpler methods relying solely on residual assessment with a threshold fail to identify.

关键词： Analytical models Automation Statistical analysis Stochastic processes Cyber-physical systems control systems Anomaly detection

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A Data-Driven Approach to System Invertibility and Input Reconstruction

A Data-Driven Approach to System Invertibility and Input Rec...

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IEEE Conference on Decision and control

作者： Vikas Kumar Mishra Andrea Iannelli Naim Bajcinca Department of Mechanical and Process Engineering RPTU Kaiserslautern Kaiserslautern Germany University of Stuttgart Institute for Systems Theory and Automatic Control Stuttgart Germany

We consider the problems of system invertibility and input reconstruction for linear time-invariant (LTI) systems using only measured data. The two problems are connected in the sense that input reconstruction is possible provided that the system is left invertible. To verify the latter property without model knowledge, we leverage behavioral systems theory and develop two data-driven algorithms: one based on input/state/output data and the other based only on input/output data. We then consider the problem of input reconstruction for both noise-free and noisy data settings. In the case of noisy data, a statistical approach is leveraged to formulate the problem as a maximum likelihood estimation (MLE) problem. The proposed approaches are finally illustrated with numerical examples that show: exact input reconstruction in the noise-free setting; and the better performance of the MLE-based approach compared to the standard least-norm solution.

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A Multimodal Fusion Model for Breast Tumor Segmentation in Ultrasound Images

A Multimodal Fusion Model for Breast Tumor Segmentation in U...

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IEEE International Symposium on Biomedical Imaging

作者： Hanlong Yin Lin Tao Yue Zhao Jing Jin Control Theory and Engineering School of Astronautics Harbin Institute of Technology Harbin China Department of Mammary Surgery The Second Affiliated Hospital of Harbin Medical University Harbin China

ISBN: (数字)9798350313338

ISBN: (纸本)9798350313345

Breast cancer is a leading cause of death among women worldwide. Accurate segmentation of breast tumors in Bmode ultrasound (BUS) images is crucial for early detection and diagnosis. However, this task remains challenging due to indistinct boundaries and artifacts. Existing methods using only BUS images often mistake artifacts in BUS images for tumors, posing challenges in accurately delineating tumor contours. To overcome the interference of artifacts and achieve more accurate segmentation, a multimodal method combining B-mode and elastography ultrasound images for breast tumor segmentation is proposed in this study. The proposed method utilizes BUS images and elastography as dual inputs of the network because elastography can depict the stiffness of breast tissue. The attention-separation-and-aggregation gate (ASA-Gate) module is implemented to achieve cross-modal feature fusion and extraction. Experimental results on an in-house dataset demonstrated the effectiveness of the method in reducing the interference of artifacts and improving the segmentation accuracy in BUS images.

关键词： Image segmentation Ultrasonic imaging Breast tumors Accuracy Interference Feature extraction Elastography

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HUBER LOSS-BASED PENALTY APPROACH TO PROBLEMS WITH LINEAR CONSTRAINTS∗

arXiv

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arXiv 2023年

作者： Nedić, Angelia Tatarenko, Tatiana The School of Electrical Computer and Energy Engineering Arizona State University United States Department of Control Theory and Robotics TU Darmstadt Germany

We consider an optimization problem with many linear inequalities constraints. To deal with a large number of constraints, we provide a penalty reformulation of the problem, where the penalty is a variant of the one-sided Huber loss function. We study the infeasibility properties of the solutions of penalized problems for nonconvex and convex objective functions, as the penalty parameters vary with time. Then, we propose a random incremental penalty method for solving convex problem, and investigate its convergence properties for convex and strongly convex objective functions. We show that the iterates of the method converge to a solution of the original problem almost surely and in expectation for suitable choices of the penalty parameters and the stepsize. Also, we establish convergence rate of the method for appropriately defined weighted averages of the iterates for the expected function values. We establish O(ln1/2+ǫ k/√k)-convergence rate when the objective function is convex, and O(lnǫ k/k)-convergence rate when the objective function is strongly convex with ǫ being any small positive number. To the best of our knowledge, these are the first results on the convergence rate for the penalty-based incremental subgradient method with time-varying penalty parameters. © 2023, CC BY.

关键词： Iterative methods

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Distributed-Observer-Based on Longitudinal Flight control for Hypersonic Vehicle

Distributed-Observer-Based on Longitudinal Flight Control fo...

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Chinese control Conference (CCC)

作者： Yuehui Ji Yiming Zhao Jiaqi Chen Junjie Liu Qiang Gao Tianjin Key Laboratory for Control Theory & Applications in Complicated Systems School of Electrical Engineering and Automation Tianjin University of Technology Tianjin China

An output feedback control is investigated to achieve stable tracking of velocity and altitude in hypersonic flight vehicle in the paper. A distributed observer is proposed to estimate the unmeasurable flight path angel and angle of attack through a strongly connected directed network topology. Then, a nonlinear control is addressed on the longitudinal dynamics of a rigid hypersonic flight vehicle (HFV) with partial measurable states and the estimated states. The system dynamic is divided into the altitude subsystem and the velocity subsystem. In the altitude subsystem, the backstepping design is proposed for constructing the controllers utilizing the estimated states. The nonlinear dynamic inversion controller is introduced to accomplish the velocity tracking. Finally, numerical simulations verify the effectiveness of the proposed control scheme in providing favorable tracking performance and exact state estimation ability.

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Extremum seeking in the presence of large delays via time-delay approach to averaging

arXiv

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arXiv 2023年

作者： Yang, Xuefei Fridman, Emilia Center for Control Theory and Guidance Technology Harbin Institute of Technology Harbin China School of Electrical Engineering Tel-Aviv University Israel

In this paper, we study gradient-based classical extremum seeking (ES) for uncertain n-dimensional (nD) static quadratic maps in the presence of known large constant distinct input delays and large output constant delay with a small time-varying uncertainty. This uncertainty may appear due to network-based measurements. We present a quantitative analysis via a time-delay approach to averaging. We assume that the Hessian has a nominal known part and norm-bounded uncertainty, the extremum point belongs to a known box, whereas the extremum value to a known interval. By using the orthogonal transformation, we first transform the original static quadratic map into a new one with the Hessian containing a nominal diagonal part. We apply further a time-delay transformation to the resulting ES system and arrive at a time-delay system, which is a perturbation of a linear time-delay system with constant coefficients. Given large delays, we choose appropriate gains to guarantee stability of this linear system. To find a lower bound on the dither frequency for practical stability, we employ variation of constants formula and exploit the delay-dependent positivity of the fundamental solutions of the linear system with their tight exponential bounds. Sampled-data ES in the presence of large distinct input delays is also presented. Explicit conditions in terms of simple scalar inequalities depending on tuning parameters and delay bounds are established to guarantee the practical stability of the ES control systems. We show that given any large delays and initial box, by choosing appropriate gains we can achieve practical stability for fast enough dithers and small enough uncertainties. Copyright © 2023, The Authors. All rights reserved.

关键词： Time delay

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