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Online Fault-Tolerant Tracking Control With Adaptive Critic for Nonaffine Nonlinear Systems

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IEEE/CAA Journal of Automatica Sinica 2025年第1期 215-227页

作者： Ding Wang Lingzhi Hu Xiaoli Li Junfei qiao IEEE the School of Information Science and Technology Beijing Key Laboratory of Computational Intelligence and Intelligent SystemBeijing Laboratory of Smart Environmental Protection and Beijing Institute of Artificial Intelligence Beijing University of Technology

In this paper, a fault-tolerant-based online critic learning algorithm is developed to solve the optimal tracking control issue for nonaffine nonlinear systems with actuator ***, a novel augmented plant is constructed by fusing the system state and the reference trajectory, which aims to transform the optimal fault-tolerant tracking control design with actuator faults into the optimal regulation problem of the conventional nonlinear error system. Subsequently, in order to ensure the normal execution of the online learning algorithm, a stability criterion condition is created to obtain an initial admissible tracking policy. Then, the constructed model neural network(NN) is pretrained to recognize the system dynamics and calculate trajectory control. The critic and action NNs are constructed to output the approximate cost function and approximate tracking control,respectively. The Hamilton-Jacobi-Bellman equation of the error system is solved online through the action-critic framework. In theoretical analysis, it is proved that all concerned signals are uniformly ultimately bounded according to the Lyapunov *** tracking control law can approach the optimal tracking control within a finite approximation error. Finally, two experimental examples are conducted to indicate the effectiveness and superiority of the developed fault-tolerant tracking control scheme.

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基于非线性分析的无线通信识别系统优化研究

农机化研究 2025年第1期47卷 125-129页

作者：王永虎乔旭安重庆交通大学重庆402265 重庆城市职业学院重庆402160

为了进一步提升插秧机的通信效率及整机作业效率,以无线通信识别模块为研究对象,基于非线性分析控制理论展开优化研究。结合插秧机的作业环境特征和各组件协调作业特点,从通信信号的非线性处理和保证抗干扰能力角度入手,建立通信识别系... 详细信息

为了进一步提升插秧机的通信效率及整机作业效率,以无线通信识别模块为研究对象,基于非线性分析控制理论展开优化研究。结合插秧机的作业环境特征和各组件协调作业特点,从通信信号的非线性处理和保证抗干扰能力角度入手,建立通信识别系统的非线性控制器模型,并针对系统的输入输出和接口模块完成电路控制与程序优化布局。同时,进行插秧作业通信监测验证试验,结果表明:此非线性分析应用机理下,插秧机作业的智能性与精准性得到显著提高,通过非线性控制实现了细致有效的数据计算分析,通信传输效率相对提升了5.69%,插秧深度合格率可达96.78%,满足智能插秧设计要求。

关键词：智能插秧无线通信识别非线性分析电路控制通信传输效率

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Impact of Bubbles on Mechanical Performances in a Borosilicate Glass

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Journal of Wuhan University of Technology(Materials Science) 2025年第1期 25-29页

作者：李成行 LI Dongfeng MA Shilong qiao Ang 郑庆双 China Helicopter Research and Development Institute State Key Laboratory of Silicate Materials for Architectures Wuhan University of Technology

To analyze the impact of bubbles on the mechanical behavior of glasses,by controlling the refining time,we prepared three borosilicate glasses with the same composition and different *** the analysis software integrated within the optical microscope,the diameter and number of the bubbles on the surface of three borosilicate glasses were *** the hardness and crack initiation resistance （CR）,we built the relationship between the porosity and the mechanical performance of these borosilicate glasses.

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Interpretable Data-Driven Learning With Fast Ultrasonic Detection for Battery Health Estimation

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IEEE/CAA Journal of Automatica Sinica 2025年第1期 267-269页

作者： Kailong Liu Yuhang Liu qiao Peng Naxin Cui Chenghui Zhang the School of Control Science and Engineering Shandong University the Information Technology Analytics & Operations GroupQueen's University Belfast

Dear Editor,Health management is essential to ensure battery performance and safety, while data-driven learning system is a promising solution to enable efficient state of health(SoH) estimation of lithium-ion(Liion) batteries. However, the time-consuming signal data acquisition and the lack of interpretability of model still hinder its efficient deployment. Motivated by this, this letter proposes a novel and interpretable data-driven learning strategy through combining the benefits of explainable AI and non-destructive ultrasonic detection for battery SoH estimation. Specifically, after equipping battery with advanced ultrasonic sensor to promise fast real-time ultrasonic signal measurement, an interpretable data-driven learning strategy named generalized additive neural decision ensemble(GANDE) is designed to rapidly estimate battery SoH and explain the effects of the involved ultrasonic features of interest.

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In-situ Dendrite/Metallic Glass Matrix Composites:A Review

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Journal of Materials Science & Technology 2013年第8期29卷 685-701页

作者： Junwei qiao Laboratory of Applied Physics and Mechanics of Advanced Materials College of Materials Science and EngineeringTaiyuan University of Technology

The advanced fabrication of in-situ dendrite/metallic glass matrix （MGM） composites is reviewed. Herein, the semi- solid processing and Bridgman solidification are two methods, which can make the dendrites homogeneously dispersed within the metallic glass matrix. Upon quasi-static compressive loading at room temperature, almost all the in-situ composites exhibit improved plasticity, due to the effective block to the fast propagation of shear bands. Upon quasi-static tensile loading at room temperature, although the composites possess tensile ductility, the inhomogeneous deformation and associated softening dominates. High volume-fractioned dendrites and network structures make in-situ composites distinguishingly plastic upon dynamic compression. In-situ composite exhibits high tensile strength and softening （necking） in the supercooled liquid region, since the presence of high volume-fractioned dendrites lowers the rheology of the viscous glass matrix at high temperatures. At cryogenic temperatures, a distinguishingly-increased maximum strength is available; however, a ductile-to-brittle transition seems to be present by lowering the temperature. Besides, improved tension-tension fatigue limit of 473 MPa and four-point-bending fatigue limit of 567 MPa are gained for Zr58.5Ti14.3Nb5.2Cu6.1Ni4.9Be11.0 MGM composites. High volume-fraction dendrites within the glass matrix induce increased effectiveness on the blunting and propagating resistance of the fatigue-crack tip. The fracture toughness of in-situ composites is comparable to those of the toughest steels and crystalline Ti alloys. During steady-state crack-growth, the confinement of damage by in-situ dendrites results in enhancement of the toughness.

关键词： Bulk metallic glasses Composites Mechanical properties Dynamic loading Microstructures Shear bands

GOVERNMENT POLICIES AND CORPORATE FINANCING DECISIONS IN CHINA:THEORY AND EVIDENCE

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Journal of Systems Science and Systems Engineering 2013年第1期22卷 93-111页

作者： Kunyuan qiao Guanghua School of Management Peking University

This paper examines the effect of government policies on the financing decisions of firms in China. A real options model is developed to understand how fiscal and monetary policies affect corporate *** model predictions will be tested with a comprehensive panel data set spanning from 2002 to *** work documents robust evidence that show the positive association of both tax and risk-free rate with firm leverage：increase in tax rate and risk free rate by one standard deviation results in the increase in corporate leverages by 0.61 to 1.06 percent and 2.54 to 3.68 percent,*** addition,the productions of the firms are not affected by the tax rate in the short run,and the firms are operating in their optimal market *** implied tax rate and risk free rate are solved by assuming that the firms achieve their optimal *** implied tax rate declines with the size, whereas the opposite goes for implied risk-free rate.

关键词： Tax rate risk free rate market leverage book leverage

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多障碍环境下巡检机器人路径规划优化研究

现代电子技术 2025年第1期48卷 130-134页

作者：乔道迹张艳兵中北大学计算机科学与技术学院山西太原030051 中北大学电气与控制工程学院山西太原030051

针对大规模、密集的障碍物分布,高效地搜索最佳路径是一个挑战,为规划出更短的巡检路线,并实现多障碍环境下的灵活避障,文中提出一种多障碍环境下巡检机器人路径规划优化方法。使用二维矩阵构建巡检环境模型,应用D*算法在巡检环境模型... 详细信息

针对大规模、密集的障碍物分布,高效地搜索最佳路径是一个挑战,为规划出更短的巡检路线,并实现多障碍环境下的灵活避障,文中提出一种多障碍环境下巡检机器人路径规划优化方法。使用二维矩阵构建巡检环境模型,应用D*算法在巡检环境模型中进行巡检机器人路径规划,并将传统D*算法中的扩展步长方式改变为自适应扩展步长,使机器人在面积较大的巡检场地能够更快地完成巡检;将代价函数由欧氏距离替换为切比雪夫诺距离和曼哈顿距离融合的代价函数,并引入了平滑度函数优化线路规划结果,使规划的路径更为平滑,在遇到由于多种原因产生的新障碍物时可以重新规划路径。通过实验结果可知,无论是静态地图还是动态地图,该方法均可以快速准确地规划出一条最佳路线,并且在多种环境中应用该方法能够高效获取路径规划结果。

关键词：多障碍巡检机器人路径规划 D*算法动态环境扩展节点代价函数扩展步长

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增程式电动拖拉机动力电池供电系统研究

农机化研究 2025年第2期47卷 216-221页

作者：初香港王宝超乔明睿青岛农业大学机电工程学院山东青岛266109

增程式电动拖拉机具有节能减排、续航时间长等优点,但现有动力电池组电压等级较低,无法满足增程式电动拖拉机整机直流母线电压需求。为此,针对增程式电动拖拉机整机500 V电压平台需求,研究了其动力电池供电系统,完成了动力电池供电系统... 详细信息

增程式电动拖拉机具有节能减排、续航时间长等优点,但现有动力电池组电压等级较低,无法满足增程式电动拖拉机整机直流母线电压需求。为此,针对增程式电动拖拉机整机500 V电压平台需求,研究了其动力电池供电系统,完成了动力电池供电系统硬件设计和控制设计,最终利用MatLab/Simulink进行了仿真验证。仿真试验方面,所设计的动力电池供电系统实现了从320 V到500 V良好的升压稳压控制与闭环直流电源供电效果,能够适应与增程器等其他电源并联均流供电需求,动力电池供电系统具有良好的动态性能和稳态性能,满足稳定供电需求。

关键词：增程式电动拖拉机动力电池供电双闭环控制动态仿真

A hybrid Fast Multipole Method for cosmological N-body simulations

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Research in Astronomy and Astrophysics 2021年第1期21卷 25-32页

作者： qiao Wang Key Laboratory for Computational Astrophysics National Astronomical ObservatoriesChinese Academy of SciencesBeijing 100101China School of Astronomy and Space Science University of Chinese Academy of SciencesBeijing 100049China

We investigate a hybrid numerical algorithm aimed at large-scale cosmological N-body simulation for on-going and future high precision sky *** makes use of a truncated Fast Multiple Method(FMM)for short-range gravity,incorporating a Particle Mesh(PM)method for long-range potential,which is applied to deal with extremely large particle *** this work,we present a specific strategy to modify a conventional FMM by a Gaussian shaped factor and provide quantitative expressions for the interaction kernels between multipole ***,a proper Multipole Acceptance Criterion for the hybrid method is introduced to solve potential precision loss induced by the *** procedures reduce the amount of computation compared to an original FMM and decouple the global communication.A simplified version of code is introduced to verify the hybrid algorithm,accuracy and parallel implementation.

关键词： methods:numerical cosmology:theory large-scale structure of universe