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第41届中国控制会议

作者： Zhiqiang Zuo Songlin Guo Yijing Wang Zheng Li Tianjin Key Laboratory of Process Measurement and Control School of Electrical and Information EngineeringTianjin University

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

Among the applications of intelligent traffic system,two-lane two-way urban roads are very important scenarios for autonomous *** across the dividing line is a dangerous maneuver because of the high risk of collision with vehicles in the opposite *** this paper,the uncertainties of time-to-collision(TTC) are handled by unscented transformation algorithm,and nonlinear interpolation is also *** we develop the overtaking risk indicator(ORI) by calculating the TTC of the ego vehicle and obstacles in all the two lanes to evaluate the risk of ***,a trajectory planning scheme integrated with the risk indicator and model predictive control(MPC) algorithm is designed to improve the safety and efficiency of *** results verify the reliable performance of the proposed method.

关键词： Overtaking risk unscented transformation model predictive control trajectory planning

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Gas-water Two-phase Flow Status Monitoring based on CA-KCVA Method 41

Gas-water Two-phase Flow Status Monitoring based on CA-KCVA ...

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第41届中国控制会议

作者： Wentao Wu Chao Tan Shumei Zhang Feng Dong Tianjin Key Laboratory of Process Measurement and Control School of Electrical and Information Engineering Tianjin University

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

Gas-water two-phase flow process is complex and ***-time monitoring of flow status evolution is helpful to the safe *** progress of multi-sensor technology makes it possible to accurately measure the flow information,which lays a data foundation for the establishment of flow status monitoring *** to the instability and randomness of flow,there are both nonstationary and stationary signals in the measurement *** this paper,the augmented Dickey Fuller(ADF) test is used to distinguish nonstationary signals from stationary *** analysis(CA) can deal with the problem that the fluctuation of nonstationary signals masks the change trend of flow *** stationary signals,kernel canonical variate analysis(KCVA) is used to realize the nonlinear mapping and obtain the canonical features reflecting the dynamic *** monitoring indexes are built and combined to monitor the flow ***-KCVA method is applied to the data of gas-water two-phase flow in horizontal *** monitoring results prove the effectiveness.

关键词： Gas-water two-phase flow flow status monitoring augmented Dickey Fuller test cointegration analysis kernel canonical variate analysis

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Capacity Configuration of DC Microgrid with Modified Particle Swarm Optimization 41

Capacity Configuration of DC Microgrid with Modified Particl...

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第41届中国控制会议

作者： Zhiqiang Zuo Yixuan Shao Yijing Wang Zhicheng Zhang Tianjin Key Laboratory of Process Measurement and Control School of Electrical and Information EngineeringTianjin University

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

Taking into account the continuous power supply demand of the load,and reducing the cost of the DC microgrid as much as possible,it is necessary to reasonably configure the capacity of DC *** paper first establishes the mathematical model for each equipment,and then proposes the capacity configuration optimization model of the DC microgrid system with the smallest annualized investment,operation costs,loss of power supply probability and surplus of power supply probability as the optimization *** addition,a modified particle swarm optimization algorithm is proposed to solve the optimization problem online,which has faster convergence speed over the traditional particle swarm optimization *** this configuration strategy is applied to the statistical data of photovoltaic power generation and load of a certain area,and the optimal capacity of photovoltaic and energy storage system is *** results show that the DC microgrid is more economical and reliable with coordinated configuration of photovoltaic and energy storage system.

关键词： DC Microgrid Photovoltaic Energy Storage system Capacity Configuration

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Robust H∞ Analysis and control of Fractional-Order systems With Ellipsoidal Parametric Uncertainty

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Mathematical Methods in the Applied Sciences 2025年第8期48卷 9058-9070页

作者： Zhu, Long-Jun Lu, Jun-Guo Zhu, Zhen Zhang, Qing-Hao Department of Automation Shanghai Jiao Tong University Shanghai China School of Artificial Intelligence Shanghai Normal University Tianhua College Shanghai China Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai China

In the domain of systems control, the robust control of fractional-order systems (FOSs) with ellipsoidal parameter uncertainty has received scant attention, even though ellipsoidal uncertainty is significant for quantifying and modeling parameter uncertainties. This paper addresses the gap by focusing on (Formula presented.) analysis and control of FOSs with ellipsoidal parametric uncertainty, where the fractional order is delimited to the range (Formula presented.). Two distinct categories of ellipsoidal parameter uncertainty models are considered: one corresponding to FOSs with uncertain zero positions and the other to FOSs with uncertain pole and zero positions. First, sufficient conditions for the (Formula presented.) performance analysis of FOSs with ellipsoidal parametric uncertainty are established by extending the (Formula presented.) bounded real lemma for FOSs. Next, the problems of (Formula presented.) controller synthesis are analyzed, and the state feedback (Formula presented.) controllers are designed, along with the establishment of sufficient conditions for stabilization. These conditions are given in the form of linear matrix inequalities (LMIs). Lastly, several numerical examples are provided to verify the effectiveness of the proposed results. © 2025 John Wiley & Sons Ltd.

关键词： State feedback

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Experimental deformation of shales at elevated temperature and pressure:Pore-crack system evolution and its effects on shale gas reservoirs

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Petroleum Science 2024年第6期21卷 3754-3773页

作者： Yi-Wen Ju Xin-Gao Hou Kui Han Yu Song Lei Xiao Cheng Huang Hong-Jian Zhu Li-Ru Tao Key Laboratory of Earth System Numerical Modeling and Application College of Earth and Planetary SciencesUniversity of Chinese Academy of SciencesChinese Academy of SciencesBeijing100049China Key Laboratory of Earth Exploration and Information Technique Ministry of EducationCollege of GeophysicsChengdu University of TechnologyChengdu610059SichuanChina Key Laboratory of Coalbed Methane Resource&Reservoir Formation Process Ministry of EducationSchool of Resources&Earth ScienceChina University of Mining and TechnologyXuzhou221116JiangsuChina

Although many studies based on naturally deformed samples have been carried out to investigate the pore-crack characteristics of shales,studies based on high temperature(T)and high pressure(P)deformation experiments,which can exclude sample heterogeneity factors,simulate deep T-P conditions,and generate a continuous deformation sequence,are still *** this study,shales with different deformation levels are generated by triaxial compression experiments,and methods including scanning electron microscopy,mercury injection,and gas sorption are utilized to characterize their influence factors and pore-crack *** indicate that T is the primary factor influencing shale deformation when P is low,while P is dominant under high P *** T<90℃ and P<60 MPa,shales undergo brittle deformation and their macropores decrease due to the compaction of primary pores,while mesopores increase because of the interconnection of *** 90℃200℃ and P>110 MPa,shales are subjected to ductile deformation,and their micro-and mesopores drop significantly due to the intense compaction in the matrix while macropores continuously increase with crack *** permeability of shale increases with the degree of deformation and ductile material contents are predicted to be a key factor determining whether open microcracks can be preserved after ductile *** account for these experimental results,an ideal model of micro pore-crack system evolution in deformed shales is further proposed,which can provide guidance for the exploration of shale gas resources in the deep or structurally complex zones.

关键词： Shale Deformation experiment Microscopic structure Pore-crack system Shale gas reservoir

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A Timeslot Clustering-Based Hybrid Traffic Scheduling in Time-Sensitive Networking 22

A Timeslot Clustering-Based Hybrid Traffic Scheduling in Tim...

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22nd IEEE International Conference on Industrial Informatics, INDIN 2024

作者： Yang, Zhihao Wang, Shouliang Xu, Qimin Li, Xin Chen, Cailian Department of Automation Shanghai Jiao Tong University Shanghai 200240 China Key Laboratory of System Control and Information Processing Ministry of Education of China

ISBN: (纸本)9798331527471

The development of Industrial Internet of Things necessitates deterministic transmission of hybrid traffic with varying real-time requirements. Time-Sensitive Networking offers schemes combining scheduling mechanisms like the Time-Aware Shaper (TAS) and Cyclic Queuing and Forwarding (CQF). Current methods utilize the combination of TAS&CQF to schedule Time-Triggered (TT) and Audio-Video Bridging (AVB) traffic under corresponding mechanisms, respectively. However, the prior TT traffic orchestration restricts the scheduling solution space of AVB traffic, decreasing the effectiveness of combination and finally resulting in low schedulability. In this paper, we focus on enhancing the schedulability of TT&AVB scheduling by integrating TAS and Cyclic Specified Queuing and Forwarding (CSQF), which brings larger scheduling solution space to AVB traffic. The integration of TAS&CSQF is proposed by analyzing the impact of TAS on CSQF to expand the allocatable resource for AVB traffic. Then TAS&CSQF scheduling model is formulated to ensure deterministic requirements. Within this model, Timeslot Clustering Optimization (TCO) is proposed to optimize the scheduling solution space of AVB traffic and slice timeslot by refining the scheduling of TAS. Based on TCO, Flow Congestion Metric (FCM) is designed to improve schedulability by the congestion level of each link. An FCM-based algorithm is further presented to generate TT&AVB solutions incrementally. Simulation results demonstrate that our method reduces scheduling time cost by over 168 times and improves schedulability by 32% for 3000 flows compared to existing methods. © 2024 IEEE.

关键词： Traffic congestion

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OIDM: An Observability-based Intelligent Distributed Edge Sensing Method for Industrial Cyber-Physical systems 63

OIDM: An Observability-based Intelligent Distributed Edge Se...

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63rd IEEE Conference on Decision and control, CDC 2024

作者： Wang, Shigeng Jin, Tiankai Ma, Yehan Chen, Cailian Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education of China Department of Automation Shanghai200240 China

ISBN: (纸本)9798350316339

Industrial cyber-physical systems (ICPS) integrate physical processes with computational and communication technologies in industrial settings. With the support of edge computing technology, it is feasible to schedule large-scale sensors for efficient distributed sensing. In the sensing process, observability is the key to obtaining complete system states, and stochastic scheduling is more suitable considering uncertain factors in wireless communication. However, existing works have limited research on observability in stochastic scheduling. Targeting this issue, we propose an observability-based intelligent distributed edge sensing method (OIDM). Deep reinforcement learning (DRL) methods are adopted to optimize sensing accuracy and power efficiency. Based on the system's ability to achieve observability, we establish a bridge between observability and the number of successful sensor transmissions. Novel linear approximations of observability criteria are provided, and probabilistic bounds on observability are derived. Furthermore, these bounds guide the design of action space to achieve a probabilistic observability guarantee in stochastic scheduling. Finally, our proposed method is applied to the estimation of slab temperature in industrial hot rolling process, and simulation results validate its effectiveness. © 2024 IEEE.

关键词： Stochastic systems

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Robust Stability of Linear Time-Invariant systems with Hybrid Uncertainties

Robust Stability of Linear Time-Invariant Systems with Hybri...

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2023 International Conference on Automation, control and Electronics Engineering, CACEE 2023

作者： Li, Yangxuan Lu, Junguo Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Department of Automation Shanghai China

ISBN: (纸本)9798350309201

This paper presents a study on the robust stability analysis of linear time-invariant systems with parameter uncertainties and norm-bounded uncertainties. By utilizing the structured singular value, necessary and sufficient conditions for robust stability are derived. Based on the stability condition, the stability margin of the uncertain system is obtained from the skewed structured singular value. Additionally, numerical simulation results are provided to validate the effectiveness of the proposed methods. © 2023 IEEE.

关键词： Linear time-invariant system

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3D Machine Vision Enabled Shrinkage Pin Detection of Aviation Connectors in the Aircraft EWIS 43

3D Machine Vision Enabled Shrinkage Pin Detection of Aviatio...

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43rd Chinese control Conference, CCC 2024

作者： Wang, Yao Ren, Cheng Xu, Jiaxin Chen, Cailian Guan, Xinping Shanghai Jiao Tong University And Key Laboratory of System Control and Information Processing Ministry of Education of China Department of Automation Shanghai200240 China

ISBN: (纸本)9789887581581

Aviation connectors are responsible for information and energy transmission in the aircraft electrical wiring interconnection system (EWIS). Even a tiny shrinkage of any connector pin may lead to a critical impact on the reliability and stability of the EWIS. However, the current detection method of connector pin shrinkage mainly relies on manual visual inspection, which is prone to missed and false detection. Additionally, traditional 2D machine vision methods face challenges in dealing with fine pins and deep calibers of connectors. To address this issue, this paper designs a defect detection device and proposes a 3D-enabled shrinkage pin detection (3D-SPD) algorithm. For the device, a 4-degree-of-freedom (4-DOF) support mechanism is designed to collect the connector point cloud based on the imaging principle of a 3D structured light camera. Then, a preprocessed method is presented to extract defective regions from the raw point cloud. Finally, 3D-SPD algorithm can automatically select the reference plane and detect the pin position, enabling online detection of connector shrinkage pins. Experiment results show that 3D-SPD algorithm is effective in detecting shrinkage pin defects on various types of aviation connectors, with an accuracy rate of 98.62% and a shrinkage pin detection rate of 100%. © 2024 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Machine vision

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State-of-Charge Balancing control for Battery Energy Storage systems of Near-Space Vehicles with an Electric-Thermal-Aging Coupling Model 42

State-of-Charge Balancing Control for Battery Energy Storage...

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42nd Chinese control Conference, CCC 2023

作者： Zuo, Zhiqiang Du, Yunhao Wang, Yijing Zhang, Zhicheng Li, Peng School of Electrical and Information Engineering Tianjin Key Laboratory of Intelligent Unmanned Swarm Technology and System Tianjin University Tianjin300072 China Ministry of Education Key Laboratory of System Control and Information Processing Shanghai200240 China

ISBN: (纸本)9789887581543

State-of-charge (SoC) balancing is crucial for improving the efficiency and lifetime of the battery energy storage system in near-space vehicles. In this paper, the SoC balancing control problem is investigated by a coupling battery model with electric-thermal-aging dynamics. Firstly, a system identification experiment is carried out to obtain the internal parameters of the battery. Secondly, a weight optimization index is designed by integrating the balancing speed and battery state-of-health (SoH). Then, a receding horizon control algorithm is proposed to realize multi-unit battery SoC balancing with partial swarm optimization (PSO). Finally, the effectiveness of the proposed strategy is verified by simulation results. © 2023 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Battery management systems

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