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2024 China automation Congress, CAC 2024

作者： Xu, Yinhui Shan, Shuo Han, Gongben Fang, Shixiong Zhang, Kanjian Wei, Haikun Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education School of Automation Southeast University Nanjing China Shenzhen Research Institute Southeast University Shenzhen China

ISBN: (纸本)9798350368604

Stereo vision plays a crucial role in scientific expeditions and facility maintenance. However, fixed-baseline stereo vision lacks accuracy for long-distance measurements, while wide-baseline stereo vision encounters occlusion issues at short distances. In this study, a wide-baseline stereo matching based on multi-view geometric constraints is proposed. Initially, the camera poses of multiple wide-baseline images are estimated, followed by image rectification and depth estimation. Subsequently, the disparity searching is constrained using geometric relationships among the views, resulting in more precise depth maps. Experiments were conducted to verify the superiority of the proposed method. The results indicate that the proposed method achieves an RMSE as low as 0.15 meters, even with invalid depth points. Compared to traditional stereo vision methods, accuracy is improved by approximately 35%, and robustness is significantly enhanced. In the aircraft runway scenario, overall depth map accuracy is higher, and occluded areas are significantly reduced. © 2024 IEEE.

关键词： Stereo vision

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Predefined time backstepping control of photovoltaic grid connected inverter 6

Predefined time backstepping control of photovoltaic grid co...

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2023 6th International Conference on Power Electronics and control engineering, ICPECE 2023

作者： Xu, Zhao Ji, Yuehui Chen, Jiaqi Liu, Junjie The School of Electrical Engineering and Automation Tianjin University of Technology Tianjin300384 China Tianjin Key Laboratory for Control Theory and Applications in Complicated Industry Systems Tianjin300384 China

The large-scale grid connection of photovoltaic (PV) systems creates great hazards to the operation of power equipment and has a great impact on the stability and reliability of power systems. To achieve stable control and flexible management of PV grid connection, a predefined time adaptive backstepping control method based on the predefined boundary is proposed. Based on the predefined boundary time-varying function, the user's predefined boundary design of the control signal is accomplished to ensure the boundedness of the global signal, which is independent of the initial state of the system. The controller with predefined boundaries is designed based on backstepping control, and the estimation and compensation of perturbations are attained based on adaptive control. The global predefined time stability of the predefined boundary of the closed-loop system is certified using the Lyapunov function. Simulation studies attest to the performance of the predefined time control strategy. © Published under licence by IOP Publishing Ltd.

关键词： Lyapunov functions

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Dynamic Target Enclosing control Scheme for Multi-Agent Systems via a Signed Graph-Based Approach

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IEEE/CAA Journal of Automatica Sinica 2023年第2期10卷 560-562页

作者： Weihao Li Kaiyu Qin Mengji Shi Jingliang Shao Boxian Lin the School of Aeronautics and Astronautics University of Electronic Science and Technology of ChinaChengdu 611731 the Aircraft Swarm Intelligent Sensing and Cooperative Control Key Laboratory of Sichuan Province Chengdu 611731China the School of Automation Engineering University of Electronic Science and Technology of ChinaChengdu 611731China

Dear Editor,This letter investigates the target enclosing control problem of multi-agent systems.A signed graph-based control strategy is presented,where the agents are steered to enclose the dynamic target from both sides as they *** is inspired by the phenomenon that signed networks exhibit bipartite clustering if the underlying graph is structurally balanced,so that the agents may naturally enclose the zero point from opposite sides(+and.)if proper controllers are *** adopting a distributed observer to estimate the information of dynamic target。

关键词： networks agent Dynamic

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A Model Predictive control Based Robust Gait Generation with Turning Ability 8

A Model Predictive Control Based Robust Gait Generation with...

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8th IEEE International Conference on Advanced Robotics and Mechatronics, ICARM 2023

作者： Yang, Pengfei Yuan, Zhaohui Dong, Sheng Li, Jingchao School of Automation Northwestern Polytechnical University Shaanxi Xi'an710072 China School of Electrical and Control Engineering Shaanxi University of Science and Technology Shaanxi Xi'an710021 China

ISBN: (纸本)9798350300178

To enhance the anti-disturbance ability of biped robots and improve their full range of motion ability, this paper proposes a gait generation method based on model predictive control with turning ability, which can automatically generate gait trajectories with the given reference speed and turning speed. We integrate footstep positions into the objective function and use the change of center of pressure (CoP) as the optimal input to minimize the objective. The contribution of this paper is considering various feasible optimization constraints to generate gait trajectories online with anti-disturbance ability, adjustable stride, and turning ability. Simulation results show that this method can generate robust gait trajectories online and turn in any direction. © 2023 IEEE.

关键词： Trajectories

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Optimal Tracking Performance of Networked control Systems Under DoS and Its Applications

Optimal Tracking Performance of Networked Control Systems Un...

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2024 China automation Congress, CAC 2024

作者： Ren, Xinyu Li, Bo Zhao, Feng Chen, Xiangyong Zhang, Xianhe Jiang, Xiaowei School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation of Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan China School of Finance Anhui University of Finance and Economics Bengbu China Key Laboratory of Complex systems and Intelligent Computing in Universities of Shandong Linyi University Linyi China School of Automation and Electrical Engineering Key Laboratory of Complex systems and Intelligent Computing in Universities of Shandong Linyi University Linyi China School of Electrical Engineering and Automation Hubei Normal University Huangshi China

ISBN: (纸本)9798350368604

This paper investigates the optimal tracking performance (OTP) of multiple-input multiple-output (MIMO) discrete networked control systems (NCSs) under the influence of Denial of Service (DoS) attack, channel noise, and bandwidth constraints. The channel noise is assumed to be additive Gaussian white noise (AWGN). Due to the randomness of DoS attack, a Bernoulli distribution is used for DoS modeling. Utilizing frequency domain analysis methods, coprime factorization, all-pass decomposition, and Youla parameterization, an explicit expression for the optimal tracking performance (OTP) of the system under the two-degree-of-freedom (TDOF) controller is derived. The analysis indicates that non-minimum phase (NMP) zeros, unstable poles (UPs), DoS attack, and network constraints affect the OTP of NCSs. Finally, the theoretical results are validated through simulations of MIMO NCS and vehicle control system. © 2024 IEEE.

关键词： White noise

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Fault Diagnosis Method for On-Board Interface Equipment of CTCS-3 Based on Temporal Knowledge Graph Completion 21

Fault Diagnosis Method for On-Board Interface Equipment of C...

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21st International Conference on Networking, Sensing and control, ICNSC 2024

作者： Zhou, Bingyan Zhang, Daqian Lv, Jidong Liu, Hongjie Zhao, Zixu Luo, Zhengwei School of Automation and Intelligence Beijing Jiaotong University Beijing China Beijing Jiaotong University National Engineering Research Center of Rail Transportation Operation and Control System Beijing China

ISBN: (纸本)9798350365221

Chinese Train control System level 3 (CTCS-3) train control onboard equipment plays a crucial role in ensuring train safety and improving operational efficiency. And the on-board interface equipment enables the interaction between the on-board Automatic Train Protection (ATP), ground equipment, drivers, and trains. While its fault accounts for a relatively high proportion of faults, therefore, this paper proposed a fault diagnosis method for on-board interface equipment based on temporal knowledge graph completion. Firstly, this method introduces temporal series to integrate travel logs and fault statistics, which extract fault phenomena and perform entity alignment, construct the temporal knowledge graph. Secondly, on this basis, we constructed a fault diagnosis network based on knowledge graph completion, which incorporates the Temporal-Translating Embedding (T - TransE) vectorization algorithm, Bidirectional Long Short-Term Memory (Bi-LSTM), and Self-Attention (SA) mechanism for temporal feature extraction. Finally, the T - TransE vectorization model was pretrained using the on-board interface equipment fault data from a railroad station in recent years for selecting the most effective temporal integration method. In order to validate the superiority of the proposed fault diagnosis method and the effectiveness of the data combination method, the diagnostic network without data combination and temporal relationship introduction, and other common fault diagnostic networks, were tested using the on -board fault data. Compared with the following fault diagnosis methods, the model proposed in this paper achieved the highest fault diagnostic accuracy of 96.8%. © 2024 IEEE.

关键词： Knowledge graph

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Compensation Capacitor Status Monitoring Research Based on Feature Fusion and SVM 1

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18th Annual Conference of China Electrotechnical Society, ACCES 2023

作者： Shi, Jianqiang Zhang, Youpeng Chen, Guangwu School of Automation and Electrical Engineering Lanzhou Jiaotong University Lanzhou730070 China Key Laboratory of Gansu Province High Altitude Traffic Information Engineering and Control Lanzhou Jiaotong University Lanzhou730070 China

ISBN: (数字)9789819710720

ISBN: (纸本)9789819710713

In order to meet the needs of railway electrical departments for "state repair" of track circuit compensation capacitors and timely and effective monitoring of compensation capacitor status, this paper proposes a new method that combines the feature quantities decomposed from CEEMD and LMD algorithms and utilizes support vector machines for compensation capacitor status monitoring. Firstly, a ZPW-2000A track circuit model is established using KCL, KVL, and transmission line theory. By changing the capacitance value of the compensation capacitor, the shunt current curves of the compensation capacitor in each state are simulated. Then, the shunt current curves are decomposed into each order component using CEEMD and LMD, and fuzzy entropy is calculated and combined into a new feature vector. Finally, it is input into a trained multi-class SVM model for state monitoring. The experimental results show that the accuracy of compensating capacitor state monitoring is improved to 91% for a single decomposed feature after fusion. © Beijing Paike Culture Commu. Co., Ltd. 2024.

关键词： Capacitance

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Birdsong Classification Based On Hybrid CNN-LSTM Neural Network 38

Birdsong Classification Based On Hybrid CNN-LSTM Neural Netw...

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38th Youth Academic Annual Conference of Chinese Association of automation, YAC 2023

作者： Wang, Xin Ren, Chengcheng Yu, Tao He, Shuping Anhui University School of Electrical Engineering and Automation Hefei230601 China Anhui University Laboratoy of Aerodynamic Noise Control School of Artificial Intelligence Hefei230601 China

ISBN: (纸本)9798350303636

In this paper, wavelet packet denoising and data enhancement are used to deal with the problems of noisy background noise and small data volume in Birdsong Audio. The Mel frequency cepstral coefficients and Gammatone frequency cepstral coefficients extracted from the audio are fused to form a rich feature vector. In this paper, CNN and LSTM are combined to form a CNN-LSTM combined neural network model, which makes the network classification of birdsong more accurate. © 2023 IEEE.

关键词： Birdsong classification CNN-LSTM Data Enhancement Feature Fusion

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Iterative Learning Hybrid Robust Predictive control for Multi-Phase Batch Processes with Asynchronous Switching via a Lyapunov-Razumikhin Approach

IEEE Transactions on Industrial Cyber-Physical Systems

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IEEE Transactions on Industrial Cyber-Physical Systems 2023年 1卷 345-358页

作者： Li, Hui Wang, Shiqi Shi, Huiyuan Li, Ping Su, Chengli School of Electronics and Information Engineering University of Science and Technology Liaoning Anshan114051 China School of Information and Control Engineering Liaoning Petrochemical University Fushun113001 China State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang110819 China School of Information Engineering Liaodong University Dandong118001 China

For a class of the industrial cyber-physical system, i.e., multi-phase batch processes with small time-delays and asynchronous switching, this study develops a two-dimensional iterative learning hybrid robust predictive control method. Compared with the previous Lyapunov-Krasovsky function-based method, stability conditions given by the Lyapunov-Razumikhin function-based method is less conservative intensive in dealing with small time-delays. Not only that, compared to the traditional iterative learning method, the rolling-optimized gains of the control law make it possible for the designed controller to have fewer learning cycles, and the control performance is even better. Meanwhile, the minimum and the maximum dwelling times are obtained in conjunction with the exponential stability analysis of the system. Since the obtained dwelling times, an advanced switching signal is provided to avoid asynchronous switching situations. The simulation results for the injection molding process are finally utilized to illustrate the effectiveness and feasibility of the developed approach. © 2023 The Authors.

关键词： Time delay

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A Review of Wind Turbine Blade Morphing:Power,Vibration,and Noise

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Fluid Dynamics & Materials Processing 2025年第4期21卷 657-695页

作者： Md.Mahbub Alam Center for Turbulence Control School of Mechanical Engineering and AutomationHarbin Institute of Technology(Shenzhen)Shenzhen518055China

Wind turbines play a vital role in renewable energy *** review examines advancements in wind turbine blade morphing technologies aimed at enhancing power coefficients,reducing vibrations,andminimizing noise ***,vibration,and noise levels can be optimized through morphing techniques applied to the blade’s shape,leading edge,trailing edge,and ***-edge morphing is particularly effective in improving efficiency and reducing noise,as flow attachment and separation at the leading edge significantly influence lift and vortex *** technologies often draw inspiration from bionic designs based on natural phenomena,highlighting the potential of biomimicry to improve aerodynamic performance and energy *** fluid-structure interactions is critical to ensuring the lifespan,performance,and safety of wind turbine blades,which directly affect operational efficiency and noise *** review underscores the importance of comprehending the interdependencies between aerodynamics,vibration,and noise to guide future research and policy in sustainable wind energy *** summarizing key advancements in the field,this paper serves as a valuable resource for researchers,policymakers,and industry leaders involved in wind energy technologies.

关键词： Wind turbine blade morphing efficiency vibration noise bionic renewable energy

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