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13th IEEE Data Driven control and Learning Systems Conference, DDCLS 2024

作者： Tan, Shuli Zhang, Xiufeng Yang, Chunxi Kunming University of Science and Technology Faculty of Mechanical and Electrical Engineering Kunming China Yunnan Key Laboratory of Intelligent Control and Application Yunnan Kunming650504 China

ISBN: (纸本)9798350361674

In this paper, the problem of consensus tracking for multi-agent systems in the presence of noise inter-ference is investigated. Unlike the traditional model-based approach, this paper assumes that the dynamics of all agents are unknown and only a portion of the input-state data is available. The offline data contaminated with noise interference is utilized. By introducing the matrix S-lemma, a necessary and sufficient conditions for directly designing consensus tracking controllers from bounded noisy input-state data is given. This method can be applied to large datasets and effectively addresses computational challenges associated with extensive data. Simulation result illustrates the effectiveness of the theoretical analysis. © 2024 IEEE.

关键词： Multi agent systems

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Research on PCB Defect Detection Method Based on Deep Learning 5

Research on PCB Defect Detection Method Based on Deep Learni...

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5th International Conference on Computer Engineering and intelligent control, ICCEIC 2024

作者： Hu, Tao Lu, Yanfeng Liu, Cong Zhuang, Deyu State Key Laboratory of Intelligent Coal Mining and Strata Control Shanghai China China Coal Technology and Engineering Group Shanghai Company Ltd Shanghai China

ISBN: (纸本)9798331507992

Due to the small size of defects on printed circuit board (PCB), traditional image processing methods often result in missed detections and high computational costs. This paper proposes a PCB defect detection algorithm based on an improved YOLOv8n model. In the backbone, the C2f module is combined with spatial and channel reconstruction convolution (SCConv) to reduce redundant features and significantly decrease model complexity. In the neck section, a context anchor attention (CAA) mechanism is introduced, which adaptively assigns higher weights to important features, enhancing the model's ability to capture small defects and effectively suppress background noise and irrelevant information. Experimental results on public datasets show that the proposed method achieves significant improvements in precision and mAP@0.5, with increases of 3.0% and 2.2%, respectively, compared to YOLOv8n. The proposed algorithm offers an efficient and practical solution for PCB defect detection, delivering high performance and significant application value. © 2024 IEEE.

关键词： Image reconstruction

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A joint sparse Bayesian learning for wideband DOA estimation

A joint sparse Bayesian learning for wideband DOA estimation

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2024 Conference on Spectral technology and Applications, CSTA 2024

作者： Zhao, Yonghong Liu, Jisong Wang, Junlong Dong, Shuxin Shannxi Key Laboratory of Complex System Control and Intelligent Information Processing Department of Automation and Information Engineering Xi'an University of Technology Shaanxi Xi'an710048 China

ISBN: (纸本)9781510683082

Wideband direction of arrival (DOA) estimation using sensor array is a noteworthy problem frequently occurring in many applications involving radar, sonar, and communication. We present a wideband DOA method based on a sparse Bayesian learning of multiple sub-bands jointly with the redundant dictionary matrix at the reference frequency. Explicitly enforcing the focusing operation and the singular value decomposition (SVD) to sensor measurements is motivated by a desire to decrease the computational complexity and storage capacity. A joint sparse Bayesian learning framework is proposed to deal with multiple sub-bands under one segment to obtain the DOA information. Moreover, the proposed method can be directly extended to multiple segments. Comparing to other wideband DOA estimation methods, the proposed method has the advantages of increased resolution, higher accuracy, and correlation of the sources, as well as not requiring the initial angles for the focusing matrix. Simulations are provided to show the effectiveness and improved performance of the proposed method. © 2024 SPIE.

关键词： Direction of arrival

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Interleaved Flyback Photovoltaic Microinverters with PI and Repetitive control

Interleaved Flyback Photovoltaic Microinverters with PI and ...

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2024 CPSS and IEEE International Symposium on Energy Storage and Conversion, CPSS and ISESC 2024

作者： Tian, Minwei Zeng, Hanchao Zheng, Xiangrong Zhang, Damin Zheng, Xueqin School of Electrical Engineering and Automation Xiamen University of Technology Xiamen China Xiamen Key Laboratory of Frontier Electric Power Equipment and Intelligent Control Xiamen University of Technology Xiamen China

ISBN: (纸本)9798350380514

The grid-connected current output from a flyback photovoltaic microinverter is prone to distortion due to nonlinear factors such as switching tube dead zones, driving asym-metry and grid voltage disturbances. Aiming at the traditional PI control which cannot effectively improve the influence of nonlinear factors, this paper proposes an interleaved flyback photovoltaic microinverter based on PI and repetitive control, and in-depth research on the circuit topology, control strategy and the design method of the PI and repetitive controller of this inverter is carried out. Simulation results show that the Photo-voltaic micro-reverse grid-connected current with PI and repet-itive control is of high quality, with better dynamic performance and anti-interference capability, while realizing the maximum power point tracking. © 2024 IEEE.

关键词： Electric power transmission networks

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Cooperative Hierarchical Coverage control of Multi-Agent Systems with Non-holonomic Constraints in Poriferous Environments

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IEEE Transactions on control of Network Systems 2025年第2期12卷 1512-1520页

作者： Zou, Jiayu Zhang, Hai-Tao Zhai, Chao Xing, Ning Ma, Yong Liu, Xingjian Huazhong University of Science and Technology School of Artificial Intelligence and Automation The MOE Engineering Research Center of Autonomous Intelligent Unmanned Systems The State Key Laboratory of Digital Manufacturing Equipment and Technology Wuhan430074 China China University of Geosciences School of Automation China The MOE Engineering Research Center of Intelligent Technology for Geo-Exploration Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China Academician Workstation of China COSCO Shipping Corporation Ltd. Shanghai200120 China Wuhan University of Technology Sanya Science and Education Innovation Park Sanya572000 China Wuhan University of Technology Chongqing Research Institute Chongqing401120 China

It has long posed a challenging task to optimally deploy multi-agent systems (MASs) to cooperatively coverage poriferous environments in real cooperative detection applications. In response to this challenge, this paper proposes a hierarchical coverage control (HCC) protocol for MASs to perform sector-based coverage operations. First, a distributed Voronoi partition-based sweep-and-assign protocol, combined with a sectorial partition method, is developed, enabling the segmentation of a whole poriferous region into multiple sectorial sub-subregions. Following this procedure, an extreme search scheme is developed to determine the optimal amount of agents for each subregion. After this allocation, a distributed controller is proposed to deploy the agents, considering non-holonomic constraints, into designated niche positions. Additionally, sufficient conditions are derived to guarantee the asymptotical stability of the present HCC. The analytical challenge of the present study stems from the non-convex characteristics inherent in the loss function induced by porous environments. This non-convexity renders the task of globally optimizing the assignment of MASs intractable. Finally, numerical simulations are conducted to validate the effectiveness of the present coverage control approach. © 2014 IEEE.

关键词： Nonlinear control systems

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Digital reconstruction of three-dimensional contours and its application to microstructural evaluation of postblast rock fissure surfaces

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Deep Underground Science and Engineering 2025年第2期4卷 316-328页

作者： Yanbing Wang Zhaoyang Wang Dairui Fu Mingwei Gang School of Mechanics&Civil Engineering China University of Mining and Technology-BeijingBeijingChina National Key Laboratory of Disaster Prevention and Control and Intelligent Construction and Maintenance of Tunnel Engineering BeijingChina Graduate School of Engineering Hokkaido UniversitySapporoJapan

Fracture surface contour study is one of the important requirements for characterization and evaluation of the microstructure of *** on the improved cube covering method and the 3D contour digital reconstruction model,this study proposes a quantitative microstructure characterization method combining the roughness evaluation index and the 3D fractal dimension to study the change rule of the fracture surface morphology after *** method was applied and validated in the study of the fracture microstructure of the rock after *** results show that the fracture morphology characteristics of the 3D contour digital reconstruction model have good correlation with the changes of the blasting *** undulation rate of the three-dimensional surface profile of the rock is more prone to dramatic rise and dramatic fall *** terms of tilting trend,the tilting direction also shows gradual disorder,with the tilting angle increasing *** the roughness evaluation indexes of the rock fissure surface after blasting show a linear and gradually increasing trend as the distance to the bursting center increases;the difference between the two-dimensional roughness evaluation indexes and the three-dimensional ones of the same micro-area rock samples also becomes increasingly larger,among which the three-dimensional fissure roughness coefficient JRC and the surface roughness ratio Rs display better *** with the linear fitting formula of the power function relationship,the three-dimensional fractal dimension of the postblast fissure surface is fitted with the values of JRC and Rs,which renders higher correlation coefficients,and the degree of linear fitting of JRC to the three-dimensional fractal dimension is *** fractal characteristics of the blast-affected region form a unity with the three-dimensional roughness evaluation of the fissure surface.

关键词： cube covering method evaluation of damage characterization fractal dimension roughness three-dimensional contour scanning

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25HZ Phase-Sensitive Rail Circuit Principle and Troubleshooting Analysis 8

25HZ Phase-Sensitive Rail Circuit Principle and Troubleshoot...

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8th International Conference on Electromechanical control technology and Transportation, ICECTT 2023

作者： Cheng, Zihan Kuang, Wenzhen Key Laboratory of Optoelectronic Technology and Intelligent Control Ministry of Education Lanzhou Jiaotong University China Gansu Industrial Transportation Automation Engineering Technology Research Center Lanzhou Jiaotong University China Gansu Province Rail Transit Signal and Control Evaluation Industry Technology Center Lanzhou Jiaotong University China

ISBN: (纸本)9781510668331

This paper starts from the schematic diagram of 25HZ phase-sensitive rail circuit, analyzes the circuit principle and fault phenomenon, and gives the common fault contacts of 25HZ phase-sensitive rail circuit. It also points out how to locate the specific fault location efficiently and quickly when the fault occurs, in order to guide the field electrical personnel to find and deal with the fault quickly. © 2023 SPIE.

关键词： Timing circuits

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A spintronic memristive circuit on the optimized RBF-MLP neural network

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Chinese Physics B 2022年第11期31卷 272-283页

作者： Yuan Ge Jie Li Wenwu Jiang Lidan Wang Shukai Duan School of Artificial Intelligence Southwest UniversityChongqing 400715China Chongqing Brain Science Collaborative Innovation Center Chongqing 400715China Brain-inspired Computing and Intelligent Control of Chongqing Key Laboratory Chongqing 400715China National&Local Joint Engineering Laboratory of Intelligent Transmission and Control Technology Chongqing 400715China

A radial basis function network(RBF)has excellent generalization ability and approximation accuracy when its parameters are set ***,when relying only on traditional methods,it is difficult to obtain optimal network parameters and construct a stable model as *** view of this,a novel radial basis neural network(RBF-MLP)is proposed in this *** connecting two networks to work cooperatively,the RBF’s parameters can be adjusted adaptively by the structure of the multi-layer perceptron(MLP)to realize the effect of the backpropagation updating ***,a genetic algorithm is used to optimize the network’s hidden layer to confirm the optimal neurons(basis function)number *** addition,a memristive circuit model is proposed to realize the neural network’s operation based on the characteristics of spin *** is verified that the network can adaptively construct a network model with outstanding robustness and can stably achieve 98.33%accuracy in the processing of the Modified National Institute of Standards and technology(MNIST)dataset classification *** experimental results show that the method has considerable application value.

关键词： radial basis function network(RBF) genetic algorithm spintronic memristor memristive circuit

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Distributed Robust MPC Based Lateral control of Vehicle Platoons 42

Distributed Robust MPC Based Lateral Control of Vehicle Plat...

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42nd Chinese control Conference, CCC 2023

作者： Weng, Zhixiang Li, Panshuo Mao, Xingyan School of Automation The Guangdong Provincial Key Laboratory of Intelligent Decision and Cooperative Control Guangdong University of Technology Guangzhou510006 China

ISBN: (纸本)9789887581543

The lateral control of vehicle platoons, which ensures that the vehicle can follow its leader in lane change and turn scenarios, is important in practice. This paper studies lateral control of vehicle platoons under external disturbance and communication delay. A lateral dynamic characteristics model of vehicle platoons based on path-following strategy is established. Then the distributed robust model predictive control strategy is adopted, where the minimum robust positive invariant set is used to characterize the influence of the external disturbance on the actual system state and the model predictive method is employed to control the nominal system. In order to ensure the lateral disturbance string stability of vehicle platoons, a condition of model predictive controller is provided. Simulation results in different steering scenarios demonstrate the merits of the proposed method. © 2023 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Vehicles

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Event-Triggered Neural Tracking control of Cable-Driven Lower-Limb Exoskeleton Robots 13

Event-Triggered Neural Tracking Control of Cable-Driven Lowe...

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13th IEEE Data Driven control and Learning Systems Conference, DDCLS 2024

作者： Zhang, Hongqiang Zhang, Faxiang Na, Jing Gao, Guanbin Kunming University of Science and Technology Faculty of Mechanical and Electrical Engineering Kunming650500 China Yunnan Key Laboratory of Intelligent Control and Application Kunming650500 China

ISBN: (纸本)9798350361674

This paper gives an event-triggered neural tracking control strategy for cable-driven lower-limb exoskeleton robots. To reduce the number of triggers and prevent the jitter of the control signal, a switching threshold is used to drive the event trigger, which is different from the traditional trigger cases of fixed and relative thresholds. Firstly, a neural network (NN) is adopted to approximate the unknown nonlinear function, with the extracted estimation error being new leakage terms developed to update the weight of NN. Then an adaptive controller is designed to achieve the uniformly ultimately bounded(UUB) performance of the closed-loop system, and at the same time both transient and steady-state performance of the tracking error is guaranteed via a predefined performance function. Finally, the effectiveness of the proposed method is verified by simulation. © 2024 IEEE.

关键词： Exoskeleton (Robotics)

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