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High-Resolution Synthetic Aperture Imaging Algorithm for Terahertz 3

High-Resolution Synthetic Aperture Imaging Algorithm for Ter...

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3rd international conference on Defence Technology, ICDT 2022

作者： Wang, Guanwen Liu, Zhaoyang School of Information Science and Engineering Shenyang University of Technology Shenyang110870 China Shenyang Institute of Automation Chinese Academy of Sciences Shenyang110169 China Key Laboratory of Liaoning Province in Terahertz Imaging and Sensing Shenyang110169 China Key Laboratory of Opto-Electronic Information Processing Chinese Academy of Sciences Shenyang110169 China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang110169 China

The reconstruction and recovery of targets in the terahertz band has always been a direction for the improvement of synthetic aperture radar imaging algorithms. In order to improve the imaging resolution of the target, the scattering principle of electromagnetic waves to the target is analyzed. Through model establishment and formula derivation, the propagation process between the electromagnetic wave and the target is obtained, and the simulation and experiment verify that the corresponding algorithm can greatly improve the accuracy of target recovery. © Published under licence by IOP Publishing Ltd.

关键词： Electromagnetic waves

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Nested Deep Feature Attention Module for Underwater Image Enhancement 3

Nested Deep Feature Attention Module for Underwater Image En...

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3rd international conference on Computer, Big Data and Artificial Intelligence, ICCBDAI 2022

作者： Xiao, Yeqing Wang, Qiang Li, Yupeng Tang, Yandong School of Computer Science and Engineering Shenyang Jianzhu University Shenyang110168 China Key Laboratory of Manufacturing Industrial Integrated Shenyang University Shenyang110044 China State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang110016 China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang110169 China

The captured underwater images always suffer degradations because of absorption and light scattering in water. Thus, underwater image enhancement becomes indispensable as a precondition to carry out underwater tasks. Thus, we put forward an end-to-end structure to solve the problem of underwater image degradation. Our network uses continuously stacked deep-layer feature extraction modules to exploit more significant features. For purpose of enhancing the image contrast, we recover high-frequency information by hiring the nested residual attention groups in feature extraction modules, which can adaptively extract more deeper features. Moreover, channel attention module is hired in residual groups to emphasize important information. Comparing with other state-of-the-art approaches, our network performs best on quantitative and qualitative evaluations at datasets EUVP and UIEBD. © Published under licence by IOP Publishing Ltd.

关键词： Feature extraction

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Third international conference on Image Processing and Intelligent control, IPIC 2023

Third International Conference on Image Processing and Intel...

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3rd international conference on Image Processing and Intelligent control, IPIC 2023

ISBN: (纸本)9781510668140

The proceedings contain 54 papers. The topics discussed include: image recognition and position technology based on super-pixel fuzzy C-means clustering in industrial assembly systems;a method of extracting outer eye corners of terra cotta warriors based on point cloud data;research on UI design and optimization of digital media with artificial intelligence;video description method with fusion of instance-aware temporal features;a multi-modal information fusion-based method for repairing cracks in train hooks;research on optical detection technology for underwater archaeology;discharging state recognition method of intelligent ring network cabinet based on audio signal spectrum analysis;numerical analysis and calculation of urban landscape spatial pattern;and sparse signal recovery for multispectral demosaicking using pseudo-panchromatic image.

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Data -Driven Feedforward Compensation Tuning in Torque Vectoring control 3

Data -Driven Feedforward Compensation Tuning in Torque Vecto...

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3rd Modeling, Estimation and control conference (MECC)

作者： Senofieni, Rodrigo Corno, Matteo Savaresi, Sergio Matteo Politecn Milan Dipartimento Elettron Informaz & Bioingn Piazza Leonardo da Vinci 32 I-20133 Milan Italy

ISBN: (纸本)9781713872344

In automotive control, torque vectoring enhances a vehicle dynamical characteristic by independently allocating wheel torques. Torque vectoring algorithms are often based on some form of closed-loop yaw rate tracking, whose reference is generated according to the driver's steering input. Thus, unless the vehicle is equipped with steer-by -wire, from the torque vectoring point of view, the driver's input simultaneously acts as a reference and as a disturbance. This paper presents a method to explicitly consider this aspect in the torque vectoring design by means of a feedforward compensation. At first, we identify the plant model highlighting the effects of the driver input steer on the system. Then, we design the compensation term with X. techniques based on the identified model. This solution is then refined using a Data -Driven approach based on a Bayesian optimization algorithm. Results show that the compensation term can reduce the tracking error by 40% and the control effort by 35%.

关键词： Torque Vectoring Feedforward Compensation Electric vehicle H -infinity Bayesian optimization

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Study of heat transfer in heated garments based on the JOS-3 model 3

Study of heat transfer in heated garments based on the JOS-3...

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2023 3rd international conference on Computational Modeling, Simulation and Data Analysis, CMSDA 2023

作者： Yu, Tao Ou, Meilian School of Automation Guangxi University of Science and Technology Liuzhou Guangxi545006 China School of Electronic and Engineering Guangxi University of Science and Technology Liuzhou Guangxi545006 China

Body temperature prediction and control are important in cold environments or extreme temperatures. In this paper, a multi-segmented heated garment model based on J0S-3 thermoregulation is proposed, and the effects of multi-layer garments and air interlayers on human heat transfer are explored, as well as the role of heating pads in the heat transfer path. By comparison, the simulation results of the present study were found to align with the temperature change curves observed in available experimental data. Moreover, the root mean square of the overall core temperature and the root mean square of the skin temperature were both below 0.08°C and 0.36°C, respectively, which provided good prediction results. This study helps people to adapt to the environment with variable temperatures and has a great potential for development in body temperature prediction technology and application. © Published under licence by IOP Publishing Ltd.

关键词： Heat transfer

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ADAPTIVE STARING IMAGING control OF MICRO-SATELLITE BASED ON TARGET INFORMATION 3

ADAPTIVE STARING IMAGING CONTROL OF MICRO-SATELLITE BASED ON...

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3rd international conference on Mechanical, Aerospace and Automotive engineering, CMAAE 2023

作者： Zhang, Di Jun, Zhou Jianguo, Guo Huang, He Li, Zhen School of Astronautics Northwestern Polytechnical University Xi’an71002 China

ISBN: (纸本)9781839539954

Due to the narrowness of satellite imaging width and the limitation of location information accuracy, and the lack of accurate geographic information of unknown targets, the remote sensing Micro-Satellite stares planned area and actually obtains less high-value target image information such as ships and aircraft. To solve the problem of staring imaging, this paper proposes a robust adaptive attitude control method based on online image target information extraction and introducing control loop. In this paper, a robust adaptive tracking controller is designed base on estimating and predicting the vector deviation of the moving target relative to the satellite with the Extended Kalman filter. This method uses the double star-sensitive double vector attitude determination algorithm, combined with the vector deviation of the target relative to the image centre pixel. Then the stability of the nonlinear system is proved by Lyapunov method. At last, the mathematical simulation results show that this method can improve the image acquisition of more target information, the target information is concentrated in the central position of the image, and the imaging attitude has a high stability. © The Institution of engineering & Technology 2023.

关键词： Lyapunov methods

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Model-based and Koopman-based predictive control: a braking control systems comparison 3

Model-based and Koopman-based predictive control: a braking ...

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3rd Modeling, Estimation and control conference (MECC)

作者： Sassella, Andrea Breschi, Valentina Korda, Milan Formentin, Simone Politecn Milan Dipartimento Elett Informat & Bioingn DEIB Piazza Leonardo da Vinci 32 I-20133 Milan Italy Eindhoven Univ Technol Eindhoven Netherlands CNRS LAAS F-31400 Toulouse France Czech Tech Univ Fac Elect Engn Prague 16626 Czech Republic

ISBN: (纸本)9781713872344

Anti-locking Braking systems are crucial safety systems in modern vehicles. In this work, we investigate the possibility to use Model Predictive control (MPC) for braking systems by considering three different models identified from data. Specifically, we consider two models, whose structure and the identification procedure are driven by physics principles, and a third black-box modeling approach that relies on Koopman theory. By comparing the effectiveness of the three resulting MPC schemes in a high-fidelity simulation environment, we show that Koopman-based MPC can generally be a viable solution for the design of braking controllers, which might not be the case of nonlinear MPC or approximated scheme like the second one we test. Copyright (c) 2023 The Authors. This is an open access article under the CC BY-NC-ND license (https://***/licenses/by-nc-nd/4.0/)

关键词： Koopman control Braking control Nonlinear predictive control Model predictive and optimization-based control Nonlinear and optimal automotive control

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Integrated Guidance and control Design for Guided Projectile Using Sliding Mode Method 3

Integrated Guidance and Control Design for Guided Projectile...

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3rd international conference on Defence Technology, ICDT 2022

作者： Guan, Jun Yi, Wenjun School of Electronic and Information Jiangsu University of Science and Technology Zhenjiang212100 China National Key Laboratory of Transient Physics Nanjing University of Science and Technology Nanjing210094 China

According to the characteristics of special launch and flight environment such as high dynamic and large disturbance of guided projectile, the separate design method of traditional guidance system and control system will bring large errors, even affect the stability of the system, and the accuracy of projectile hitting the target is poor. In this paper, the guidance and control integrated control law of guided projectile is designed based on the sliding mode variable structure theory. The correctness, accuracy and stability of the designed control law are verified by numerical simulation. Numerical simulation shows that the guidance control integrated control law designed by sliding mode control theory can still have high control accuracy in the case of large perturbation. At the same time, Monte Carlo simulation shows that this method can meet the needs of engineering. © Published under licence by IOP Publishing Ltd.

关键词： Intelligent systems

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Application of Extreme Learning Machine for Shunt Faults Detection and Classification in Three-phase Transmission Line Systems 3

Application of Extreme Learning Machine for Shunt Faults Det...

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3rd IEEE international conference on Signal, control and Communication, SCC 2023

作者： Assadi, Khaoula Slimane, Jihane Ben Salhi, Salah University of Tunis El Manar National Engineering School of Tunis LR11ES20 Analysis Design and Control of Systems Laboratory Tunis1002 Tunisia Northern Border University Faculty of Computing and InformationTechnology Department of Computer Sciences Rafha91911 Saudi Arabia

ISBN: (纸本)9798350326390

The electrical power transmission lines play a crucial role in maintaining a continuous electricity supply. However, the exposed environment of these lines increases the risks of faults occurrence, necessitating prompt detection, and classification, to eliminate them within a specified time. In light of this, the present study introduces a methodology for the detection and classification of faults in a three-phase transmission line system employing the Extreme Learning Machine (ELM). A 220 kV, 300 km three-phase transmission line system was simulated in MATLAB/Simulink software, where the current and voltage signals were generated under different fault conditions including fault types, fault inception time, and fault resistance. The fundamental components of these signals were used as inputs in the ELM model. Different shunt fault types, including line-to-ground, line-to-line, double-line-to-ground, triple-line, and triple-line-to-ground were applied for fault detection and classification framework. Furthermore, the optimum number of hidden neurons in the ELM model was investigated in this study. In terms of the Mean Squared Error (MSE) and correlation coefficient, four ELM variants based on Sine, Sigmoid, Radial Basis, and Triangular Basis transfer functions were assessed for each module. The outcome of these metrics indicates that the ELM with the sigmoid model demonstrated superior performance compared to the other ELM models. Based on statistical metrics MSE, Root Mean Squared Error (RMSE), and Mean Absolute Error (MAE), and also the computational time, the efficiency of ELM-Sigmoid and state-of-the-art methods of Multi-Layer Perceptron Neural Network (MLPNN) and Radial Basis Function Neural Network (RBFNN) were compared and analyzed during training and testing phases. The results obtained revealed that the ELM-Sigmoid model outperforms the other models in the detection and classification of shunt faults with significant accuracy and fast computational speed. ©

关键词： Fault detection

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3rd international Symposium on Dynamics and Aerodynamics of Cables, ISDAC 2023

3rd International Symposium on Dynamics and Aerodynamics of ...

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3rd international Symposium on Dynamics and Aerodynamics of Cables, ISDAC 2023

The proceedings contain 31 papers. The special focus in this conference is on Dynamics and Aerodynamics of Cables. The topics include: Propagation of the Uncertainty in the Dynamic Behavior of ...

ISBN: (纸本)9783031471513

The proceedings contain 31 papers. The special focus in this conference is on Dynamics and Aerodynamics of Cables. The topics include: Propagation of the Uncertainty in the Dynamic Behavior of OPGW Cables Under Stochastic Wind Load;investigation of Ice Accretion Conditions in Observed Galloping Events of Four-Bundled Conductor;the Influence of Ice Accretion Thickness on the Aerodynamic Behaviour of Stay Cables of Bridges;non-linear Dynamic Response of a Small-sag Cable Model of a Guy Line of a Guyed Tower to Stochastic Wind Excitation;review Study on Nonlinear Modeling Issues Associated with the Dynamics of In-Plane Cable Networks;force Measurements on Flexible Sagged Cable Undergoing Forced Vibration at a Single Point;wave Propagation-Based Assessment of Damage in Laboratory Samples of a Cable;full-Size Testing of Stay Cable Damping for the Assessment of Viscous Damper Efficiency;vibration Excitation and Damping of Suspension Bridge Hanger Cables;novel Position control for Ensuring Feasible Tension Distribution of Cable-Driven Parallel Manipulators;cable-Stayed Bridge Model Updating Through Analytical Formulation, Finite Element Model and Experimental Measurements;bayesian Identification of the Axial Forces, the Bending Stiffnesses, and the Connecting Point in Crossed Cables;comparison of Fatigue Lifetime Estimation of a Conductor Based on a Standard Vibration Device and Other Structural Health Monitoring System Sensors;on the Assessment and Mitigation of Vortex-Induced-Vibrations of Overhead Electrical Conductors;a Numerical Investigation on the Dynamic Response of Short Slack Cables;comparing Different Techniques of Determining Cable Forces from Vibration Measurements on a Cable-Stayed Arch Bridge;on the Seismic Response of Anchoring Elements for Submerged Floating Tunnels;general Modelling of Cable Vibrations Using Data Extracted from Physical Simulation.

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