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检索条件"机构=Science and Technology on Electromechanical Dynamic Control Laboratory"

共 513 条记录，以下是141-150 订阅

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Nonlinear Spline Prioritization Optimization Adaptive Filter

Nonlinear Spline Prioritization Optimization Adaptive Filter

引用

International Conference on Guidance, Navigation and control, ICGNC 2022

作者： Guo, Wenyan Zhi, Yongfeng Gao, Huan School of Automation Northwestern Polytechnical University Xi’an710129 China Science and Technology on Electromechanical Dynamic Control Laboratory Xi’an710065 China

ISBN: (纸本)9789811966125

The nonlinear spline prioritization optimization adaptive filter (SPOAF) utilized for system identification is proposed to solve the poor steady-state accuracy caused by the mismatched feedback error of the adaptive strategy in spline adaptive filter (SAF). The FIR filter weight is designed to be updated based on the linear error of the linear module. Then, control point is updated according to the error of the whole system. Next, the least mean square algorithm (LMS) and stochastic gradient descent algorithm (SGD) are applied to the nonlinear spline prioritization optimization adaptive filter. Finally, the convergence performance of the proposed SPOAF approach is analyzed. The simulation confirms the effectiveness and efficiency of our proposed SPOAF algorithm. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Adaptive filters

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Fuze Echo Recognition Based on Improved V-G Convolutional Neural Network 13

Fuze Echo Recognition Based on Improved V-G Convolutional Ne...

引用

13th International Symposium on Antennas, Propagation and EM Theory, ISAPE 2021

作者： Huang, Dengdian Tian, Bo Li, Tie Hou, Yali Science and Technology on Electromechanical Dyamic Control Laboratory Xity China

ISBN: (纸本)9781665418126

In order to solve the problem that it is difficult for the traditional fuse target recognition algorithm to recognize the object with the same size as the target under the condition of ground object coupling and low signal-to-noise ratio, the V-G convolution neural network is used for Fuse echo The improved V-G convolution neural network is used in this method, and the data of laser and radio fuse missile target rendezvous is used as The improved V-G convolution neural network is used in this method, and the data of laser and radio fuse missile target rendezvous is used as the training library to identify the targets outside the library and classify the targets inside the library. The simulation results show that the recognition accuracy is more than 95%, and the fuse echo recognition can be carried out efficiently. © 2021 IEEE.

关键词： Convolution

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Research on weak signal detection based on wavelet-correlation detection algorithm 4

Research on weak signal detection based on wavelet-correlati...

引用

4th International Conference on Digital Signal and Computer Communications, DSCC 2024

作者： Cheng, Biyao Li, Ming Wang, Xiaozhuo Science and Technology on Electromechanical Dynamic Control Laboratory Xi’an710065 China Xi’an Institute of Electromechanical Information Technology Xi’an710065 China School of Astronautics Northwestern Polytechnical University Xi'an710072 China

ISBN: (纸本)9781510681538

The detection of weak signals has a wide range of applications in engineering. In this paper, a combined algorithm of wavelet transform and correlation detection is proposed to address the problems in current detection methods, namely the wavelet-correlation detection algorithm, to detect weak signals. By building a Simulink model on Matlab and implementing simulation through programming, the reliability of the algorithm is verified. The detection performance of the algorithm for weak signals in fixed noise and color noise environments is analyzed, and compared with the cross-correlation detection method. The results show that the wavelet-correlation detection algorithm can distinguish weak signal features from strong noise backgrounds. Taking the 5.2943dB input signal as an example, the wavelet- correlation detection algorithm improves the relative error of amplitude from 1.89% to 0.35%. Signal-to-noise ratio increased by 8.7638dB. © 2024 SPIE.

关键词： Wavelet transforms

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Research on Pulse Linear Array LiDAR Point Cloud Enhancement Algorithm in Snowy Environment 4

Research on Pulse Linear Array LiDAR Point Cloud Enhancement...

引用

4th International Conference on Defence technology, ICDT 2024

作者： Shi, Xiaolong Gao, Mingze Wu, Yanjiang Wang, Weihan Wang, Fengjie Han, Shaorong Chen, Huimin Science and Technology on Electromechanical Dynamic Control Laboratory Beijing Institute of Technology Beijing100081 China Shanghai Radio Equipment Research Institute Shanghai201109 China

LiDAR point cloud data acquisition is difficult in snowfall environment, which leads to fewer point cloud datasets in snowy days and affects the subsequent research on target recognition algorithms in bad weather. In this paper, we investigate a point cloud enhancement algorithm based on pulse linear array LiDAR in snowfall environment. We use a linear array data acquisition method to collect the point cloud data of sunny and snowy days, and the point cloud data of sunny days and different degrees of snowy days are compared. We establish a linear array pulse LiDAR acquisition model and a single-line laser snowfall simulation model. The results show that a large number of snow particles gather in the vicinity of pulse linear array LiDAR and they are conical in distribution. The simulation model can generate point cloud data close to the real snow environment. © 2024 Institute of Physics Publishing. All rights reserved.

关键词： Snow

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Time-series Data Modeling Guided by Visual Information 11

Time-series Data Modeling Guided by Visual Information

引用

2023 IEEE 11th International Conference on Information, Communication and Networks, ICICN 2023

作者： Zhang, Ke Wang, Junzheng Zhang, Xiang Shi, Yu Wang, Ting Beijing Institute of Technology School of Automation Beijing China Xi'An Institute of Electron-mechanical Information Technology Science and Technology on Electromechanical Dynamic Control Laboratory Xi'an China

ISBN: (纸本)9798350314014

Time-series data typically contain issues such as missing data and noise, which can impact the model's precision and stability. This paper proposes a Transformer structure-based visual information-guided temporal data modeling algorithm to address the issues as mentioned above. The algorithm effectively captures the time-series structure of the time-series data, thereby enhancing the model's precision and stability. To evaluate the performance of the proposed algorithm, a dataset containing visual information aligned with time-series data is compiled, and a comprehensive quantitative and qualitative analysis is performed. Conduct a comprehensive quantitative and qualitative analysis. The results indicate that visual information can assist time-series data in capturing the intricate dynamics of the time-series data, thereby enhancing the performance of the proposed algorithm and facilitating its comprehension. The results indicate that visual information can assist time-series data in capturing the complex dynamics of time-series data, and thus in comprehending and predicting their behavior and trends. The application of this algorithm will advance research in the field of modeling and predicting time series data. Applying this algorithm will advance research and practice in modeling and forecasting time series data. © 2023 IEEE.

关键词： Time series

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Research on the Cushioning Effect of Protective Materials under High Impact 6

Research on the Cushioning Effect of Protective Materials un...

引用

2020 6th International Forum on Engineering Materials and Manufacturing technology, IFEMMT 2020

作者： Chen, Runfeng Sui, Li Liu, Qiang Qiu, Qiangqiang Science and Technology on Electromechanical Dynamic Control Laboratory Beijing Institute of Technology Beijing China Northwest Industries Group Co. Ltd. Xi'an China

Aiming at the protection of the internal components of the projectile during penetration, the cushion performance of common protective materials such as polyurethane, felt, polytetrafluoroethylene (PTFE), and copper were tested. The test results show that the copper and felt have a certain cushioning effect, which can reduce the acceleration amplitude of 23,000 g by 18% and extend the pulse width of acceleration overload. The cushioning effect of PTFE material is not obvious, but it can play a role in mechanical filtering, making the acceleration curve smoother. Polyurethane material will increase the acceleration amplitude of the buffered part, it is not suitable as a buffer material. © Published under licence by IOP Publishing Ltd.

关键词： Copper

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Fabrication of a sidewall reflective optical switch by using FIB etching

Fabrication of a sidewall reflective optical switch by using...

引用

2024 International Conference on Next Generation Electronics and Photonics, INGEP 2024

作者： He, Zhen Cao, Jun Dai, Jun School of Mechatronical Engineering Beijing Institute of Technology Beijing100081 China Science and Technology on Electromechanical Dynamic Control Laboratory Beijing Institute of Technology Beijing100081 China

As a key device of micro-optical electromechanical system technology, silicon-based MEMS optical switches have become a frontier research hotspot in the current world of science and technology development. The mechanical analysis and structural design of sidewall reflective optical switch is straightforward. However the high roughness of the sidewall limits the application of MEMS sidewall reflective optical switches. This study proposes an effective method to process the sidewall surface by using focused ion beam (FIB) etching. The effect of FIB etching on an Si sidewall surface was experimentally investigated. The surface roughness of the sidewall mirror was improved from 126 nm to 5 nm. The improvement in FIB etching for a MEMS sidewall reflective optical switch was demonstrated. The output power of the MEMS sidewall reflective optical switch has been increased by more than 300%. We believe this work is significant for high precision processing for sidewall reflective optical switches, promoting the application in the research fields of optical engineering, microfluidics, instrumentation and so forth. © Published under licence by IOP Publishing Ltd.

关键词： Precision engineering

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Learn Topological Representation with Flexible Manifold Layer 48

Learn Topological Representation with Flexible Manifold Laye...

引用

48th IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2023

作者： Jiao, Ziheng Zhang, Hongyuan Li, Xuelong Northwestern Polytechnical University School of Computer Science Xi'an China Xi'an China Electromechanical Dynamic Control Laboratory China

ISBN: (纸本)9781728163277

Deep neural networks for classification are one of the most fundamental topics in machine learning. However, the widely used softmax decision layer, originating from the conventional softmax regression for multi-class classification, fails to guide the powerful feature extractor to explore the topological structure hidden in data, which limits the quality of produced representations. Therefore, we propose a flexible manifold layer for better representation learning in this paper, rather than adding some regularized losses to introduce extra mechanisms. The flexible manifold layer is inspired by SVM which maximizes the geometric margin and usually achieves better results than softmax regression. Since the potential structure is captured due to the explicit guidance of the proposed flexible manifold layer, the noise can be easily detected and filtered out via a designed automatic mechanism. In addition to passing the topological knowledge by latent representations, a knowledge distillation from the manifold layer and decision layer is developed. Extensive experiments show that the proposed model has achieved excellent performance. The code is available at https://***/jzh9830/DeepSVM. © 2023 IEEE.

关键词： Distillation

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Fast Super-Resolution DOA Estimation for Unknown Number of Radiation Sources Based on Complex Convolutional Neural Networks 2

Fast Super-Resolution DOA Estimation for Unknown Number of R...

引用

2nd IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024

作者： Ma, Hui Liu, Xianpeng Liu, Hongwei Yang, Junxiang Xidian University National Key Laboratory of Radar Signal Processing Xi'an China Xian Institute of Electromechanical Information Technology Electromechanical Dynamic Control Laboratory Xi'an China

ISBN: (纸本)9798331515669

To address the high computational complexity of traditional Direction of Arrival (DOA) estimation techniques and the limitations of previous neural networks in handling fixed signal sources, a new signal processing model was developed. This model employs sparse representation methods and deep learning through complex convolutional neural networks(CCNN). Focused research on the array's performance under unknown radiation sources using the complex convolutional neural network algorithm for super-resolution DOA estimation was conducted in a PyTorch environment. The results indicate that the complex convolutional model has a lower DOA computation complexity and higher precision in handling unknown radiation sources. After incorporating sparse representation with sampled data through the CCNN model for DOA estimation, an improvement in estimation accuracy and a reduction in computational complexity were observed compared to methods relying solely on sparse representation. Additionally, this model can effectively detect incoming waves from unknown radiation sources, unlike previous neural networks. © 2024 IEEE.

关键词： Convolutional neural networks

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On the temperature-related mechanical properties of UV-LIGA nickel material

On the temperature-related mechanical properties of UV-LIGA ...

引用

16th Annual Conference and 5th International Conference on Chinese Society of Micro-Nano technology, CSMNT 2014

作者： Yuan, Shuangshi He, Guang Zhang, Ming Li, Guozhong National Key Laboratory on Electromechanical Dynamic Control Beijing Institute of Technology Beijing100081 China

ISBN: (纸本)9783038354628

MEMS nickel material is commonly used for structural material in micro devices. In order to study the effect of environmental temperature on its mechanical properties,this paper has built up a experimental system which can measure the temperature-related static mechanical parameters of the UV-LIGA nickel material. By using the system for uniaxial tensile experiments of the micro specimen under different temperature, the stress-strain curves of the micro specimen under different temperature were obtained;the mechanical parameters of the micro specimen such as elastic modulus, yield stress and failure stress under different temperature were also calculated out;Finally, the relationship between temperature and mechanical parameters including elastic modulus, yield stress and failure stress was analyzed. © (2015) Trans Tech Publications, Switzerland.

关键词： Yield stress

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