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检索条件"机构=Key Laboratory for Control Theory and Applications in Complicated Systems"

共 933 条记录，以下是211-220 订阅

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Short-term Photovoltaic Power Prediction based on DE-GWO-LSTM

Short-term Photovoltaic Power Prediction based on DE-GWO-LST...

引用

IEEE International Conference on Mechatronics and Automation

作者： Hui Zhao Zhili Zhao Hongjun Wang Youjun Yue Tianjin Key Laboratory for Control Theory and Applications in Complicated System Tianjin University of Technology Tianjin China College of Engineering and Technology Tianjin Agricultural University Tianjin China

ISBN: (数字)9781728164168

ISBN: (纸本)9781728164175

In order to solve the uncertainty and randomness of photovoltaic output prediction caused by weather factors, and improve the accuracy of short-term photovoltaic power prediction, this study uses long short-term memory (LSTM) to establish a prediction model, and trains historical time series data to predict short-term photovoltaic power. First, a layer-by-layer training algorithm is used to construct a multi-hidden-layer network structure with excellent performance in regression prediction analysis. By analyzing the characteristics of the LSTM network function, a photovoltaic output prediction model is established. Then, the grey wolf optimization (GWO) algorithm of differential evolution algorithm (DE) is proposed to optimize the connection weight of LSTM to prevent the local minimum caused by random initialization, overcome the shortcomings of back-propagation algorithm used in traditional LSTM network, and improve the prediction accuracy of LSTM network. Finally, the simulation experiment of the improved LSTM model is carried out to test the prediction effect of the model under three kinds of weather conditions to prove the effectiveness of the model.

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Study on Freshwater Fish Image Recognition Integrating SPP and DenseNet Network

Study on Freshwater Fish Image Recognition Integrating SPP a...

引用

IEEE International Conference on Mechatronics and Automation

作者： Hongjun Wang Yangyang Shi Youjun Yue Hui Zhao Tianjin Key Laboratory for Control Theory and Applications in Complicated System Tianjin University of Technology Tianjin China College of Engineering and Technology Tianjin Agricultural University Tianjin China

ISBN: (数字)9781728164168

ISBN: (纸本)9781728164175

With the development of image processing and machine vision, there are emerging fish species classification algorithms that use machine vision technology to identify specific scenes. In order to solve the problem of poor working environment and low efficiency of traditional artificial identification of fish species, this paper proposes a deep learning method combining SPP (spatial pyramid pooling) and DenseNet (dense neural network). The model is connects the spatial pyramid pooling layer in front of the full connection layer of DenseNet network. On the basis of maintaining good recognition accuracy of DenseNet, the integrated new network can increase scale invariance and reduce overfitting. Through the identification test of 6 kinds of freshwater fish, the classification accuracy rate reached 97%. Experimental results show that the new network SPP-Densenet can effectively identify species of freshwater fish images.

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Research on Abnormal Power Consumption Detection Technology Based on Decision Tree and Improved SVM

Research on Abnormal Power Consumption Detection Technology ...

引用

IEEE International Conference on Mechatronics and Automation

作者： Hongjun Wang Zhiqi Li Hui Zhao Youjun Yue Tianjin Key Laboratory for Control Theory and Applications in Complicated System Tianjin University of Technology Tianjin China College of Engineering and Technology Tianjin Agricultural University Tianjin China

ISBN: (数字)9781728164168

ISBN: (纸本)9781728164175

The main purpose of abnormal power consumption detection for power users is to maintain the legitimate rights and interests of normal users, improve the economic benefits of power grid companies, and thereby reduce non-technical losses (NTL). In order to realize the rational use of user-side data and improve the efficiency of power audit, this article proposes an improved SVM power theft detection model based on decision tree. First of all, to address the problem of less electricity stealing data, this article combines convolutional neural networks (CNN) and generative adversarial networks (GAN) for data generation, and uses the powerful feature extraction function of CNN to extract the features of different stealing methods to guide GAN. Then the improved support vector machine (SVM) model based on decision tree (DT) detects user data. When classifying, it combines SVM and KNN for classification, which solves the point of SVM near the decision plane. For the problem of low classification accuracy, simulation experiments finally verified the effectiveness of the proposed model.

关键词： Support vector machines Power demand Support vector machine classification Generative adversarial networks Feature extraction Data models Decision trees

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UAV aerial image mosaic algorithm based on FAST-Tomasi feature and Delaunay triangulation

UAV aerial image mosaic algorithm based on FAST-Tomasi featu...

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IEEE International Conference on Mechatronics and Automation

作者： Hui Zhao YaXin Du Hongjun Wang Youjun Yue Tianjin Key Laboratory for Control Theory and Applications in Complicated System Tianjin University of Technology Tianjin China College of Engineering and Technology Tianjin Agricultural University Tianjin China

ISBN: (数字)9781728164168

ISBN: (纸本)9781728164175

In view of the current inability to meet the requirements of fast speed and strong stability in feature extraction, and the slow speed in feature point elimination, this paper proposes an UAV remote sensing image mosaic algorithm based on FAST-Tomasi features and Delaunay triangulation. Firstly, FAST feature detection algorithm is used to accelerate Shi-Tomasi algorithm to obtain fast and accurate feature points, the feature points are described by BRIEF operator, and the phase is conducted by hamming distance. Then, Delaunay triangulation network is constructed according to the initial matching points, and the similarity between the triangles in the two images to be stitched is calculated. The triangle pair with large similarity is the matching triangle pair, so the corresponding accurate matching points are obtained. Then, the improved SPHP algorithm is used for registration. Finally, the weighted algorithm is used to fuse the image. Experimental results indicate that the algorithm retains more correct matching points, the accuracy of eliminating false matching points is higher, and the matching speed is significantly improved.

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Study on Force Feedback control of the Vascular Interventional Surgical Robot based on Fuzzy PID

Study on Force Feedback Control of the Vascular Intervention...

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IEEE International Conference on Mechatronics and Automation

作者： Jian Guo Lixin He Shuxiang Guo Tianjin Key Laboratory for Control Theory & Applications in Complicated Systems and Intelligent Robot Laboratory Tianjin University of Technology Binshui Xidao 391 Tianjin China Faculty of Engineering Kagawa University 2217-20 Hayashi-cho Takamatsu Japan

ISBN: (数字)9781728164168

ISBN: (纸本)9781728164175

At present, most vascular interventional surgical robot force feedback control systems use PID control. However, for the PID control system, once the system parameters are selected, they cannot be changed, and their adaptability to changes in external conditions is poor. In this paper, a fuzzy PID controller is proposed for the master slave force feedback control system of vascular interventional surgical robots. To solved the error problems with force feedback accuracy, we conducted a master slave force feedback experiment to compare the effects of using PID and fuzzy PID control on system performance. The experimental results showed that the use of fuzzy PID control can improve accuracy and stability of master slave force feedback, and provide a good theoretical basis for the control of a robotic force feedback system for vascular interventional catheters.

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Study on the Tremor Elimination Strategy for the Vascular Interventional Surgical Robot

Study on the Tremor Elimination Strategy for the Vascular In...

引用

IEEE International Conference on Mechatronics and Automation

作者： Jian Guo Shuai Yang Shuxiang Guo Tianjin Key Laboratory for Control Theory @ Applications in Complicated Systems and Intelligent Robot Laboratory Tianjin University of Technology Binshui Xidao 391 Tianjin China Faculty of Engineering Kagawa University 2217-20 Hayashi-cho Takamatsu Japan

ISBN: (数字)9781728164168

ISBN: (纸本)9781728164175

For interventional vascular surgery, which requires a high degree of accuracy, any minor error could lead to the failure of the operation. High stressful operation environment leads to hands' tremor of doctors, which is fatal to patients. A recognition and elimination strategy for hands tremor was proposed. Hands' tremor was divided into two types, the first type is normal physiological tremors and the second type is stress tremor. First, we used the regularity of normal physiological tremor to identify and eliminate it. Secondly, according to the safe contact force index in vascular interventional surgery, the safe acceleration of the robot was obtained by using Newton's second law. Stress tremor was identified by comparing actual acceleration with safe acceleration. The effectiveness of the strategy was verified by experiments in which multiple operators simulated the operation of doctors. Experimental results show that the tremor elimination strategy has better performance.

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A Discrete-Time Sliding Mode control Method for Multi-Cylinder Hydraulic Press

A Discrete-Time Sliding Mode Control Method for Multi-Cylind...

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IEEE International Conference on Mechatronics and Automation

作者： Chao Jia Jiaqi Wei Enzeng Dong Xuewei Gao Haocheng He Tianjin Key Laboratory for Control Theory and Applications in Complicated System Tianjin University of Technology Tianjin China College of Electrical and Electronic Engineering Tianjin University of Technology Tianjin China

ISBN: (数字)9781728164168

ISBN: (纸本)9781728164175

In this paper, a discrete-time sliding mode control method for multi-cylinder hydraulic presses is proposed, which can be applied exactly for computer real-time discrete control in practical engineering. Proposed method bases on discrete-time multi-cylinder hydraulic press model and adopts the design method of the distributed controller. First, the expected virtual force is designed according to the overall output demand, and the discrete-time sliding mode controller is designed to obtain the virtual force. Then the virtual force is separated by control allocation method to obtain the desired output force of each cylinder, finally, the second discrete-time sliding mode controller is designed to control the actual output force of each cylinder. The simulation results show that the proposed method has a good effect on output and leveling control of multi-cylinder hydraulic press and solves its problems of non-linear control and redundancy in discrete-time model.

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An Improved Visual Auxiliary Algorithm for the Vascular Interventional Surgical Robot based on Neural Network

An Improved Visual Auxiliary Algorithm for the Vascular Inte...

引用

IEEE International Conference on Mechatronics and Automation

作者： Jian Guo Suxiang Feng Shuxiang Guo Tianjin Key Laboratory for Control Theory & Applications in Complicated Systems and Intelligent Robot Laboratory Tianjin University of Technology Binshui Xidao 391 Tianjin China Faculty of Engineering Kagawa University 2217-20 Hayashi-cho Takamatsu Japan

ISBN: (数字)9781728164168

ISBN: (纸本)9781728164175

Given the various shortcomings of traditional interventional surgery, it has become a trend to develop vascular interventional robots to assist doctors in completing the surgery. However, the existing visual auxiliary for vascular interventional robots rely on doctors' experience to make judgments based on images. Therefore, our team proposed a method of transforming image coordinates and spatial coordinates based on the visual auxiliary of existing platforms. This paper shows the platform briefly at first. Then we introduce the traditional image coordinate transformation and use the neural network to simplify calculation and parameter preparation process based on the traditional way. Finally, the accuracy and practicability of the transformation between the vision-assisted image coordinates and the space coordinates of the vascular interventional surgical robot based on the neural network are proved through experiments. We can apply this algorithm to the visual assistant and give detailed numerical feedback to the doctor intuitively, greatly improving the accuracy of the operation.

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Model Reference Scheduling and control Co-design with Random Delay

Model Reference Scheduling and Control Co-design with Random...

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IEEE International Conference on Mechatronics and Automation

作者： Shunli Zhao Tianjin Key Laboratory for Control Theory & Applications in Complicated System Tianjin University of Technology Tianjin China School of Electrical and Electronic Engineering Tianjin University of Technology Tianjin China

ISBN: (数字)9781728164168

ISBN: (纸本)9781728164175

Networked control system is drawing more attention in the past few years. A study of model reference scheduling and control co-design with random time delay is proposed in the paper. For the model reference scheduling, the bigger errors between the system states and the ideal states should be firstly dealt with. However, the design of the ideal dynamics can be realized by the different ways. A pole placement method is used to design the controller gain for the ideal dynamics in the paper. Finally, the effectivity is demonstrated by a numerical example.

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A SSVEP-Based Wireless Retrieval Robot System

A SSVEP-Based Wireless Retrieval Robot System

引用

Chinese Automation Congress (CAC)

作者： Sihao Yang Tao Xue Shicheng Yan Zekun Tian Yuxin Zhang Qihuai Zhang Jintao Chen Zhongli Bai Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control National Demonstration Center for Experimental Mechanical and Electrical Engineering Education Tianjin University of Technology Tianjin China Tianjin Key Laboratory for Control Theory and Applications in Complicated Systems Tianjin University of Technology Tianjin China

ISBN: (数字)9781728176871

ISBN: (纸本)9781728176888

The brain-computer interface (BCI) plays an important role in assisting the disabled in life support and entertainment. In this study, a wireless retrieval robot system for steady-state visual evoked potential (SSVEP) based BCI system was proposed. In order to improve the recognition accuracy and system stability of BCI system for subjects' instructions, in this study, offline and online experiments are used to study and solve the performance parameters, obstacle avoidance and retrieval performance of BCI respectively. In the offline experiment, 5 types of SSVEP data of 4 subjects were used. Based on CCA algorithm, the multi-channel fusion recognition accuracy, time window length (TWL), command activation margin and other aspects are studied. The optimal experimental parameters are determined. Online experiments are based on the optimal test parameters of offline experiments, 8 subjects were used to study the performance of obstacle avoidance and retrieval. The online experiments achieved an average accuracy of 87.89 ± 6.62% with an ITR of 23.6 ± 4.76 bit/min. Furthermore, the rate of success in grasping three kinds of different difficulty preset targets was 61.38%.

关键词： Electroencephalography Robots Electrodes Correlation coefficient Task analysis Visualization Liquid crystal displays

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