检索结果-内蒙古大学图书馆

International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE)

作者： Ghosh, Bashudeb Chandra Hossen, Md. Belal Khulna Univ Engn & Technol EEE Dept Khulna Bangladesh

ISBN: (纸本)9781538682524

Wavelet Neural Networks (WNN) are computational tools used now a day for control and estimation purposes. This paper describes a wavelet neural network based control system designed for Permanent Magnet Brushless DC (PMBLDC) Motor drive. The WNN controller is trained online through gradient descent algorithm for controlling the motor output in different operating conditions. A software is developed in C++ and was used to test the performance of the drive system. The results show that drive control system works effectively after comparison of the results with those obtained using PI controller based system.

关键词： PMBLDC motor WNN online training gradient descent algorithm FOC and Trapezoidal back emf

来源：评论

学校读者我要写书评

暂无评论

gradient-BASED SOLUTION OF MAXIMUM LIKELIHOOD ANGLE ESTIMATION FOR VIRTUAL ARRAY MEASUREMENTS

GRADIENT-BASED SOLUTION OF MAXIMUM LIKELIHOOD ANGLE ESTIMATI...

引用

IEEE Global Conference on Signal and Information Processing (GlobalSIP)

作者： Vouras, Peter Weiss, Alec Becker, Maria Jamroz, Ben Quimby, Jeanne Williams, Dylan Remley, Kate NIST Wireless Networks Div Gaithersburg MD 20899 USA NIST Metrol Wireless Syst Grp Boulder CO USA Hastings Coll Law Hastings NE USA

ISBN: (纸本)9781728112954

Precise measurement and characterization of millimeter wave channels requires antennas capable of high angular resolution to resolve closely spaced multipath sources. To achieve angular resolution on the order of a few degrees these antennas must be electrically large which is impractical for phased array architectures at millimeter wave frequencies. An alternative approach is to synthesize a virtual aperture in space by using an accurate mechanical positioner to move a receive antenna to points along a sampling grid. An advantage of creating virtual apertures is that the received signal is digitized at every spatial sample position which enables the use of sophisticated angle estimation algorithms such as maximum likelihood (ML) techniques. The main contribution of this paper is a new gradient-based implementation of maximum likelihood angle estimation that was demonstrated on virtual array data collected at 28 GHz using a vector network analyzer (VNA).

关键词： maximum likelihood angle estimation synthetic aperture virtual array millimeter wave channel sounding gradient descent algorithm

来源：评论

学校读者我要写书评

暂无评论

algorithm of Video Semantic Classification Based on IAGA and Deep Convolution Neural Network

引用

电脑学刊 2018年第5期29卷 52-65页

作者： Min Wang Ke-Xin Liu Ming-Fei Wei Li-Cai Zhang

The rise of convolutional neural network (CNN) has greatly improved the disadvantage of the traditional video classification method. However, in the pre-training process of classification network, often due to over-fitting, gradient disappearance and other factors lead to training data convergence performance is poor, thus would affect the accuracy of the classifier. Aiming at the problem of network optimization, this paper proposes an algorithm to combine improved adaptive genetic algorithm (IAGA) with deep convolution neural network (DCNN) classifier. The weighting of the network is initialized by the IAGA algorithm, and the weight is corrected by combining the gradient descent (GD) algorithm. Finally, the fusion of global feature extracted by the network is input into the extreme learning machine (ELM) for classification. The results of the news video classification show that the algorithm can combine the global search ability of IAGA with the local optimization ability of gradient descent algorithm to improve the accuracy of the training network with less parameters, and the average classification accuracy rate can reach 90.03%. Compared with the three existing algorithms, the algorithm has higher classification accuracy. Compared with the four kinds of network pre-training methods, the algorithm presented in this article is more dominant.

关键词： deep convolutional neural network extreme learning machine gradient descent algorithm improved adaptive genetic algorithm video semantic classification

来源：评论

学校读者我要写书评

暂无评论

TARGET THREAT ASSESSMENT BASED ON MODIFIED PARTICLE SWARM OPTIMIZED FUZZY RECURRENT WAVELET NEURAL NETWORK

引用

INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL 2017年第2期13卷 605-620页

作者： Chen, Xia Shi, Kun Li, Xin Shenyang Aerosp Univ Sch Automat 37 Daoyi South Ave Shenyang 110136 Liaoning Peoples R China Nanjing Univ Aeronaut & Astronaut Inst Bioinspired Struct & Surface Engn Coll Mech & Elect Engn 29 Yudao St Nanjing 210016 Jiangsu Peoples R China

In this research paper, a practical novel hybrid model to assess the value of target threat degree was proposed. The model was based on modified particle swarm optimization (MPSO) in combination with fuzzy recurrent wavelet neural network (FRWNN), namely MPSO optimized fuzzy recurrent wavelet neural network (MPSO-FRWNN). Moreover, a single neuron employed in consequent part of each fuzzy rule of FRWNN is capable of storing the previous data of the networks instead of conventional Takagi-Sugeno-Kang (TSK) fuzzy model. This optimization mechanism involved a hybrid training procedure integrating MPSO and gradient descent algorithm (GDA), which significantly enhances the prediction or assessment accuracy. To locate a reasonably good region in the continuous search space, a new adjustment scheme named MPSO algorithm is developed, which includes two inline-PSO processes, and thus it can fit well with the consequent forecasting learning based gradient descent optimization. Finally, conclusions of this study are exposed by three comparative threat assessment experiments.

关键词： Particle swarm optimization Takagi-Sugeno-Kang fuzzy model gradient descent algorithm Threat assessment

来源：评论

学校读者我要写书评

暂无评论

Effective Control for Wireless Sensor and Mobile Actuator Network in Regulation of Environmental Density Function

Effective Control for Wireless Sensor and Mobile Actuator Ne...

引用

IEEE/ASME International Conference on Advanced Intelligent Mechatronics

作者： Mu-Tai Lin Yen-Chen Liu Department of Mechanical Engineering National Cheng Kung University Tainan Taiwan

This paper proposes an environmental regulating system by using a multi-robot system in cooperation with wireless sensor networks. Wireless sensors pre-deployed in the environment and embedded in mobile robots can gather sensory information to estimate the distribution of environmental variable. The environment distribution is illustrated by a density function which is constructed by Gaussian mixture model based on Expectation Maximization (EM) algorithm to estimate real condition. Subsequently, a gradient decent coverage control is proposed to drive the multi-robot system to cover the optimal distribution based on the estimated density function. Meanwhile, the actuators embedded on mobile robots are designed to regulate the environment to achieve a desired value of density function. Numerical examples are illustrated to show the performance of the proposed control system.

关键词： Wireless sensor and actuator networks (WSANs) Coverage control Expectation maximization estimation gradient descent algorithm Lyapunov-based controller

来源：评论

学校读者我要写书评

暂无评论

Adaptive Tracking Control Based on CMAC for nonlinear Systems

Adaptive Tracking Control Based on CMAC for nonlinear System...

引用

Annual International Conference on System Science and Engineering (ICSSE)

作者： Van-Phuong Ta Xuan-Kien Dang Thanh-Quyen Ngo Ho Chi Minh City Univ Technol & Educ Ho Chi Minh City Vietnam Hochiminh Univ Transport Ho Chi Minh City Vietnam Hochiminh Univ Ind Ho Chi Minh City Vietnam

ISBN: (纸本)9781538634226

In this study, we present control system based on cerebellar model articulation controller (CMAC) for nonlinear systems to achieve high precision trajectory tracking. The proposed control system includes the CMAC with its fast learning and good generalization capability is applied to approximate uncertainties or model parameter variation to attain error function minimum and a compensator controller (CC) is designed to cancel the approximation error for guaranteeing the stable of the system. The gradient descent method is used to turn online parameters of the CMAC and the stability of the control system can be guaranteed by the compensator controller. The experimental results of Tank Pressure Control and Tank Water Level Control Systems prove that the robustness and effectiveness of the proposed controller.

关键词： Cerebellar model articulation controller (CMAC) Compensator Controller (CC) adaptive tracking control gradient descent algorithm

来源：评论

学校读者我要写书评

暂无评论

Learning of Recurrent Convolutional Neural Networks with Applications in Pattern Recognition 36

Learning of Recurrent Convolutional Neural Networks with App...

引用

第36届中国控制会议

作者： Qiaoyun Wang He Huang School of Electronic and Information Engineering Soochow University

ISBN: (纸本)9781538629185

Convolutional neural network(CNN) has been successfully applied in character *** further reduce the error rate of classification,based on traditional CNN,a recurrent-type CNN(RCNN) is presented in this *** ElmanJordan recurrent model is embedded in the full connection layer of the proposed *** optimizing the structure of the traditional CNN and making full use of the better learning ability of recurrent neural network,the proposed RCNN has a better recognition ability for input signals with *** verify the performance of the developed RCNN,some experiments are accomplished on the Chinese car plates and MNIST *** experimental results show that,compared with traditional CNN and Elman-type CNN,a much smaller error rate can be guaranteed by our model.

关键词： Recurrent convolutional neural networks gradient descent algorithm Elman-Jordan recurrent neural networks pattern recognition

来源：评论

学校读者我要写书评

暂无评论

Auto lead angle algorithm for high efficiency control of BLDC Motor 17

Auto lead angle algorithm for high efficiency control of BLD...

引用

17th International Conference on Control, Automation and Systems (ICCAS)

作者： Jeon, Byeong-chan Park, Won-ki Lee, Sung-chul Shin, Hyun-chul Hanyang Univ Dept Convergence Syst Erica Campus Seoul South Korea Korea Elect Technol Inst SoC Platform Res Ctr Seongnam Si Gyeonggi Do South Korea

ISBN: (纸本)9788993215144

The Brushless DC motors are used in various industries such as home appliances, electric vehicles, Medical, Industrial automation equipment and so on. Because they have advantages of low noise, simple control and high power density. But, in a high-speed motor drive, current lagging which is induced by the impedance of the motor inductor reduces the motor efficiency. To solve this problem, we propose an auto lead angle control algorithm based on a gradient descent algorithm. With this algorithm, the motor current and motor Back-EMF have an identical phase angle. Thus, the efficiency of the motor can be increased. In order to verify the proposed algorithm, we implemented the hardware with FPGA and board including analog circuit. As a result, it was confirmed that the optimum lead angle was found with only one current value without various parameters, and the efficiency of the motor was improved. Also, it is confirmed that the efficiency is further increased at high load and high speed.

关键词： BLDC Motor gradient descent algorithm Lead angle FPGA Motor driver

来源：评论

学校读者我要写书评

暂无评论

An adaptive fuzzy PID control for a class of SISO uncertain nonlinear systems 5

An adaptive fuzzy PID control for a class of SISO uncertain ...

引用

5th International Conference on Electrical Engineering - Boumerdes (ICEE-B)

作者： Cherrat, Nidhal Boubertakh, Hamid Arioui, Hichem Univ Jijel LAJ Jijel Algeria Univ Evry Val Essonne Lab IBISC EA 4526 Paris France

ISBN: (纸本)9781538606865

In this work we propose an adaptive PID control law to deal with a class of single input single output (SISO) uncertain nonlinear systems. In fact, a fuzzy system is used for approximating the PID control gains. The fuzzy system parameters are adjusted online using a robust adaptation law based on the gradient method and augmented by the so-called "e-modification" term, in order to minimize the error between the fuzzy PID controller and the unknown ideal controller. The stability of the closed-loop system is proven analytically using the Lyapunov approach. A simulation example is presented to illustrate the performance of the proposed scheme.

关键词： PID control Uncertain nonlinear systems Fuzzy systems gradient descent algorithm Lyapunov stability

来源：评论

学校读者我要写书评

暂无评论

A Wireless Evaluation System for In-home Physical Rehabilitation 29

A Wireless Evaluation System for In-home Physical Rehabilita...

引用

第29届中国控制与决策会议

作者： Xiaoming Zhang Lin Xu Yang Zhang Institute of Robotics and Automatic Information System Nankai University Tianjin Key Laboratory of Intelligent Robotics

ISBN: (纸本)9781509046584

This paper describes an evaluation system, which can visually display and evaluate the user's performance in his physical rehabilitation. The system is composed of a body sensor network with low cost MEMS inertial measurement units(IMUs), which is capable of measuring the orientations of all body joints. Every joints orientation is represented relative to its parent joint according to human skeleton and they are used as features to evaluate. The system uses OGRE(Object-Oriented Graphics Rendering Engine) to reconstruct and display the three-dimensional motion of a human body in virtual scenes on computers. To evaluate the user's performance of rehabilitation, the body motion data are analyzed with Dynamic Time Warping(DTW) algorithm, and are compared with the standard motion sequences from health experts. The DTW algorithm can measure the distance between sequences of varying speed, and avoid the problem of different speed of doing a same motion.

关键词： micro inertial measurement unit(IMU) Dynamic Time Warping(DTW) motion capture physical rehabilitation gradient descent algorithm wireless sensor network

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：