检索结果-内蒙古大学图书馆

第37届中国控制会议

作者： Baohua Lu Liping Yan Hongxue Chen Yuanqing Xia Mengyin Fu Bo Xiao Key Laboratory of Intelligent Control and Decision of Complex Systems School of Automation Beijing Institute of Technology School of Information and Communication Engineering Beijing University of Posts and Telecommunications

In practical problems, the dynamic systems are usually nonlinear. In this case, the traditional Kalman filter cannot be used for state estimation or fault detection. The two typical extension based on Kalman filtering framework is the Extended Kalman Filter(EKF) and the Unscented Kalman Filter(UKF). Theoretically speaking, UKF is better than EKF when estimation accuracy is concerned, especially for high degree nonlinear cases. This paper is concerned with the state estimation and fault detection problem for a class of nonlinear dynamic systems. A novel fault detection and analyse method is presented based on the period residual of EKF and UKF. For different kind of faults, mainly, the system parameter error, the sensor/data error, EKF and UKF are used, and the estimation and fault detection effects are compared and analyzed.

关键词： nonlinear system state estimation fault detection parameter error sensor error

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Research on Novel Fountain code for UAV Formation Flight control in UV Communication 7

Research on Novel Fountain code for UAV Formation Flight Con...

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2017 7th IEEE International Symposium on Microwave, Antenna, Propagation, and EMC Technologies

作者： Tai-fei Zhao YingXie XueLiu Peng Song Information Processing Xi'an University of Technology Shannxi Key Laboratory of Complex System Control and Intelligent Xi'an University of Technology

ISBN: (纸本)9781509059300;9781509059294

Research of Unmanned Aerial Vehicle(UAV) formation is a hot spot in the field of UAV applications. Based on the fountain code, an encoding communication scheme using unequal level coding Lu by Transform(ULC-LT) code and stepwise unequal error protection Lu by Transform(SUEP-LT) code are proposed for the UAV formation communication. Simulation results reveal that the proposed coding scheme can reduce the decoding bit error rate and provide strong unequal error protection property across sources.

关键词： UAV Ultraviolet communication Fountain code Unequal Error Protection

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Convolutional Neural Network Features Comparison Between Back-Propagation and Extreme Learning Machine

Convolutional Neural Network Features Comparison Between Bac...

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Chinese control Conference

作者： Atmane Khellal Hongbin Ma Qing Fei School of Automation Beijing Institute of Technology Beijing China State Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institute of Technology Beijing China

Recently deep learning based architectures have been widely deployed in many problems of artificial intelligence. Among deep learning models, Convolutional Neural Networks (CNN) have been reported in numerous successful applications such as object recognition, and natural language processing. The convolutional neural networks are trained by back-propagating the classification error using the Back-Propagation (BP) algorithm, which requires a large amount of data and slows the training process. To overcome these difficulties, a new fast and accurate approach based on Extreme Learning Machine (ELM) to train any convolutional neural network has been proposed. The developed framework (ELM-CNN) is based on the concept of auto-encoding to learn the convolutional filters with biases, by reconstructing the normalized input and the intercept term. In this paper, systematic comparison with traditional back-propagation based training method (BP-CNN) has been made with respect to two aspects qualitative and quantitative. The experimental results on the popular MNIST dataset show that the ELM-CNN algorithm achieves competitive results in terms of generalization performance and up to 16 times faster than the back-propagation based training of CNN.

关键词： Training Convolutional neural networks Feature extraction Computer architecture Convolution Machine learning Encoding

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Trajectory Tracking based on Time-Varying Sliding Mode controller for Hypersonic Vehicle with Aileron Stuck 36

Trajectory Tracking based on Time-Varying Sliding Mode Contr...

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第36届中国控制会议

作者： Haibo Ji Lei Wang Zhuoyue Song Xiangdong Liu Zhirong Lei State Key Laboratory of Intelligent Control and Decision of Complex Systems and School of Automation Beijing Institute of Technology School of Automation Northwestern Polytechnical University

ISBN: (纸本)9781538629185

This paper presents nonlinear robust trajectory tracking strategies for the hypersonic vehicle whose ailerons are stuck at an unknown angular position. Firstly, a time-varying sliding mode control strategy for general second-order systems is introduced, and the chattering of sliding mode controller is alleviated. Secondly, the dynamics of hypersonic vehicle are transformed into two second-order systems. Then, the corresponding guidance law and attitude controller are designed using time-varying sliding mode controller. By the proposed strategies, the hypersonic vehicle can fly along the reference ***, the proposed strategies are applied to a hypersonic platform to verify its validity.

关键词： Trajectory Tracking Stuck Aileron Time-Varying Sliding Mode

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Learning oriented cross-entropy approach to user association in load-balanced HetNet

arXiv

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arXiv 2018年

作者： Huang, Xietian Xu, Wei Xie, Guo Jin, Shi You, Xiaohu Southeast University Nanjing China Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xi'An University of Technology Xi'an China

This letter considers optimizing user association in a heterogeneous network via utility maximization, which is a combinatorial optimization problem due to integer constraints. Different from existing solutions based on convex optimization, we alternatively propose a cross-entropy (CE)-based algorithm inspired by a sampling approach developed in machine learning. Adopting a probabilistic model, we first reformulate the original problem as a CE minimization problem which aims to learn the probability distribution of variables in the optimal association. An efficient solution by stochastic sampling is introduced to solve the learning problem. The integer constraint is directly handled by the proposed algorithm, which is robust to network deployment and algorithm parameter choices. Simulations verify that the proposed CE approach achieves near-optimal performance quite efficiently. Copyright © 2018, The Authors. All rights reserved.

关键词： Heterogeneous networks

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Liquid-Circular Angular Accelerometer: A Review

Liquid-Circular Angular Accelerometer: A Review

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Chinese control Conference

作者： Ke Ning Meiling Wang Siyuan Cheng Li Ming Xin Zheng Beijing Institute of Technology Key Laboratory of Complex system Intelligent Control and Decision Beijing P. R. China The Third Academic of Aerospace and Technology Group of China Beijing P. R. China

This article reviews the mainstream angular acceleration measurement techniques. Varieties of direct measurements, including rotational, solid mechanical inertial, fluid mechanical inertial, and microelectromechanical system angular accelerometer, are expanding in the practical applications of measurement and control systems. Recently researchers focus on microelec-tromechanical system and fluid-based sensors in light of increasing requirements for the measurement. In this review, we first investigated developments of angular acceleration measurements. Then we introduced one of the fluid-based sensors, a liquid-circular angular accelerometer, which is a novel angular sensor consisting of a porous transducer and an electrolyte solution chiefly. Eventually, we detailed recent works on this sensor's mechanism and the other aspects, e.g. significant properties of components and major research methodologies, and discussed its trade-off on performance with wide frequency, large dynamic range and high accuracy relatively, to show this sensor could bring advantages compared with other measurement methods.

关键词： Accelerometers Acceleration Mechanical sensors Solids Bandwidth Sensor phenomena and characterization

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An Algorithm for Quadruped Robot's Inverse Kinematic Problems Based on PSO

An Algorithm for Quadruped Robot's Inverse Kinematic Problem...

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Chinese control Conference (CCC)

作者： Wei Shen Min Li Junzheng Wang Changkun Chai Wen Zheng Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institute of Technology Beijing Institute of Software Chinese Academy of Sciences Beijing Siemens China LTD Beijing

The inverse problem is an essential problem in robot kinematics. In order to deal with the inverse kinematic problems of hydraulic quadruped robot, the motion process of a single leg is modeled, simulated and analyzed. A new method based on particle swarm optimization (PSO) is proposed in this paper to overcome low computational efficiency, long calculation time and accumulative error. The proposed algorithm is attributed to: 1) limit the range of particles initialization; 2) select suitable compressibility factors; 3) employ linear interpolation method to improve the efficiency of the inverse algorithm. The simulation results demonstrate that the developed method can provide enhanced computational efficiency and significantly reduce the calculation time while ensuring the precision requirement, and can also eliminate the accumulative error.

关键词： Legged locomotion Robot kinematics Kinematics Trajectory Hip Hydraulic systems

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Stability and control of Nonlinear Time-varying systems 1

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2018年

作者： Shuli Guo Lina Han

ISBN: (数字)9789811089084

ISBN: (纸本)9789811089077;9789811342691

This book presents special systems derived from industrial models, including the complex saturation nonlinear functions and the delay nonlinear functions. It also presents typical methods, such as the classical Liapunov and Integral Inequalities methods. Providing constructive qualitative and stability conditions for linear systems with saturated inputs in both global and local contexts, it offers practitioners more concise model systems for modern saturation nonlinear techniques, which have the potential for future applications. This book is a valuable guide for researchers and graduate students in the fields of mathematics, control, and engineering.

关键词： control and systems Theory systems Theory, control Mathematical Modeling and Industrial Mathematics Mathematical Applications in Computer Science Mathematics of Algorithmic complexity

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Event-triggered consensus for linear continuous-time multi-agent systems based on a predictor

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Information Sciences 2018年 459卷 278-289页

作者： Jian Sun Qiuling Yang Xiaoyu Liu Jie Chen School of Automation Beijing Institute of Technology Beijing 100081 PR China Key Laboratory of Intelligent Control and Decision of Complex System Beijing Institute of Technology Beijing 100081 PR China China North Industrial Group Corporation Limited China Ordnance Industry Navigation and Control Technology Institute Beijing 100089 PR China

In this paper, the problem of an event-triggered consensus for a linear continuous-time multi-agent system is investigated. A new event-triggered consensus protocol based on a predictor is proposed to achieve consensus while not requiring continuous communication among agents. The predictor utilizes an artificial closed-loop system to predict the future state of each agent. With the proposed consensus protocol, each agent only needs to monitor its own states to determine its event-triggered instants. When an event of an agent is triggered, the agent immediately updates its consensus protocol and sends its state information to its neighbors. When an agent receives state information from its neighbors, the agent immediately updates its consensus protocol and predictor. A necessary and sufficient condition that solves the consensus problem is derived. Moreover, it is proved that Zeno behaviors are excluded. Finally, some numerical examples are given to illustrate that, with the proposed protocol, a multi-agent system can achieve consensus while greatly reducing event-triggered times.

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A Vision and Neural Network Based Air-Ground Coordinated control system

A Vision and Neural Network Based Air-Ground Coordinated Con...

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2017 IEEE International Conference on Unmanned systems (ICUS)

作者： Muyun Jiang Jiahui Shi Hongbin Ma You Li School of Automation Beijing Institute of Technology State Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institute of Technology

ISBN: (纸本)9781538631089;9781538631072

This paper presents an air-ground coordinated system made up of an Unmanned Aerial Vehicle(UAV) and an Unmanned Ground Vehicle(UGV).The movement of UGV is totally controlled by UAV and multiple sensors are adopted in the system to ensure the stability.A novel neutral network algorithm is introduced to identify the location and orientation of *** component is introduced and tested in detail and the coordinated system performs a satisfying result.

关键词： Air-ground system Neutral Network

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