检索结果-内蒙古大学图书馆

第25届中国控制与决策会议

作者： Xin Xu Wenjie Chen Mingjun Jiang School of Automation Beijing Institute of Technology Key Laboratory of Complex System Intelligent Control and Decision (Beijing Institute of Technology) Ministry of Education China North Vehicle Research Institute

ISBN: (纸本)9781467355339

An algorithm namely the TDOA-Camberra is proposed for the multi-target passive location in this paper. The algorithm uses the Camberra distance to associate the target data and do the optimal search, then uses the time difference of arrival (TDOA) to locate multiple targets passively once data from the same target is determined. At the same time, as the computing time of associating data using Camberra distance is long, the improved sequential similarity detection algorithm (SSDA) is added to the calculation in order to shorten the time of the data association, thus to increase the speed of the multi-target passive location. The theoretical analysis and simulation experiment proves that the multi-target passive location can be implemented by the proposed algorithm accurately and quickly.

关键词： passive location, data association, Camberra distance, SSDA

来源：评论

学校读者我要写书评

暂无评论

Pyramid histogram of oriented gradient and particles swarm optimization based SVM for vehicle detection

Pyramid histogram of oriented gradient and particles swarm o...

引用

2013 7th International Conference on Image and Graphics, ICIG 2013

作者： Wang, Hailuo Bo, Wang Sun, Li College of Automation Beijing Institute of Technology Beijing China Key Laboratory of Intelligent Control and Decision of Complex System Beijing Institute of Technology Beijing China

ISBN: (纸本)9780769550503

Vehicle Detection is an important part in intelligent transportation system (ITS) and driver assistance system. Considering vehicles have strong edges and lines in different orientation and scales, in this paper, we presents a method for detecting vehicles based on a feature named Pyramid Histogram of Oriented Gradient. This feature provides spatial distribution information of edges which was often ignored by other features. Specifically, we extract PHOG features from a traffic image and a vector is obtained as representation of this image. In order to speed up the process of calculation, Principle Component Analysis (PCA) algorithm is applied to these vectors to reduce their dimensionality. Tests show the efficiency improved significantly. Theses representative vectors are then used to train SVM classifier. To ensure the final classification accuracy, we adopt Particles Swarm Optimization (PSO) method to gain the parameters used in SVM classification. Optimal parameters correspond with optimal result. Experiments demonstrate the superiority of the proposed approach which has achieved an average accuracy of 95% on test images. © 2013 IEEE.

关键词： Vehicles

来源：评论

学校读者我要写书评

暂无评论

Comparison of several filtering methods for linear multi-agent systems with local unknown parametric couplings

Comparison of several filtering methods for linear multi-age...

引用

3rd IFAC Conference on intelligent control and Automation Science, ICONS 2013

作者： Lv, Yini Ma, Hongbin Yang, Chenguang Fu, Mengyin Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institute of Technology Beijing 100081 China School of Computing and Mathematics Plymouth University United Kingdom

ISBN: (纸本)9783902823458

In this paper, several filtering methods for a class of discrete-time stochastic linear time-varying multi-agent systems with local coupling uncertainties have been investigated. Every agent can only observe its own measurements (outputs) and its neighbor agents' outputs while the states are invisible to any agent because of communication limitations existing in the considered multi-agent system. Because of the information constraints, without knowing the coupling gains of the local interactions, it is not easy for each agent to estimate its states by traditional Kalman filter or other state observers. Noting of the existence of coupling uncertainties in many practical applications, this paper introduces one general framework of decentralized filtering problem of multi-agent systems. For the considered system, based on the key idea of state augmentation and the certainty-equivalence principle borrowed from principles in adaptive control, we introduce several filtering methods to resolve the fundamental problem considered in this paper. By conducting extensive simulations, the consuming time and estimation errors of every method are compared for one typical example, which suggests which method is more precise and faster. Copyright © 2013 IFAC.

关键词： Kalman filters

来源：评论

学校读者我要写书评

暂无评论

Hand-eye servo and flexible control of an anthropomorphic arm

Hand-eye servo and flexible control of an anthropomorphic ar...

引用

2013 IEEE International Conference on Robotics and Biomimetics, ROBIO 2013

作者： Ma, Gan Huang, Qiang Yu, Zhangguo Chen, Xuechao Meng, Libo Sultan, Malik Saad Zhang, Wen Liu, Yan IRI School of Mechatronical Engineering Beijing Institute of Technology Beijing China Key Laboratory of Biomimetic Robots and Systems Ministry of Education China Key Laboratory of Intelligent Control and Decision of Complex System China

ISBN: (纸本)9781479927449

One key technology for a humanoid robot is to sense the environment accurately and control the movement of the robot in realtime. This paper addresses this problem and focuses on the visual servoing control of an anthropomorphic robotic arm. A high precision, image-based visual servo algorithm for an eye-in-hand visual system is proposed to control the movement of the anthropomorphic arm. The control objective of the controller is to lock all the feature points at fixed points on the image plane. Then, impedance control law is implemented to keep the flexible of the arm. Finally, the effectiveness of the proposed methods are verified by experiments on our humanoid robotic arm platform. © 2013 IEEE.

关键词： Anthropomorphic robots

来源：评论

学校读者我要写书评

暂无评论

Application of soft magnetic composite material in the field of electrical machines

Application of soft magnetic composite material in the field...

引用

2013 International Conference on Vehicle and Mechanical Engineering and Information Technology, VMEIT 2013

作者： Li, Xiao Bei Zhao, Jing Chen, Zhen School of Automation Beijing Institute of Technology Beijing 100081 China Key laboratory for Intelligent Control and Decision of Complex Systems Beijing Institute of Technology Beijing 10008 China

ISBN: (纸本)9783037858202

The property of the soft magnetic composite (SMC) material is introduced. Take the traditional material used for electric machine, i.e. the silicon steel lamination, as the reference, this paper summarizes the application advantages of SMC in the typical electric machine, such as tubular permanent-magnet liner machine, high-speed permanent-magnet machine, claw-pole machine, axial flux permanent-magnet machine and radial flux permanent-magnet machine. SMC material has much applied potential in the field of electric machine. © (2013) Trans Tech Publications, Switzerland.

关键词： Electric machinery

来源：评论

学校读者我要写书评

暂无评论

The CPG gait generate method of the quadruped robot based on iterative learning control algorithm

The CPG gait generate method of the quadruped robot based on...

引用

2013 2nd International Conference on Micro Nano Devices, Structure and Computing Systems, MNDSCS 2013

作者： Wang, Cheng Gao, Junyao Duan, Xingguang Liu, Yi Li, Xin Xu, Zhe Sun, Wentao Intelligent Robotics Institute China Key Laboratory of Biomimetic Robots and Systems Ministry of Education China Key Laboratory of Intelligent control and decision of complex systems School of Mechatronical Engineering Beijing Institute of Technology Nandajie Zhongguancun Haidian Beijing 100081 China

ISBN: (纸本)9783037856420

Based on the quadruped robot, this paper mainly studies the two directions of the content. The first part mainly introduces the mechanical structure design and the construction of the control system of the quadruped robot, completes the prototype design of the quadruped robot based on hydraulic power system. The second part studies the CPG gait generate method of the quadruped robot based on iterative learning control algorithm. From the principle of bionics, firstly, we use the CPG principle to generate gait, and then use the iterative learning control theory to make the control more optimization. © (2013) Trans Tech Publications, Switzerland.

关键词： Learning algorithms

来源：评论

学校读者我要写书评

暂无评论

A Framework of Finite-model Kalman Filter with Case Study： MVDP-FMKF Algorithm

引用

自动化学报 2013年第8期39卷 1246-1256页

作者： FENG Bo MA Hong-Bin FU Meng-Yin WANG Shun-Ting School of Automation Beijing Institution of TechnologyBeijing 100081China Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institution of TechnologyBeijing 100081China

然而，过滤技术的 Kalman 广泛地在许多应用被使用了为线性 Gaussian 系统的标准 Kalman 过滤器不能通常工作很好或甚至面对大模型无常分叉。在实际应用程序，有高费用的实验的大数字是昂贵的或对甚至不可能获得一个准确系统模型。在有... 详细信息

然而，过滤技术的 Kalman 广泛地在许多应用被使用了为线性 Gaussian 系统的标准 Kalman 过滤器不能通常工作很好或甚至面对大模型无常分叉。在实际应用程序，有高费用的实验的大数字是昂贵的或对甚至不可能获得一个准确系统模型。在有限模型的适应控制上由我们的以前的开创的工作激发了，过滤的有限模型的 Kalman 的一个框架在这份报纸被介绍。这个框架想那大模型无常可以被能与对方很不同的已知的模型的一个有限集合限制。而且，在集合的已知的模型的数字能灵活地被选择以便换句话说，不明确的模型可以被已知的模型之一总是接近大模型无常被已知的模型的凸的壳盖住。在介绍框架以内根据经由最小化的向量距离原则的适应切换的想法，一个简单有限模型的 Kalman 过滤器， MVDP-FMKF，被广泛的模拟算术地提出并且说明。MEMS 回转仪飘移的一个实验验证了建议算法的有效性，显示有限模型的 Kalman 过滤器的机制在 Kalman 过滤器的实际应用有用、有效，特别在惯性的航行系统。

关键词：卡尔曼滤波技术有限模型框架算法卡尔曼滤波器不确定性模型惯性导航系统自适应控制

来源：评论

学校读者我要写书评

暂无评论

Modeling, optimization and control in ground-based digital weapon systems

引用

Zidonghua Xuebao/Acta Automatica Sinica 2013年第7期39卷 943-962页

作者： Chen, Jie Fang, Hao Xin, Bin Deng, Fang School of Automation Beijing Institute of Technology Beijing 100081 China Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing 100081 China

An overview of the modeling, optimization and control issues regarding digital ground-based weapon systems is provided by reviewing the previous works along five research lines: 1) design and optimization of the architecture and hierarchy of complex integrated weapon systems;2) optimization and decision-making in integrated command and control;3) parameter identification and state estimation of multidimensional mobile targets;4) coordinative control of multiple autonomous platforms;and 5) modeling and control of nonlinear servo systems. The survey covers the command and control, the fire control and the platform control involved in ground-based weapon systems. Based on an introduction and analysis of current research status along the five lines, the paper also points out several significant topics which deserve further research in the future. Copyright © 2013 Acta Automatica Sinica. All rights reserved.

关键词： State estimation

来源：评论

学校读者我要写书评

暂无评论

intelligent optimized control: overview and prospect

引用

Zidonghua Xuebao/Acta Automatica Sinica 2013年第11期39卷 1831-1848页

作者： Xin, Bin Chen, Jie Peng, Zhi-Hong School of Automation Beijing Institute of Technology Beijing 100081 China Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing 100081 China

A literature review regarding intelligent optimized control (IOC) is provided along the branches including fuzzy optimized control, neural optimized control, fuzzy-neural optimized control, intelligent optimizers based optimized control and so on. Accordingly, concepts which are closely related to IOC are analyzed in depth. Also, a classification of IOC methods is presented. Finally, several important issues about IOC are discussed and the development of IOC in future is predicted. Copyright © 2013 Acta Automatica Sinica. All rights reserved.

关键词： Software engineering

来源：评论

学校读者我要写书评

暂无评论

Extension of SGMF Using Gaussian Sum Approximation for Nonlinear/Non-Gaussian Model and Its Application in Multipath Estimation

引用

Acta Automatica Sinica 2013年第1期39卷 1-10页

作者： Jie CHEN Lan CHENG Ming-Gang GAN Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education Beijing Institute of Technology Beijing 100081 China

The multipath estimation of global navigation satellite system (GNSS) signal is actually the state estimation of nonlinear/non-Gaussian systems. The extension of sliced Gaussian mixture filter (ESGMF) based on Gaussian sum approximation is proposed for the state estimation of nonlinear/non-Gaussian state space, and the probability density function (PDF) expression of states is derived recursively for a time varying system. Resampling is applied to the prediction PDF to reduce the complexity of Bayesian inference. The simulation result of multipath estimation with ESGMF shows that the ESGMF algorithm performs better in accuracy than the algorithms based on particle filter (PF) and extended Kalman filter (EKF).

关键词： Non-Gaussian noise Gaussian sum probability density function (PDF) sliced Gaussian mixture filter (SGMF) multipath estimation

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：