检索结果-内蒙古大学图书馆

The 24th Chinese control and Decision Conference (第24届中国控制与决策学术年会 2012 CCDC)

作者： Lijing Dong Senchun Chai Baihai Zhang School of Automation Beijing Institute of Technology Beijing 100081 Key Laboratory of Intelligent Control and Decision of Complex SystemBeijing 100081

—In this paper, a synchronization of discrete multi-agent systems with random network delays was studied. By employing the graph and matrix theory, a model based predictive control algorithm is proposed to achieve leader-following consensus in a network of agents. Furthermore, a consensus protocol is developed based on this strategy. Numerical simulation examples are provided to illustrate the effectiveness of the theoretical results.

关键词： Multi-agent Synchronization and Time Delay

来源：评论

学校读者我要写书评

暂无评论

Design of networked air defense fire control simulation system based on BOM

Design of networked air defense fire control simulation syst...

引用

World Congress on intelligent control and Automation (WCICA)

作者： Shi-jun Chen Juan Zhang Chen Chen Beijing Institute of Technology Beijing Beijing CN Key Laboratory of Complex System Intelligent Control and Decision (Beijing Institute of Technology) Ministry of Education Beijing China

Networked air defense fire control simulation system featured with complicated interactions, varied system structure etc, and is usually faced with some difficulties in its development, such as the low capability of model reuse, the lack of regulations for model development and inflexible modification of federation. To overcome the difficulties, a framework in hierarchy of networked air defense fire control simulation system is constructed according to BOM development standard, and the component method for designing the basic model, compound model and federate is proposed, which effectively improved the efficiency of system development and the capability of model reuse. This method is not only applicable to the design of networked air defense fire control system, but also to the design of other simulation system with polytropic structure.

关键词： Atmospheric modeling Bills of materials Object oriented modeling Fires Analytical models Compounds Computational modeling

来源：评论

学校读者我要写书评

暂无评论

Fuzzy-Neural Networks for a piloted Quality Management system

Fuzzy-Neural Networks for a piloted Quality Management Syste...

引用

Mediterranean Electrotechnical Conference (MELECON)

作者： Hajer Ben Mahmoud Dammak Raouf Ketata Taieb Ben Romdhane Samir Ben Ahmed National Institute of Applied Science and Technology Tunis Tunisia Research units on Methods and tools for Complex Computer Systems (MOSIC) Tunis Tunisia Research units on Intelligent Control design and Optimization of Complex System (ICOS) Tunis Tunisia

The purpose of this paper is to provide a path for designing a tool for decision support to ensure the effectiveness of Quality Management system (QMS). For this, we propose a Fuzzy-Neural Networks (FNN) approach for improving the efficiency of such system. The aim of this approach is to classify the objectives for a real-world case study which presents a major problem for controlling the quality levels of its production lines. This approach provided a significant improvement when the testing data are various or complex.

关键词： Fuzzy neural networks Quality management Computational modeling Classification algorithms Biological system modeling Unified modeling language

来源：评论

学校读者我要写书评

暂无评论

An Overview of Hierarchical Temporal Memory: A New Neocortex Algorithm

An Overview of Hierarchical Temporal Memory: A New Neocortex...

引用

2012 International Conference on Modelling,Identification and control(建模、辨别与控制国际会议 ICMIC 2012)

作者： Xi Chen Wei Wang Wei Li Institute of System engineering Huazhong University of Science & TechnologyImage Processing and Int Candidate for Master of theInstitute of System engineering Huazhong University of Science &Technolog Department of Control Science &Engineering Image Processing and Intelligent Control Key Laboratory o

ISBN: (纸本)9781467315241

The overview presents the development and application of Hierarchical Temporal Memory (HTM).HTM is a new machine learning method which was proposed by Jeff Hawkins in *** is a biologically inspired cognitive method based on the principle of how human brain *** method invites hierarchical structure and proposes a memory-prediction framework, thus making it able to predict what will happen in the near *** overview mainly introduces the developing process of HTM, as well as its principle, characteristics, advantages and applications in vision, image processing and robots movement, some potential applications by using HTM , such as thinking process, are also put forward.

关键词： hierarchical Bayesian network spatial-temporal memory-prediction temporal sequence pattern recognition

来源：评论

学校读者我要写书评

暂无评论

An overview about pinning control of complex networks

An overview about pinning control of complex networks

引用

2012 International Conference on Modelling,Identification and control(建模、辨别与控制国际会议 ICMIC 2012)

作者： Xi Chen Lan Zhang Wei Li Institute of System engineering Huazhong University of Science & TechnologyImage Processing and Int Candidate for Master of Systemengineering Huazhong University of Science & TechnologyImageProcessin Department of Control Science &Engineering Image Processing and Intelligent Control Key Laboratory o

ISBN: (纸本)9781467315241

Synchronization and pinning control of complex networks is to regulate the agents' behavior and improve network *** this article, we review some recent developments in pinning *** algorithms and pining strategies in different types of complex networks are presented and *** pinning control is also *** addition, the research extended to discrete-time case is *** some related research, the development in consensus and flocking of multi-agent system are introduced *** last, we give some ideas about pinning control in social networks.

关键词： complex network pinning control adaptive control multi-agent systems

来源：评论

学校读者我要写书评

暂无评论

Recursive filtering for a class of nonlinear systems with missing measurements

Recursive filtering for a class of nonlinear systems with mi...

引用

2012 UKACC International Conference on control, control 2012

作者： Hu, Jun Wang, Zidong Shen, Bo Cai, Chenxiao Lam, James Research Institute of Intelligent Control and Systems Harbin Institute of Technology Harbin 150001 China Department of Information Systems and Computing Brunel University London UB8 3PH United Kingdom Institute for Automatic Control and Complex Systems University of Duisburg-Essen D-47057 Duisburg Germany School of Automation Nanjing University of Science and Technology 210094 Nanjing China Department of Mechanical Engineering University of Hong Kong Hong Kong Hong Kong

ISBN: (纸本)9781467315609

This paper is concerned with the finite-horizon recursive filtering problem for a class of nonlinear time-varying systems with missing measurements. The missing measurements are modeled by a series of mutually independent random variables obeying Bernoulli distributions with possibly different occurrence probabilities. Attention is focused on the design of a recursive filter such that, for the missing measurements, an upper bound for the filtering error covariance is guaranteed and such an upper bound is subsequently minimized by properly designing the filter parameters at each sampling instant. The desired filter parameters are obtained by solving two Riccati-like difference equations that are of a recursive form suitable for online applications. A simulation example is exploited to demonstrate the effectiveness of the proposed filter design scheme. © 2012 IEEE.

关键词： Difference equations

来源：评论

学校读者我要写书评

暂无评论

Three-dimensional multi-constraint route planning of unmanned aerial vehicle low-altitude penetration based on coevolutionary multi-agent genetic algorithm

引用

Journal of Central South University 2011年第5期18卷 1502-1508页

作者：彭志红吴金平陈杰 School of Automation Beijing Institute of Technology Key Laboratory of Complex System Intelligent Control and Decision of Ministry of Education Beijing Institute of Technology

To address the issue of premature convergence and slow convergence rate in three-dimensional (3D) route planning of unmanned aerial vehicle (UAV) low-altitude penetration,a novel route planning method was *** and foremost,a coevolutionary multi-agent genetic algorithm (CE-MAGA) was formed by introducing coevolutionary mechanism to multi-agent genetic algorithm (MAGA),an efficient global optimization algorithm.A dynamic route representation form was also adopted to improve the flight route ***,an efficient constraint handling method was used to simplify the treatment of multi-constraint and reduce the time-cost of planning *** and corresponding analysis show that the planning results of CE-MAGA have better performance on terrain following,terrain avoidance,threat avoidance (TF/TA2) and lower route costs than other existing *** addition,feasible flight routes can be acquired within 2 s,and the convergence rate of the whole evolutionary process is very fast.

关键词： unmanned aerial vehicle （UAV） low-altitude penetration three-dimensional （3D） route planning coevolutionary multiagent genetic algorithm （CE-MAGA）

来源：评论

学校读者我要写书评

暂无评论

Two-stage ARMAX parameter identification based on bias-eliminated least squares estimation and Durban's method

引用

Zidonghua Xuebao/Acta Automatica Sinica 2012年第3期38卷 491-496页

作者： Xin, Bin Bai, Yong-Qiang Chen, Jie School of Automation Beijing Institute of Technology Beijing 100081 China Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education Beijing 100081 China Decision and Cognitive Sciences Research Centre Manchester Business School The University of Manchester Manchester M15 6PB United Kingdom

This paper proposes a two-stage identification approach for the parameter identification of autoregressive moving average with exogenous variable (ARMAX) model. First, a bias-eliminated least squares method is employed to identify the autoregressive part with exogenous variable (ARX). Then, the Durbin's method is employed to transform the parameter identification of the moving average (MA) part into that of a long autoregressive (AR) model. The MA parameters are derived directly from the parameter relationship between the MA part and its equivalent long AR model. Finally, the noise variance can be computed by using the identified MA parameters. The performance comparison against the extended least-squares method in numerical simulations validates the effectiveness of the two-stage identification approach. Copyright © 2012 Acta Automatica Sinica. All rights reserved.

关键词： Parameter estimation

来源：评论

学校读者我要写书评

暂无评论

A Two-stage ARMAX Identification Approach Based on Bias-eliminated Least Squares and Parameter Relationship between MA Process and Its Inverse

引用

Acta Automatica Sinica 2012年第3期38卷 491-496页

作者： Bin XIN Jie CHEN School of Automation Beijing Institute of Technology Beijing 100081 China Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education Beijing 100081 China Decision and Cognitive Sciences Research Centre Manchester Business School University of Manchester M15 6PB Manchester UK

In this paper, a two-stage approach is proposed for the parameter identification of autoregressive moving average with exogenous (ARMAX) variable model. The proposed approach identifies the autoregressive part with exogenous variable (ARX) by a bias-eliminated least squares method, and the moving average (MA) part by utilizing the parameter relationship between MA process and its inverse. Finally, the noise variance can be computed by using the identified MA parameters. Numerical simulations validate the effectiveness of the proposed approach.

关键词： Autoregressive moving average with exogenous (ARMAX) model parameter identification inverse model least-squares method bias compensation

来源：评论

学校读者我要写书评

暂无评论

Editorial

引用

International Journal on Artificial Intelligence Tools 2012年第3期21卷

作者： Cui, Zhihua Shi, Zhongzhi Alex, Rajan Complex System and Computational Intelligence Laboratory School of Computer Science and Technology Taiyuan University of Science and Technology Shanxi 030024 China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences No. 6 Kexueyuan South Road Zhongguancun Haidian District Beijing 100190 China Department of Engineering and Computer Science West Texas AandM University Canyon TX 79015 United States

Swarm intelligence is an umbrella for amount optimization algorithms. This discipline deals with natural and artificial systems composed of many individuals that coordinate their activities using decentralized control and self-organization. In general, multi-agent systems that use some swarm intelligence are said to be swarm intelligent systems. They are mostly used as search engines and optimization tools. The goal of this special issue has been to offer a wide spectrum of sample works throughout the world about innovative methodologies of swarm intelligence. The issue should be useful both for beginners and experienced researchers in the field of computational intelligence. © 2012 World Scientific Publishing Company.

关键词： Swarm intelligence

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：