检索结果-内蒙古大学图书馆

Synchronising second-order multi-agent systems under dynamic topology via reference model-based algorithm

Journal of control and Decision 2014年第3期1卷 214-225页

作者： Jiahu Qin Huijun Gao Tasawar Hayat Fuad E.Alsaadi Department of Automation University of Science and Technology of ChinaHefeiChina Research School of Engineering Australian National UniversityCanberraAustralia Research Institute of Intelligent Control and Systems Harbin Institute of TechnologyHarbinChina Nonlinear Analysis and Applied Mathematics Group King Abdulaziz University(KAU)JeddahSaudi Arabia Faculty of Engineering Department of Electrical and Computer EngineeringKing Abdulaziz UniversityJeddahSaudi Arabia Department of Mathematics Quaid-I-Azam UniversityIslamabadPakistan

This paper revisits the synchronisation problem for second-order multi-agent systems(MASs)under dynamically changing communication *** employing the reference model-based synchronisation algorithm,it is finally shown that synchronisation for both the position and velocity states can be achieved if the union of the communication topologies has a directed spanning tree frequently *** extends the existing results obtained for second-order MASs which exploits mild communication topology condition guaranteeing the synchronisation to a more general *** analysis is successfully performed by exploiting the product properties of row-stochastic matrices,which can also provide us with an estimate the convergence rate towards the synchronisation.

关键词： synchronisation double-integrator agents weakest possible communication topology rate of convergence

来源：评论

学校读者我要写书评

暂无评论

Extreme learning machine for the displacement prediction of landslide under rainfall and reservoir level

引用

Stochastic Environmental Research and Risk Assessment 2014年第8期28卷 1957-1972页

作者： Cheng Lian Zhigang Zeng Wei Yao Huiming Tang School of Automation Huazhong University of Science and Technology Wuhan China Key Laboratory of Image Information Processing and Intelligent Control Ministry of Education Wuhan China School of Computer Science South-Central University for Nationalities Wuhan China Faculty of Engineering China University of Geosciences Wuhan China

Landslide prediction is always the emphasis of landslide research. Using global positioning system GPS technologies to monitor the superficial displacements of landslide is a very useful and direct method in landslide evolution analysis. In this paper, an EEMD–ELM model [ensemble empirical mode decomposition (EEMD) based extreme learning machine (ELM) ensemble learning paradigm] is proposed to analysis the monitoring data for landslide displacement prediction. The rainfall data and reservoir level fluctuation data are also integrated into the study. The rainfall series, reservoir level fluctuation series and landslide accumulative displacement series are all decomposed into the residual series and a limited number of intrinsic mode functions with different frequencies from high to low using EEMD technique. A novel neural network technique, ELM, is employed to study the interactions of these sub-series at different frequency affecting landslide occurrence. Each sub-series extracted from accumulative displacement of landslide is forecasted respectively by establishing appropriate ELM model. The final prediction result is obtained by summing up the calculated predictive displacement value of each sub. The EEMD–ELM model shows the best accuracy comparing with basic artificial neural network models through forecasting the displacement of Baishuihe landslide in the Three Gorges reservoir area of China.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Performance of combined artificial neural networks for forecasting landslide displacement

Performance of combined artificial neural networks for forec...

引用

International Joint Conference on Neural Networks (IJCNN)

作者： Cheng Lian Zhigang Zeng Wei Yao Huiming Tang School of Automation Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China Wuhan Hubei China School of Computer Science South-Central University for Nationalities Wuhan China Faculty of Engineering China University of Geo-sciences Wuhan China

An efficient and accurate method for landslide displacement prediction is very important to reduce the casualties and property losses caused by this type of natural hazard. In recent years, many kinds of artificial neural networks (ANNs) have been widely applied to landslide displacement prediction. But we can't know which type of ANN is the best until we have calculated the prediction error. An improper choice of ANN may result in bad prediction results. In this paper, we use a neural networks combination prediction method based on the discounted MSFE (mean squared forecast error) to reduce the risk of selecting the types of ANNs. Four popular ANNs, radial basis function neural network (RBFNN), support vector regression (SVR), least squares support vector machine (LSSVM) and extreme learning machine (ELM), are selected as candidate neural networks. The performance of our model is verified through two case studies in Baishuihe landslide and Bazimen landslide. Experimental results reveal that the combining neural networks can improve the generalization abilities of ANNs.

关键词： Terrain factors Artificial neural networks Monitoring Predictive models Kernel Training

来源：评论

学校读者我要写书评

暂无评论

A Framework for the Nonlinear control of Dual-Stage Systems

引用

IFAC Proceedings Volumes 2014年第3期47卷 1140-1145页

作者： Aurélio T. Salton Jeferson V. Flores João M. Gomes da Silva Jinchuan Zheng Zhiyong Chen Group of Automation and Control Systems (GACS) Pontifícia Universidade Católica do Rio Grande do Sul Brazil Department of Electrical Engineering Universidade Federal do Rio Grande do Sul Brazil Faculty of Engineering and Industrial Sciences Swinburne University of Technology Australia School of Electrical Engineering and Computer Science The University of Newcastle Australia

This paper presents a framework for the nonlinear control of dual-stage actuators (DSA). Motivated by various nonlinear controllers that make use of sector bounded and £ ∞ nonlinearities for the control of saturated linear systems, a methodology for integrating such nonlinear functions in order to improve the performance of DSA is presented. The stability of the closed-loop system is assessed by casting the nonlinearities in a mixed sector-bounded plus quasi-Linear Parameter Varying (LPV) framework, leading to a set of linear matrix inequalities (LMIs) to be satisfied by the controller parameters. Taking advantage of the developed framework, a new £ ∞ function is proposed to avoid the saturation of the secondary actuator. Simulation results illustrate the validity of the proposed framework and its potential for the performance improvement of DSA.

关键词： DSA Nonlinear Feedback Time-Optimal Performance Macro-Micro Manipulator

来源：评论

学校读者我要写书评

暂无评论

Towards an inclusive Parkinson's screening system

Towards an inclusive Parkinson's screening system

引用

International Conference on System Theory, control, and Computing (ICSTCC)

作者： Oana Geman Saeid Sanei Iuliana Chiuchisan Adrian Graur Aleš Procházka Oldřich Vyšata Department of Health and Human Development “Stefan eel Mare” University of Suceava Romania Department of Computer Science Electronics and Automation “Stefan cel Mare” University of Suceava Romania Faculty of Engineering and Physical Sciences University of Surrey United Kingdom Department of Computing and Control Engineering Institute of Chemical Technology Czech Republic Department of Neurology Charles University Czech Republic

In this study, brain, and gait dynamic information were combined and used for diagnosis and monitoring of Parkinson's disease (the most important Neurodegenerative Disorder). Analysis of the information corresponding to a prescribed movement involving tremor, and the related changes in brain connectivity is novel and original. Analytically, developing a space-time nonlinear adaptive system which fuses brain and gait information algorithmically is proposed here for the first time. The overall dynamic system will be constrained by the clinical impressions of the patient symptoms embedded in a knowledge-based system. The entire complex constrained problem were solved to enable a powerful model for recognition and monitoring of Parkinson's disease and establishing appropriate rules for its clinical following up.

关键词： Brain modeling Adaptation models Parkinson's disease Chaos Signal processing algorithms Nonlinear dynamical systems

来源：评论

学校读者我要写书评

暂无评论

Smart passive infrared sensor - Hardware platform

Smart passive infrared sensor - Hardware platform

引用

Annual Conference of the IEEE Industrial Electronics Society

作者： Artur Frankiewicz Rafal Cupek Faculty of Automation Control Electronics and Computer science Silesian University of Technology

ISBN: (纸本)9781479902255

Passive Infrared Sensors (PIR) are inexpensive devices widely used as motion detectors. Standard sensor provides just trigger signal on movement detection. This paper aims to extend standard usage of the sensor from motion detection to motion recognition and activity classification. In applications where motion detection based on video surveillance is not possible due regulations or high costs smart PIR sensor could be the only solution. This publication starts the topic of PIR based motion classification with analyses of hardware requirements and hardware selection for the smart sensor.

关键词： PIR Smart motion sensor Motion detection

来源：评论

学校读者我要写书评

暂无评论

Rate control and flight stabilization for a quadrotor system

Rate control and flight stabilization for a quadrotor system

引用

International Conference on Unmanned Aircraft Systems (ICUAS)

作者： Benjamin Jahn Alexander Barth Kai Wulff Tobias Simon Jan Römisch Control Engineering Group Computer Science and Automation Faculty Ilmenau University of Technology Ilmenau Germany Integrated Communication Systems Group Computer Science and Automation Faculty Ilmenau University of Technology Ilmenau Germany

In this paper we propose a stability augmentation system for a quadrotor, enabling direct rate control for a human pilot. Our system includes feedforward for rate control, feedback for disturbance attenuation, and an online optimization technique for handling input restrictions. We show that the proposed algorithms are able to stabilize the system under highly challenging flight conditions, such as wind gusts and fast manual descend. Our input restriction technique ensures that the revolution speeds for the desired torques are feasible. The complete control system is analyzed using MATLAB, and full experimental validation is provided based on a quadrotor prototype.

关键词： Mathematical model Torque Actuators Angular velocity Equations Feedforward neural networks Stability analysis

来源：评论

学校读者我要写书评

暂无评论

Virtual Organizations of Agents for Monitoring Elderly and Disabled People in Geriatric Residences

Virtual Organizations of Agents for Monitoring Elderly and D...

引用

International Conference on Information Fusion

作者： Carolina Zato Sara Rodriguez Dante I. Tapia Juan M. Corchado Javier Bajo Computers and Automation Control Department Faculty of Science University of Salamanca Artificial Intelligent Department Faculty of Computer Science Technical University of Madrid

ISBN: (纸本)9781479902842

This paper presents the use of PANGEA platform applied to improve healthcare and assistance to elderly and dependent people in geriatric residences. PANGEA is based on Virtual Organizations of agents (VO) and integrates a set of autonomous deliberative agents designed to support the carers' activities and to guarantee that the patients are given the right care. The system makes use of Wireless Sensor Networks and a Real-Time Locating System for providing autonomous responses according to the environment status. Agents are a suitable alternative to manage the enormous quantity of data provided of sensors because they can represent autonomous entities by modelling their capabilities, expertise and intentions. This approach facilitates the inclusion of context-aware capabilities when developing intelligent and adaptable systems, where functionalities can communicate in a distributed and collaborative way. Several tests have been performed to evaluate this framework and preliminary results and conclusions are presented.

关键词： Multi-agent systems Virtual organizations Deliberative agents Real-time locating systems Wireless sensor networks Information fusion process Health care

来源：评论

学校读者我要写书评

暂无评论

Nonlinear analysis of dynamical complex networks 2014

Abstract and Applied Analysis

引用

Abstract and Applied Analysis 2014年第1期2014卷

作者： Wang, Zidong Shen, Bo Dong, Hongli Hu, Jun He, Xiao Ding, Derui Department of Computer Science Brunel University Uxbridge Middlesex UB8 3PH United Kingdom Communication Systems and Networks (CSN) Research Group Faculty of Engineering King Abdulaziz University Jeddah 21589 Saudi Arabia School of Information Science and Technology Donghua University Shanghai 200051 China College of Electrical and Information Engineering Northeast Petroleum University Daqing 163318 China Research Institute of Intelligent Control and Systems Harbin Institute of Technology Harbin 150001 China Department of Applied Mathematics Harbin University of Science and Technology Harbin 150080 China Department of Automation Tsinghua University Beijing 100084 China Department of Applied Mathematics Anhui Polytechnic University Wuhu 241000 China

来源：评论

学校读者我要写书评

暂无评论

An introduction to the special issue on advanced control methods: Theory and application

引用

WSEAS Transactions on Systems 2013年第6期12卷 301-303页

作者： Pekař, Libor Neri, Filippo Department of Automation and Control Engineering Faculty of Applied Informatics Tomas Bata University in Zlín Zlín Czech Republic WSEAS Transactions on Systems Department of Computer Science University of Naples Federico II Naples Italy

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：