检索结果-内蒙古大学图书馆

IEEE International Instrumentation and Measurement Technology Conference

作者： Chun-Fu Lin Sheng-Fuu Lin Wen-Jyi Hwang Yung-Hsiang Chen Chi-Hung Hwang Instrument Technology Research Center National Applied Research Laboratories Taiwan Republic of China Institute of Electrical Control Engineering National Chiao Tung University Taiwan Republic of China Department of Computer Science and Information Engineering National Taiwan Normal University Taiwan Republic of China

ISBN: (纸本)9781479961153

Over the last decades, several studies have demonstrated the reflectance effectiveness of middle wave infrared (MWIR) for discriminating among different types of vegetation, and estimating the total and leaf biomass of several forest ecosystems. Therefore, a MWIR aerial image capturing system for vegetation observation is urgently required. Furthermore, stitching those MWIR aerial images together is necessary for a panorama of the region of interest (ROI). Most traditional stitching algorithms for aerial images are designed for visible images, and are not suitable for infrared images that are noisy, blurry, or lack detail. In this paper, a novel real-time MWIR aerial image capturing and stitching system for vegetation observation is proposed. The proposed stitching algorithm for aerial infrared images improved from scale invariant feature transform (SIFT) and random M-least square can find a sufficient number of feature points easily and perform rapid calculations. Therefore, the proposed MWIR aerial image capturing and stitching system for vegetation observation can operate in real time.

关键词： real-time MWIR capturing system stitching

来源：评论

学校读者我要写书评

暂无评论

GROUP CONSENSUS FOR MULTIPLE NETWORKED EULER-LAGRANGE SYSTEMS WITH PARAMETRIC UNCERTAINTIES

引用

Journal of Systems Science & Complexity 2014年第4期27卷 632-649页

作者： HU Hongxiang ZHANG Zhe YU Li YU Wenwu XIE Guangming Department of Mathematics Hangzhou Dianzi University Zhejiang Provincial United Key Laboratory of Embedded Systems Department of AutomationZhejiang University of Technology Department of Mathematics Southeast University School of Electrical and Computer Engineering RMIT University Faculty of Engineering King Abdulaziz University Center for Systems and Control State Key Laboratory of Turbulence and Complex SystemsCollege of EngineeringPeking University

In this paper,a group consensus problem is investigated for multiple networked agents with parametric uncertainties where all the agents are governed by the Euler-Lagrange system with uncertain *** the group consensus problem,the agents asymptotically reach several different states rather than one consistent state.A novel group consensus protocol and a time-varying estimator of the uncertain parameters are proposed for each agent in order to solve the couple-group consensus *** is shown that the group consensus is reachable even when the system contains the uncertain ***,the multi-group consensus is discussed as an extension of the couple-group consensus,and then the group consensus with switching topology is *** results are finally provided to validate the effectiveness of the theoretical analysis.

关键词： Euler-Lagrange system group consensus multi-agent systems switching topologies.

来源：评论

学校读者我要写书评

暂无评论

The neuviz data visualization tool for visualizing internet-measurements data

引用

Mondo Digitale 2014年第49期13卷

作者： Futia, Giuseppe Zimuel, Enrico Basso, Simone De Martin, Juan Carlos Nexa Center Italy R and D department of Zend Technologies University of Amsterdam Brown University United States Nexa Center Department of Control and Computer Engineering Italy Nexa Center Institute of Electrical and Electronic Engineers Italy

In this paper we present NeuViz, a data processing and visualization architecture for network measurement experiments. NeuViz has been tailored to work on the data produced by Neubot (Net Neutrality Bot), an Internet bot that performs periodic, active network performance tests. We show that NeuViz is an effective tool to navigate Neubot data to identify cases (to be investigated with more specific network tests) in which a protocol seems discriminated. Also, we suggest how the information provided by the NeuViz Web API can help to automatically detect cases in which a protocol seems discriminated, to raise warnings or trigger more specific tests.

关键词： Network performance

来源：评论

学校读者我要写书评

暂无评论

A stable nonlinear in parameter neural network controller for a class of saturated nonlinear systems 19

A stable nonlinear in parameter neural network controller fo...

引用

19th IFAC World Congress on International Federation of Automatic control, IFAC 2014

作者： Esfandiari, K. Abdollahi, F. Talebi, H.A. Center of Excellence on Control and Robotics Department of Electrical Engineering AmirKabir University of Technology Tehran Iran Department of Electrical and Computer Engineering Concordia University MontrealQC Canada

ISBN: (纸本)9783902823625

This paper deals with the tracking problem for a class of uncertain nonlinear systems subjected to actuator saturation constraint. Despite most of proposed control schemes for saturated systems which employed linear in parameter neural networks (LPNNs), in the present work nonlinear in parameter neural network (NLPNN) is introduced to support global approximation property. To compensate the effect of the input saturation constraint an auxiliary system is introduced and the error dynamics are modified based on the auxiliary states. Then, learning rules are achieved based on the back propagation (BP) algorithm and by adding two robustifying terms to the standard BP learning rules the stability of the overall system is ensured via Lyapunov direct method. Finally simulations performed on a "generalized pendulum" nonlinear system to illustrate the effectiveness of the proposed tracking control scheme. © IFAC.

关键词： Adaptive control systems

来源：评论

学校读者我要写书评

暂无评论

Pursuit formation control scheme for double-integrator multi-agent systems 19

Pursuit formation control scheme for double-integrator multi...

引用

19th IFAC World Congress on International Federation of Automatic control, IFAC 2014

作者： Rezaee, Hamed Abdollahi, Farzaneh Center of Excellence on Control and Robotics Department of Electrical Engineering AmirKabir University of Technology Tehran Iran Department of Electrical and Computer Engineering Concordia University MontrealQC Canada

ISBN: (纸本)9783902823625

Pursuit formation control of double-integrator Multi-Agent Systems (MASs) is considered in this paper. To achieve a formation, a hierarchical control scheme is proposed in two layers. In the first layer, in a leaderless architecture, each agent pursues another one in a cyclic topology to achieve a regular polygon formation around a centroid, namely, pursuit centroid, and in the second layer, the agents agree on a pursuit centroid around which they pursue each other. Despite existing cyclic pursuit approaches in the literature which are based on agents with kinematic models and constant forward speeds, the proposed approach is based on agents with double-integrator dynamics without speed constraints. Numerical simulations for a team of six agents confirm the accuracy of the proposed control scheme. © IFAC.

关键词： Multi agent systems

来源：评论

学校读者我要写书评

暂无评论

Hybrid systems with memory: Modelling and stability analysis via generalized solutions 19

Hybrid systems with memory: Modelling and stability analysis...

引用

19th IFAC World Congress on International Federation of Automatic control, IFAC 2014

作者： Liu, Jun Teel, Andrew R. Department of Automatic Control and Systems Engineering University of Sheffield SheffieldS1 3JD United Kingdom Center for Control Dynamical Systems and Computation Department of Electrical and Computer Engineering University of California Santa BarbaraCA93106 United States

ISBN: (纸本)9783902823625

Hybrid systems with memory are dynamical systems exhibiting both hybrid and delay phenomena. We present a general modelling framework for such systems using hybrid functional inclusions, whose generalized solutions are defined on hybrid time domains and evolve in the phase space of hybrid memory arcs equipped with the graphical convergence topology. We prove a general existence result based on some basic conditions on the data of hybrid systems. We further establish sufficient conditions for the stability analysis of hybrid systems with memory using Lyapunov-Razumikhin (L-R) functions. We demonstrate the stability results on a general nonlinear system with switching dynamics and state jumps. © IFAC.

关键词： System stability

来源：评论

学校读者我要写书评

暂无评论

Closed-Loop Applicability of the Sign-Perturbed Sums Method

Closed-Loop Applicability of the Sign-Perturbed Sums Method

引用

IEEE Annual Conference on Decision and control

作者： Balazs Csanad Csaji Erik Weyer Fraunhofer Project Center at MTA SZTAKI: The Institute for Computer Science and Control Hungarian Academy of Sciences Kende utca 13-17 Budapest Hungary H-1111 Department of Electrical and Electronic Engineering Melbourne School of Engineering The University of Melbourne 240 Grattan Street Victoria 3010 Australia

ISBN: (纸本)9781479978878

Sign-Perturbed Sums (SPS) is a non-asymptotic system identification method that can construct confidence regions for general linear systems. It works under mild statistical assumptions, such as symmetric and independent noise terms. The SPS confidence region includes the prediction error estimate (PEM) and, for any finite sample and user-chosen confidence probability, it contains the true system parameter with exactly the given probability. Originally, SPS was introduced for open-loop systems, this paper overviews its applicability in closed-loop setups. The three main PEM approaches of closed-loop identification are addressed: direct, indirect and joint input-output, and it is discussed whether SPS can be applied to construct guaranteed finite sample confidence regions around these PEM estimates. Some parametrization issues are also highlighted and, finally, two numerical experiments are presented demonstrating SPS for closed-loop systems.

关键词： Induction loop systems system parameter Closed loop systems CLOSED LOOP sums Linear system confidence CENTROSYMMETRIC

来源：评论

学校读者我要写书评

暂无评论

Autonomy and Machine Intelligence in Complex Systems: A Tutorial

Autonomy and Machine Intelligence in Complex Systems: A Tuto...

引用

American control Conference

作者： Kyriakos G. Vamvoudakis Panos J. Antsaklis Warren E. Dixon Joao P. Hespanha Frank L. Lewis Hamidreza Modares Bahare Kiumarsi Center for Control Dynamical-systems and Computation (CCDC) University of California Santa Barbara CA 93106-9560 USA Electrical Engineering Department University of Notre Dame Notre Dame IN 46556 USA Department of Mechanical and Aerospace Engineering University of Florida Gainesville FL 32611 USA The University of Texas at Arlington Research Institute (UTARI) Ft. Worth TX 76118 USA

ISBN: (纸本)9781479917730

This tutorial paper will discuss the development of novel state-of-the-art control approaches and theory for complex systems based on machine intelligence in order to enable full autonomy. Given the presence of modeling uncertainties, the unavailability of the model, the possibility of cooperative/non-cooperative goals and malicious attacks compromising the security of teams of complex systems, there is a need for approaches that respond to situations not programmed or anticipated in design. Unfortunately, existing schemes for complex systems do not take into account recent advances of machine intelligence. We shall discuss on how to be inspired by the human brain and combine interdisciplinary ideas from different fields, i.e. computational intelligence, game theory, control theory, and information theory to develop new self-configuring algorithms for decision and control given the unavailability of model, the presence of enemy components and the possibility of network attacks. Due to the adaptive nature of the algorithms, the complex systems will be capable of breaking or splitting into parts that are themselves autonomous and resilient. The algorithms discussed will be characterized by strong abilities of learning and adaptivity. As a result, the complex systems will be fully autonomous, and tolerant to communication failures.

关键词： Machine Learning Complex systems Autonomy Information Theory

来源：评论

学校读者我要写书评

暂无评论

Sign-Perturbed Sums (SPS) with Instrumental Variables for the Identification of ARX Systems

Sign-Perturbed Sums (SPS) with Instrumental Variables for th...

引用

IEEE Annual Conference on Decision and control

作者： Valerio Volpe Balazs Cs. Csaji Algo Care Erik Weyer Marco C. Campi Department of Information Engineering University of Brescia Via Branze 38 25123 Brescia Italy Fraunhofer Project Center at the Institute for Computer Science and Control (SZTAKI) Hungarian Academy of Sciences (MTA) Kende utca 13-17 Budapest Hungary H-1111 Department of Electrical and Electronic Engineering Melbourne School of Engineering The University of Melbourne 240 Grattan Street Parkville Melbourne Victoria 3010 Australia

ISBN: (纸本)9781479978878

We propose a generalization of the recently developed system identification method called Sign-Perturbed Sums (SPS). The proposed construction is based on the instrumental variables estimate and, unlike the original SPS, it can construct non-asymptotic confidence regions for linear regression models where the regressors contain past values of the output. Hence, it is applicable to ARX systems, as well as systems with feedback. We show that this approach provides regions with exact confidence under weak assumptions, i.e., the true parameter is included in the regions with a (user-chosen) exact probability for any finite sample. The paper also proves the strong consistency of the method and proposes a computationally efficient generalization of the previously proposed ellipsoidal outer-approximation. Finally, the new method is demonstrated through numerical experiments, using both real-world and simulated data.

关键词： Instruments Approximation algorithms Electronic mail Signal processing algorithms Linear regression Signal processing Standards

来源：评论

学校读者我要写书评

暂无评论

FEATURE EXTRACTION WITH DEEP BELIEF NETWORKS FOR DRIVER'S COGNITIVE STATES PREDICTION FROM EEG DATA

FEATURE EXTRACTION WITH DEEP BELIEF NETWORKS FOR DRIVER'S CO...

引用

IEEE China Summit and International Conference on Signal and Information Processing

作者： Mehdi Hajinoroozi Tzyy-Ping Jung Chin-Teng Lin Yufei Huang Department of Electrical and Computer Engineering University of Texas at San Antonio Institute for Neural Computation University of California Brain Research Center National Chiao Tung University

ISBN: (纸本)9781479919499

This study considers the prediction of driver's cognitive states from electroencephalographic (EEG) data. Extracting EEG features correlated with driver's cognitive states is key for achieving accurate prediction. However, high dimensionality and temporal-and-spatial correlations of EEG data make extraction of effective features difficult. This study explores the approaches based on deep belief networks (DBN) for feature extraction and dimension reduction. Experimental results of this study showed that DBN applied to channel epochs (DBN-C) produces the most discriminant features and the best classification performance is achieved when DBN-C is applied to the time-frequency and independent-component-analysis transformed EEG data. The results suggested that DBN-C is a promising new method for extracting complex, discriminant features for EEG-based brain computer interfaces.

关键词： Deep belief network Feature extraction Classification

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：