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Stability Analysis for High Frequency Networked control systems

IEEE Transactions on Automatic control 2012年第10期57卷 2694-2700页

作者： Hongjiu Yang Yuanqing Xia Peng Shi Mengyin Fu Institute of Electrical Engineering Yanshan University Qinhuangdao China School of Automation Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institute of Technology Beijing China School of Engineering and Science Victoria University Melbourne VIC Australia Department of Computing and Mathematical Sciences University of Glamorgan Pontypridd UK

This note generalizes the stability analysis for a high frequency networked control system. The high-frequency networked control system is described by a delta operator system with a high frequency constraint. Stability conditions are given for the high frequency delta operator system. Furthermore, by developing the generalized Kalman-Yakubovic-Popov lemma, improved stability conditions are also presented in terms of linear matrix inequalities. Some experiment results are presented to illustrate the effectiveness of the developed techniques.

关键词： Stability analysis Delay Linear matrix inequalities Frequency control Educational institutions Power system stability Numerical stability

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New stability criteria for linear systems with time-varying interval delay

New stability criteria for linear systems with time-varying ...

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UKACC International Conference on control (control)

作者： Jian Sun Jie Chen G.P. Liu School of Automation Key Laboratory of Complex Systems Intelligent Control and Decision Ministry of Education Beijing Institute of Technology Beijing China CTGT Center Harbin Institute of Technology Harbin China Faculty of Advanced Technology University of Glamorgan Pontypridd UK

This paper is concerned with the problem of stability of systems with time-varying delay in a given interval. A novel Lyapunov-Krasovskii functional is proposed to obtain new stability conditions. Some triple integral terms are introduced in the Lyapunov-Krasovskii functional and the information on the lower bound on the delay are sufficiently used. New delay-dependent stability criteria are derived using integral inequalities and formulated in terms of linear matrix inequality (LMI). Comparing numerical examples show that the proposed criteria yield a larger upper bound on the delay for a given lower bound on the delay than existing results.

关键词： Delay Stability criteria Time varying systems Linear matrix inequalities Numerical stability Linear systems

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Aided Decision-Making System of Public Transport Management for Guangzhou Asian Games

Aided Decision-Making System of Public Transport Management ...

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World Congress on Intelligent control and Automation (WCICA)

作者： X.-S. Dong Gang Xiong Dong Fan F.-H. Zhu Sheng Liu State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781467313971

For spectators and public transport demand during the 16th Asian Games and the first Asian Para Games held in Guangzhou in 2010, Aided Decision-Making System of Public Transportation Management for Guangzhou Asian Games had been developed to support public transport management decision. It can help public transport managers to enhance the level of public transport management from experience-based formulation and manual implementation to scientific computation-based formulation and automatic implementation by intelligent systems, to guarantee the traffic demand effectively during the games, and to improve the management of public transportation significantly.

关键词： Games Transportation Automation Decision making Intelligent control Laboratories control systems

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Heterogeneity of organizing chance promotes cooperation in spatial public goods games

Heterogeneity of organizing chance promotes cooperation in s...

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第八届中国多智能体系统与控制会议(MASC'2012)

作者： Yongkui Liu Lin Zhang Xiaojie Chen Long Wang School of Automation Science and Electrical Engineering Beihang University - Beijing 100191China Sc School of Automation Science and Electrical Engineering Beihang University - Beijing 100191China Evolution and Ecology Program International Institute for Applied Systems Analysis(IIASA)- Schlosspl Center for Systems and Control State Key Laboratory for Turbulence and Complex SystemsCollege of En

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Consensus control of linear multi-agent systems with distributed adaptive protocols

Consensus control of linear multi-agent systems with distrib...

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American control Conference (ACC)

作者： Zhongkui Li Xiangdong Liu Wei Ren Lihua Xie Key laboratory for Intelligent Control & Decision of Complex Systems Beijing Institute of Technology Beijing P. R. China Department of Electrical Engineering University of California Riverside CA USA School of Electrical and Electronic Engineering Nanyang Technological University Singapore

ISBN: (纸本)9781457710957

This paper considers the distributed consensus problem of multi-agent systems with general continuous-time linear time-invariant dynamics. Based on the relative output information of neighboring agents, two distributed adaptive dynamic consensus protocols are proposed, namely, the edge-based adaptive protocol which assigns a time-varying coupling weight to each edge in the communication graph and the node-based adaptive protocol which uses a time-varying coupling weight for each node. These two adaptive protocols are designed to ensure that consensus is reached in a fully distributed fashion for any undirected connected communication graphs without using any global information. A sufficient condition for the existence of these adaptive protocols is that each agent is stabilizable and detectable. The case with switching communication graphs is also studied.

关键词： Protocols Eigenvalues and eigenfunctions Couplings Switches Linear matrix inequalities Laplace equations Lyapunov methods

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Adaptive control with Nearest-neighbor Previous Instant Compensation for Discrete-time Nonlinear Strict-feedback systems

Adaptive Control with Nearest-neighbor Previous Instant Comp...

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American control Conference

作者： Chenguang Yang Hongbin Ma Bin Xu Mengyin Fu School of Computing and Mathematics the University of Plymouth UK PL4 8AA Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institute of Technology Beijing China 100081 School of Automation Northwestern Polytechnical University Xi'an China 710072

ISBN: (纸本)9781457710957

Many nonlinear systems can be modeled by or converted to strict-feedback forms, whose stabilization problem without modeling uncertainties has been extensively discussed in the literature. However, in practice, inevitable modeling uncertainties, especially co-existence of parametric uncertainties and nonparametric uncertainties, will make it very difficult and challenging to achieve desirable control performance. In this background, we consider a challenging adaptive control problem, aiming at asymptotic tracking to any bounded reference signal, in the presence of periodic uncertainties of both parametric and nonparametric types, i.e., periodic time-varying parameters and periodic unknown time-delays in the uncertain nonlinearities, for a class of strict-feedback discrete-time nonlinear systems due to the lack of related research and the increasing demand of digital control in current epoch. To deal with the co-existing various uncertainties, which bring highly-nonlinear coupled effects to the closed-loop system, a novel nearest-neighbor previous instant compensation technique, combined with the lifting approach and the future states prediction, is introduced in this paper to asymptotically fully compensate the effects of uncertainties. With such elaborately constructed adaptive estimation mechanism, the developed discrete-time backstepping adaptive controller can guarantee the closed-loop stability as well as asymptotic output tracking, which have been rigorously established and testified by extensive simulations.

关键词： adaptive control Uncertainty asymptotic tracking discrete-time Nearest neighbor Reference signals Parametric instant control performance Numerical controls compensated

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Properties of Bottleneck on complex Networks

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Communications in Theoretical Physics 2011年第4期55卷 725-728页

作者：王朝阳吴建军高自友 MOE Key Laboraty for Urban Transportation Complex Systems Theory and Technology Beijing Jiaotong University State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University

The traffic bottleneck plays a key role in most of the natural and artificial network. Here we present a simply model for bottleneck dynamical characteristics consideration the reliability on the complex network by taking into account the network topology characteristics and system size. We find that there is a critical rate of flow generation below which the network traffic is free but above which traffic congestion occurs. Also, it is found that random networks have larger critical flow generating rate than scale free ones. Analytical results may be practically useful for designing networks, especially for the urban traffic network.

关键词： bottleneck complex network traffic flow

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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Preface

Lecture Notes in Computer Science (including subseries Lectu...

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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2012年 7366 LNAI卷 VI页

作者： Zhang, Huaguang Hussain, Amir Liu, Derong Wang, Zhanshan Northeastern University College of Information Science and Engineering Shenyang 110004 China University of Stirling Dept. of Computing Science and Mathematics Stirling FK9 4LA United Kingdom Institute of Automation Chinese Academy of Sciences State Key Laboratory of Managment and Control for Complex Systems Beijing 100190 China

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Fitting a Functional Structural Plant Model based on Global Sensitivity Analysis

Fitting a Functional Structural Plant Model based on Global ...

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IEEE International Conference on Automation Science and Engineering

作者： Yubin LIN Mengzhen KANG Jing HUA National Key Laboratory of Pattern Recognition Institute of Automation Chinese Academy of Sciences State Key Laboratory of Management and Control for Complex Systems Beijing Engineering Research Center of Intelligent Systems and Technology Institute of Automation Chinese Academy of Sciences

ISBN: (纸本)9781467304290

Calibration of a functional structural plant model is a challenging task because of the complexity of model structure. Parameter estimation through gradient-based optimization technique was highly dependent on initial parameter values. This motivated the use of global sensitivity analysis technique to choose parameter subset in fitting the data sequence. Global sensitivity indices were computed using the source sink ratio as the output of interest, which regulates all organ growth. By fitting on chrysanthemum data from nine sampling dates, it is shown that sensitivity analysts method helps to identify the influential parameters for a given sampling date. As a result, fitting process is less dependent on the initial parameter values. Current work provides a new method of calibrating a plant growth model with multiple outputs.

关键词： Sensitivity analysis plant models organ growth MACHINE SHOP PRACTICE

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Editorial-neural networks and learning systems come together

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IEEE Transactions on Neural Networks and Learning systems 2012年第1期23卷 1-6页

作者： Baesens, Bart Bouboulis, Pantelis Cruces, Sergio Domeniconi, Carlotta Ikeda, Shiro Li, Xuelong Melin, Patricia Rao, V. Sree Hari Schuller, Björn W. Shen, Yi Tang, Huajin Wang, Cong Yang, Jian Zhao, Dongbin Liu, Derong Catholic University of Leuven Belgium University of Athens Greece University of Seville Spain George Mason University United States Institute of Statistical Mathematics Japan University of London United Kingdom Tijuana Institute of Technology Mexico Jawaharlal Nehru Technological University India Technische Universität München Germany Huazhong University of Science and Technology China Institute for Infocomm Research Singapore Singapore South China University of Technology China Nanjing University of Science and Technology China Chinese Academy of Sciences China State Key Laboratory of Management Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China Department of Electrical Computer Engineering University of Illinois Chicago IL 60607 United States

This issue marks the beginning of the IEEE Transactions on Neural Networks and Learning systems (TNNLS). By adding «Learning systems» to the title, we now state explicitly the scope of the TRANSACTIONS to include neural networks as well as related learning systems. This issue marks a new era in the history of our TRANSACTIONS. The TRANSACTIONS is now ready to face the challenges of the next 10-20 years. With the evolution of the fields of neural networks in particular and computational intelligence in general, the IEEE Transactions on Neural Networks and Learning systems will continue to grow and to succeed in this ever-changing world. Also included are a few comments about the review process of TNN manuscripts and the introduction of 14 new TNNLS Associate Editors. © 2012 IEEE.

关键词： Learning systems

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