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Decentralized control for Arbitrarily Interconnected systems over Lossy Network

Acta Automatica Sinica 2010年第9期36卷 1321-1327页

作者： Hui LI Qing-He WU Li SONG School of Automation Beijing Institute of Technology Beijing 100081 P.R. China Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education Beijing 100081 P.R. China

Abstract This paper deals with the control of arbitrarily topological interconnected systems where information communicated between subsystems may be lost due to unreliable links. First, the stochastic variable that is responsible for the communication status of lossy network is regarded as a source of model uncertainty. The system is modeled in the framework of linear fractional transformation with a deterministic nominal system and a stochastic model uncertainty. Then, the robust control theory is employed for system analysis. The largest probability of communication failure, tolerated by the interconnected systems keeping mean square stable, can be obtained by solving a μ synthesis optimization problem. Decentralized state feedback controllers are designed to ensure that the whole system is mean square stable for a given communication failure rate, based on the technique of linear matrix inequalities. An illustrative example is presented finally to verify the effectiveness of the proposed model and method.

关键词： Interconnected systems communication failure decentralized control μ synthesis linear matrix inequality

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Minimum entropy filtering for networked control systems via information theoretic learning approach

Minimum entropy filtering for networked control systems via ...

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作者： Zhang, Jianhua Cai, Lei Wang, Hong Beijing Key Laboratory of Industrial Process Measurement and Control New Technology and System North China Electric Power University Beijing 102206 China North China Electric Power University Beijing 102206 China University of Manchester Manchester M60 1 QD United Kingdom

ISBN: (纸本)9780955529337

In this paper, a mmlmum entropy filter is presented for estimating states in networked control systems with multiple-packet transmission mechanism and non-Gaussian time-delay and noises. The filter is designed for nonlinear NeSs via information theoretic learning approach based on stochastic gradient algorithm. A numerical example is given to illustrate the effectiveness of the proposed scheme.

关键词： Networked control systems

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Distributed simulation system hierarchical design model based on quotient space granular computation

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Zidonghua Xuebao/Acta Automatica Sinica 2010年第7期36卷 923-930页

作者： Chen, Jie Wu, Di Zhang, Juan Department of Automation Beijing Institute of Technology Beijing 100081 China Education Ministry Key Laboratory of Complex System Intelligent Control and Decision Beijing Institute of Technology Beijing 100081 China VALORIA Laboratory Department of Computer Science and Technology University of South Brittany Vannes Cedex 56017 France

To answer the problem of ambiguous design levels for large-scale distributed simulation systems, this paper proposes a hierarchical system model based on the quotient space theory. This model consists of a system global design level, an architecture level, and a execution structure level to solve the problem of diverse levels on system design. Furthermore, we deeply analyze the relationship between the granules of different levels in both horizontal and vertical directions, and integratedly consider simulation tasks, resources and services. Finally, the model is verified based on a real simulation system design example, and the results illustrate that the flexibility and reusability of the system can be improved with the application of the hierarchical design model. Copyright © 2010 Acta Automatica Sinica. All rights reserved.

关键词： systems analysis

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Network-based reliable H_∞ filter designing for the systems with sensor failures

Network-based reliable H<sub>∞</sub> filter designing for t...

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2010 International Conference on Modelling, Identification and control, ICMIC 2010

作者： Lilong, Du Zhou, Gu Jinliang, Liu Beijing Key Laboratory of Industrial Process Measurement and Control New Technology and System North China Electric Power University Beijing China School of Power Engineering Nanjing Normal University Nanjing Jiangsu China College of Information Science and Technology Donghua University Shanghai China

This paper is concerned with the reliable filtering problem for network-based linear continuous-time system with sensor failures, The purpose of the addressed filtering problem is to design a filter such that the error dynamics of the filtering process is stable. By using the linear matrix inequality (LMI) method, sufficient conditions are established that ensure the filter parameters are characterized by the solution to a set of LMIs. Simulation results are provided to illustrate effectiveness of the proposed method.

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Robust Exponential Admissibility of Uncertain Switched Singular Time-delay systems

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Acta Automatica Sinica 2010年第12期36卷 1773-1779页

作者： Jin-Xing LIN Shu-Min FEI Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Southeast University Nanjing 210096 P. R. China College of Automation Nanjing University of Posts and Telecommunications Nanjing 210003 P. R. China

This paper investigates the problem of robust exponential admissibility for a class of continuous-time uncertain switched singular systems with interval time-varying delay. By defining a properly constructed decay-rate-dependent Lyapunov function and the average dwell time approach, a delay-range-dependent sufficient condition is derived for the nominal system to be regular, impulse free, and exponentially stable. This condition is also extended to uncertain case. The obtained results provide a solution to one of the basic problems in continuous-time switched singular time-delay systems, that is, to identify a switching signal for which the switched singular time-delay system is regular, impulse free, and exponentially stable. Numerical examples are given to demonstrate the effectiveness of the obtained results.

关键词： Switched singular system time-varying delay exponential stability average dwell time

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Delayed-state-feedback Exponential Stabilization of Stochastic Markovian Jump systems with Mode-dependent Time-varying State Delays

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Acta Automatica Sinica 2010年第11期36卷 1601-1610页

作者： Li MA Fei-Peng DA Ling-Yao WU Key Laboratory of Measurement and Control for Complex Systems of Engineering Ministry of Education Research Institute of Automation Southeast University Nanjing 210096 P.R. China College of Electronic and Information Engineering Jiangsu University Zhenjiang 212013 P.R. China

Abstract In this paper, an improved mean-square exponential stability condition and delayed-state-feedback controller for stochastic Markovian jump systems with mode-dependent time-varying state delays are obtained. First, by constructing a modified Lyapunov-Krasovskii functional, a mean-square exponential stability condition for the above systems is presented in terms of linear matrix inequalities (LMIs). Here, the decay rate can be a finite positive constant in a range and the derivative of time-varying delays is only required to have an upper bound which is not required to be less than 1. Then, based on the proposed stability condition, a delayed-state-feedback controller is designed. Finally, numerical examples are presented to illustrate the effectiveness of the theoretical results.

关键词： Stochastic systems time-varying delay exponential stability Markov chain

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A Fast Averaging Synchronization Algorithm for Clock Oscillators in Nonlinear Dynamical Network with Arbitrary Time-delays

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Acta Automatica Sinica 2010年第6期36卷 873-880页

作者： Jie CHEN Miao YU Li-Hua DOU Ming-Gang GAN School of Automation Beijing Institute of Technology Beijing 100081 P.R.China Key Laboratory of Complex System Intelligent Control and Decision of the Ministry of Education Beijing Institute of Technology Beijing 100081 P. R. China

This paper investigates the synchronization problem of clock oscillators in nonlinear dynamical network with arbitrary time-delays. First, a dynamic synchronization algorithm based on consensus control strategy, named fast averaging synchronization algorithm (FASA), is presented to find a solution to the synchronization problem. This algorithm can compensate the clock skew and offset differences between clock nodes, achieving the synchronization of clock nodes in a shorter time as compared to previous synchronization methods. Second, because of the dynamical performance of FASA, it is characterized from the perspective of compartmental dynamical system with arbitrary time-delays. In this case, the algorithm guarantees the states of all clock nodes in dynamical network converge to Lyapunov stable equilibria. Finally, numerical simulations and experimental results demonstrate the correctness and efficiency of the FASA, which means that the clock nodes can reach global consensus, and the synchronization error can reach nanosecond order of magnitude.

关键词： Clock synchronization dynamical network arbitrary time-delays consensus algorithm

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Learning GMM Using Elliptically Contoured Distributions

Learning GMM Using Elliptically Contoured Distributions

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International Conference on Pattern Recognition

作者： Bo Li Wenju Liu Lihua Dou Key Laboratory of Complex System Intelligent Control and Decision Beijing Institute of Technology China National Laboratory of Pattern Recognition Institute of Automation Chinese Academy and Sciences China Beijing Institute of Technology Beijing Beijing CN

Model order selection and parameter estimation for Gaussian mixture model (GMM) are important issues for clustering analysis and density estimation. Most methods for model selection usually add a penalty term in the objective function that can penalize the models and choose an optimal one from a set of candidate models. This paper presents a simple and novel approach to determine the number of components and simultaneously estimate the parameters for GMM. By introducing the degenerating model, the proposed approach overcomes the drawback of likelihood estimate that is a non-decreasing function and can not be used to select the number of components. The degenerating model is a more general form of mixture component density and it can degenerate into the component density or a crater-like density when its parameter K varies from 1 to a bigger value. The likelihood of the crater-like density evaluated for the training data approximates to zero. This characteristic of the degenerating model forms the foundation of the proposed approach. The experimental results show robust and evident performance improvement of the approach.

关键词： Hidden Markov models Training Programming Gaussian distribution Density functional theory Computational modeling Estimation

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control of Spatially Interconnected systems with Random Communication Losses

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Acta Automatica Sinica 2010年第2期36卷 258-266页

作者： Hui LI Qing-He WU Huang HUANG School of Automation Beijing Institute of Technology Beijing 100081 P. R. China Key Laboratory of Complex System Intelligent Control and Decision (Beijing Institute of Technology) Ministry of Education Beijing 100081 P. R. China

This paper deals with analysis and synthesis problems of spatially interconnected systems where communicated information may get lost between subsystems. Spatial shift operator and temporal forward shift operator are introduced to model the interconnected systems as discrete time-space multidimensional linear systems with Markovian jumping parameters which reflect the state of communication channels. To ensure the whole system s well-posedness and mean square stability for a given packet loss rate, a condition is derived through analysis. Then a procedure of designing distributed dynamic output feedback controllers is proposed. The controllers have the same structure as the plants and are solved within the linear matrix inequality (LMI) framework. Finally, we apply these results to study the effect of communication losses on the multiple vehicle platoon control system, which further illustrates the effectiveness of the proposed model and method.

关键词： Spatially interconnected system communication loss Markovian jump linear system linear matrix inequality (LMI)

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Internal model control for hysteretic nonlinear systems based on support vector regression

Internal model control for hysteretic nonlinear systems base...

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World Congress on Intelligent control and Automation (WCICA)

作者： Wenguang Zhang Jianqin Mao Yanhua Ma Beijing Key Laboratory of Measurement and Control Technology and System for Industrial Process Control & Computer Engineering School North China Electric Power University Beijing China School of Automation Science and Electrical Engineering Beijing Aeronautics and Astronautics University Beijing China

Aim at the hysteretic nonlinearity characteristic of the giant magnetostrictive actuator in control, an internal model control method based on support vector regression is presented in this paper. Its models are built by support vector regression using the input and output data of the actuator and the internal model control is achieved. The simulation results show the method in this paper has better control precision.

关键词： Support vector machines Actuators Automation Data models Computational modeling Hysteresis Magnetostriction

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