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2010 8th IEEE International Conference on control and Automation, ICCA 2010

作者： Dong, Hongli Wang, Zidong Ho, Daniel W.C. Gao, Huijun College of Electrical and Information Engineering Daqing Petroleum Institute Daqing 163318 China Space Control and Inertial Technology Research Center Harbin Institute of Technology Harbin 150001 China Department of Information Systems and Computing Brunel University Uxbridge Middlesex UB8 3PH United Kingdom Department of Mathematics University of Hong Kong 83 Tat Chee Avenue Kowloon Hong Kong

ISBN: (纸本)9781424451951

In this paper, the robust finite-horizon filtering problem is investigated for a class of uncertain nonlinear discrete time-varying stochastic systems with multiple missing measurements and error variance constraints. The stochastic nonlinearities are described by statistical means which can cover several classes of well-studied nonlinearities. The measurement missing phenomenon is also considered. Sufficient conditions are derived for a finite-horizon filter to satisfy the estimation error variance constraints. These conditions are expressed in terms of the feasibility of a series of recursive linear matrix inequalities (RLMIs). An illustrative simulation example is given to show the the effectiveness of the proposed algorithm. © 2010 IEEE.

关键词： Stochastic systems

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Robust stability of genetic regulatory networks with interval time-varying delays under intrinsic and extrinsic noises

Robust stability of genetic regulatory networks with interva...

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作者： Pan, Wei Wang, Zidong Hu, Jun Gao, Huijun Department of Electronic Science and Technology University of Science and Technology of China Hefei 230027 China Department of Information Systems and Computing Brunel University Uxbridge Middlesex UB8 3PH United Kingdom Space Control and Inertial Technology Research Center Harbin Institute of Technology Harbin 150001 China

ISBN: (纸本)9787894631046

Gene regulation is inherently a stochastic process due to intrinsic and extrinsic noises which cause the fluctuations and uncertainties of kinetic parameters. On the other hand, time delays are usually inevitable due to different biochemical reactions in the genetic regulatory networks (GRNs) which are also affected by noises. Therefore, in this paper, we propose a GRN model that is subject to additive and multiplicative noises as well as time-varying delays. The time-varying delay is assumed to belong to an interval and no restriction on the derivative of the time-varying delay is needed, which allows the delay to be a fast time-varying function. Robust stochastic stability of such GRNs with disturbance attenuation is analyzed by applying the control theory and mathematical tools. Based on the Lyapunov method, new stability conditions are derived in the form of linear matrix inequalities (LMIs) that are dependent on the upper and lower bounds of time delays. An example is employed to illustrate the applicability and usefulness of the developed theoretical results.

关键词： Time delay

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Robust ${\cal H}_{\infty}$ Finite-Horizon control for a Class of Stochastic Nonlinear Time-Varying systems Subject to Sensor and Actuator Saturations

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IEEE Transactions on Automatic control 2010年第7期55卷 1716-1722页

作者： Zidong Wang Daniel W. C. Ho Hongli Dong Huijun Gao School of Information Science and Technology Donghua Uinversity Shanghai China Department of Information Systems and Computing Brunei University Uxbridge Middlesex UK Department of Mathematics City University of Hong Kong Hong Kong China Space Control and Inertial Technology Research Center Harbin Institute of Technology Harbin China

This technical note addresses the robust H ∞ finite-horizon output feedback control problem for a class of uncertain discrete stochastic nonlinear time-varying systems with both sensor and actuator saturations. In the system under investigation, all the system parameters are allowed to be time-varying, the parameter uncertainties are assumed to be of the polytopic type, and the stochastic nonlinearities are described by statistical means which can cover several classes of well-studied nonlinearities. The purpose of the problem addressed is to design an output feedback controller, over a given finite-horizon, such that the H ∞ disturbance attenuation level is guaranteed for the nonlinear stochastic polytopic system in the presence of saturated sensor and actuator outputs. Sufficient conditions are first established for the robust H ∞ performance through intensive stochastic analysis, and then a recursive linear matrix inequality (RLMI) approach is employed to design the desired output feedback controller achieving the prescribed H ∞ disturbance rejection level. Simulation results demonstrate the effectiveness of the developed controller design scheme.

关键词： Robustness Output feedback Stochastic systems Robust control Nonlinear control systems control systems Time varying systems Sensor systems Actuators Uncertain systems

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Guest Editorial: Dynamics analysis of gene regulatory networks

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International Journal of systems Science 2010年第1期41卷 1-4页

作者： Wang, Zidong Gao, Huijun School of Information Sciences and Technology Donghua University Shanghai 200051 China Department of Information Systems and Computing Brunel University Uxbridge Middlesex UB8 3PH United Kingdom Space Control and Inertial Technology Research Center Harbin Institute of Technology Harbin 150001 China

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Robust finite-horizon filtering of time-varying networked systems with error variance constraints

Robust finite-horizon filtering of time-varying networked sy...

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International Conference on control and Automation (ICCA)

作者： Hongli Dong Zidong Wang Daniel W. C. Ho Huijun Gao College of Electrical and Information Engineering Daqing Petroleum Institute Daqing China Space Control and Inertial Technology Research Center Harbin Institute of Technology Harbin China Department of Information Systems and Computing Brunei University Uxbridge Middlesex UK Department of Mathematics City University of Hong Kong Hong Kong China

ISBN: (纸本)9781424451951

关键词： Robustness Filtering Time varying systems Stochastic systems Space technology Linear matrix inequalities Robust control Error correction Stochastic processes Filters

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Robust stability of genetic regulatory networks with interval time-varying delays under intrinsic and extrinsic noises

Robust stability of genetic regulatory networks with interva...

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Chinese control Conference (CCC)

作者： Wei Pan Zidong Wang Jun Hu Huijun Gao Department of Electronic Science and Technology University of Science and Technology of China Hefei 230027 China Department of Information Systems and Computing Brunel University Uxbridge Middlesex UB8 3PH United Kingdom Space Control and Inertial Technology Research Center Harbin Institute of Technology 150001 China

关键词： Noise Delay Mathematical model Stochastic processes Biological system modeling Uncertainty Gene expression

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Preface EIS -10

Proceedings of the International Symposium on Evolving Intel...

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Proceedings of the International Symposium on Evolving Intelligent systems - A Symposium at the AISB 2010 Convention 2010年

作者： Angelov, Plamen Filev, Dimitar Kasabov, Nikola Communication Systems Dept Intelligent Systems Research Lab Lancaster University Lancaster LA1 4WA United Kingdom Department of Intelligent Control and Info Systems Ford Research and Advanced Eng 2101 Village Road MD #1437 Dearborn MI 48121 United States School of Computing and Information Sciences KEDRI Auckland University of Technology 581 Great South Rd 1020 Auckland New Zealand

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Measures for ETL processes models in data warehouses

Measures for ETL processes models in data warehouses

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1st International Workshop on Model Driven Service Engineering and Data Quality and Security, MoSE+DQS 2009, Co-located with the 18th ACM International Conference on information and Knowledge Management, CIKM 2009

作者： Muñoz, Lilia Mazón, Jose-Norberto Trujillo, Juan Lucentia Research Group Department of Information Systems Control Evaluation and Computing Resource Technological University of Panama Panama Lucentia Research Group Department of Software and Computing Systems University of Alicante Spain

ISBN: (纸本)9781605588162

In data warehousing, ETL (Extract, Transform, and Load) processes take charge of extracting the data from data sources that would be contained in the data warehouse. Due to their relevance, the quality of these processes should be formally assessed since the early stages of development, in order to avoid making bad decisions as a result of incorrect data. In this paper, a set of measures to evaluate the structural complexity of ETL process models at conceptual level is presented. Moreover, this study is accompanied by four experiments whose aim is the empirical validation of the proposed measures. The main advantage of this approach is the early evaluation of ETL process models. This early evaluation support designers in their maintenance tasks. This proposal is based on UML (Unifield Modeling Language) activity diagrams for modeling ETL processes and the adoption of the FMESP (Framework for the Modeling and Evaluation of Software Processes) framework. Copyright 2009 ACM.

关键词： Data warehouses

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Automatic generation of ETL processes from conceptual models

Automatic generation of ETL processes from conceptual models

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12th ACM International Workshop on Data Warehousing and OLAP, DOLAP'09, Co-located with the 18th ACM International Conference on information and Knowledge Management, CIKM 2009

作者： Mũoz, Lilia Mazón, Jose-Norberto Trujillo, Juan Lucentia Research Group Department of Information Systems Control Evaluation and Computing Resource Technological University of Panama Panama Lucentia Research Group Department of Software and Computing Systems University of Alicante Spain

ISBN: (纸本)9781605588018

Data warehouses (DW) integrate different data sources in order to give a multidimensional view of them to the decision-maker. To this aim, the ETL (Extraction, Transformation and Load) processes are responsible for extracting data from heterogeneous operational data sources, their transformation (conversion, cleaning, standardization, etc.), and its load in the DW. In recent years, several conceptual modeling approaches have been proposed for designing ETL processes. Although these approaches are very useful for documenting ETL processes and supporting the designer tasks, these proposals fail to give mechanisms to carry out an automatic code generation stage. Such a stage should be required to both avoid fails and save development time in the implementation of complex ETL process. Therefore, in this paper we define an approach for the automatic code generation of ETL processes. To this aim, we align the modeling of ETL processes in DW with MDA (Model Driven Architecture) by formally defining a set of QVT (Query, View, Transformation) transformations. Copyright 2009 ACM.

关键词： Data warehouses

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$H_{\bm \infty}$ Fuzzy control for systems With Repeated Scalar Nonlinearities and Random Packet Losses

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IEEE Transactions on Fuzzy systems 2009年第2期17卷 440-450页

作者： Hongli Dong Zidong Wang Huijun Gao College of Electrical and Information Engineering Daqing Petroleum Institute Daqing China Space Control and Inertial Technology Research Center Harbin Institute of Technology Harbin China Department of Information Systems and Computing Brunei University Uxbridge Middlesex UK

This paper is concerned with the H infin fuzzy control problem for a class of systems with repeated scalar nonlinearities and random packet losses. A modified Takagi-Sugeno (T-S) fuzzy model is proposed in which the consequent parts are composed of a set of discrete-time state equations containing a repeated scalar nonlinearity. Such a model can describe some well-known nonlinear systems such as recurrent neural networks. The measurement transmission between the plant and controller is assumed to be imperfect and a stochastic variable satisfying the Bernoulli random binary distribution is utilized to represent the phenomenon of random packet losses. Attention is focused on the analysis and design of H infin fuzzy controllers with the same repeated scalar nonlinearities such that the closed-loop T-S fuzzy control system is stochastically stable and preserves a guaranteed H infin performance. Sufficient conditions are obtained for the existence of admissible controllers, and the cone complementarity linearization procedure is employed to cast the controller design problem into a sequential minimization one subject to linear matrix inequalities, which can be readily solved by using standard numerical software. Two examples are given to illustrate the effectiveness of the proposed design method.

关键词： Fuzzy control Takagi-Sugeno model Fuzzy sets Nonlinear equations Nonlinear systems Recurrent neural networks Loss measurement Stochastic processes Propagation losses Performance analysis

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