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Simulation Winter Conference

作者： N.M. Steiger E.K. Lada J.R. Wilson C. Alexopoulos D. Goldsman F. Zouaoui Maine Business School University of Maine Orono ME USA School of Industrial & Systems Engineering Georgia Institute of Technology Atlanta GA USA Graduate Program in Operations Research Department of Industrial Engineering North Carolina State University Raleigh NC USA Research Group Sabre Inc. Southlake TX USA

We introduce ASAP2, an improved variant of the batch-means algorithm ASAP for steady-state simulation output analysis. ASAP2 operates as follows: the batch size is progressively increased until the batch means pass the Shapiro-Wilk test for multivariate normality; and then ASAP2 delivers a correlation-adjusted confidence interval. The latter adjustment is based on an inverted Cornish-Fisher expansion for the classical batch means t-ratio, where the terms of the expansion are estimated via a first-order autoregressive time series model of the batch means. ASAP2 is a sequential procedure designed to deliver a confidence interval that satisfies a prespecified absolute or relative precision requirement. When used in this way, ASAP2 compares favorably to ASAP and the well-known procedures ABATCH and LBATCH with respect to close conformance to the precision requirement as well as coverage probability and mean and variance of the half-length of the final confidence interval.

关键词： Analytical models Modeling Steady-state Operations research Industrial engineering systems engineering and theory Algorithm design and analysis Testing Liver Discrete event simulation

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Fuzzy c-means and mixture distribution model for clustering based on L1-space 15th

Fuzzy c-means and mixture distribution model for clustering ...

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15th International Workshop on Japanese Society for Artificial Intelligence, JSAI 2001

作者： Koga, Takatsugu Miyamoto, Sadaaki Takata, Osamu Graduate School of Systems and Information Engineering University of Tsukuba Ibaraki305-8573 Japan Institute of Engineering Mechanics and Systems University of Tsukuba Japan Doctoral Program in Engineering University of Tsukuba Japan

ISBN: (纸本)9783540455486

This paper aims at proposing and comparing two fuzzy models and a statistical model for clustering based on L1-space. Clustering methods in the fuzzy models are the standard fuzzy c-means and an entropy regularization method based on L1-space. Furthermore, we add new variables to them for improving the cluster division. In the statistical model, a mixture distribution model based on L1-space is proposed and the EM algorithm is applied. © Springer-Verlag Berlin Heidelberg 2001.

关键词： Mixtures

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Stress Relaxation Behavior of Angle-Ply CFRP Laminate at Elevated Temperature

Stress Relaxation Behavior of Angle-Ply CFRP Laminate at Ele...

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第十三届国际复合材料会议

作者： M.Kawai Y.Masuko T.Kazama Institute of Engineering Mechanics and Systems University of Tsukuba Tsukuba 305-8573 JAPAN Graduate School of Systems and Information Engineering University of Tsukuba Master's Program in Science and Engineering University of Tsukuba

Introduction Polymers exhibit larger elongation and more significant rate- and time-dependent behavior at higher temperature [1]. To understand properties of polymer matrix composites and to correctly evaluate their performance characteristics, therefore, it is one of the most important issues to elucidate the time- and rate-dependent nonlinear behavior of polymer matrix composites at elevated temperature. The objective of the present study is to elucidate characteristics of the short-term stress relaxation behavior of angle-ply CFRP laminates at high temperature. The stress relaxation curves for various angle-ply laminates are presented. By the normalization with respect to the maximum stress at the beginning of each relaxation test, we obtain a master relaxation curve that is characterized by the off-axis time-dependent response of constituent unidirectional plies.

关键词： stress relaxation, angle-ply laminate, high-temperature, carbon fiber, epoxy

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Robust /spl Hscr//sub /spl infin// filtering for uncertain discrete-time state-delayed systems

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IEEE Transactions on Signal Processing 2001年第8期49卷 1696-1703页

作者： R.M. Palhares C.E. de Souza P.L. Dias Peres Graduate Program in Electrical Engineering Pontifical Catholic University of Minas Gerais Belo Horizonte Brazil Department of Systems and Control Brazil School of Electrical and Computer Engineering State University of Campinas-UNICAMP Campinas Brazil

This paper addresses the problem of robust /spl Hscr//sub /spl infin// filtering for linear discrete-time systems subject to parameter uncertainties in the system state-space model and with multiple time delays in the state variables. The uncertain parameters are supposed to belong to a given convex bounded polyhedral domain. A methodology is developed to design a stable linear filter that assures asymptotic stability and a prescribed /spl Hscr//sub /spl infin// performance for the filtering error, irrespective of the uncertainty and the time delays. The proposed design is given in terms of linear matrix inequalities, which has the advantage in that it can be implemented numerically very efficiently.

关键词： Filtering Nonlinear filters Delay effects Uncertainty Noise robustness Uncertain systems Linear matrix inequalities Signal design Riccati equations Context modeling

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Fuzzy Bayes predictor in electric load forecasting

Fuzzy Bayes predictor in electric load forecasting

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International Joint Conference on Neural Networks (IJCNN)

作者： M.A. Teixeira G. Zaverucha V.N.A.L. da Silva G.F. Ribeiro Systems Engineering and Computer Science Program Graduate Programs in Engineering COPPE Federal University of Rio de Janeiro Brazil Electric Power Research Center CEPEL CEPEL Brazil

ISBN: (纸本)0780370449

We present the fuzzy Bayes predictor (FBP), a hybrid system for the task of monthly electric load forecasting. The FBP is a modification we introduce in the naive Bayes classifier in order to enable it to predict numerical values. We consider three versions of the FBP, each one with a different dependence among the input data: independence, first-order and second-order dependence. For verifying the efficiency of the FBP's prediction, we compare it with two fuzzy systems and two traditional forecasting methods, Box-Jenkins and Winters exponential smoothing.

关键词： Load forecasting Fuzzy systems Power engineering and energy Smoothing methods Testing Niobium compounds systems engineering and theory Computer science Predictive models Electric variables measurement

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Optimizing fuel consumption on gas transmission networks: evaluation of a heuristic for cyclic systems

Optimizing fuel consumption on gas transmission networks: ev...

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IEEE International Conference on systems, Man and Cybernetics

作者： R.Z. Rios-Mercado Seongbae Kim E.A. Boyd Graduate Program in Systems Engineering Universidad Autónoma de Nuevo León San Nicolas de Los Garza Nuevo Leon Mexico

In this paper we present our computational experience with a heuristic for the problem of minimizing fuel cost on steady-state gas transmission problems on cyclic networks. The procedure is based on a two-stage iterative procedure, where, in a given iteration, gas flow variables are fixed and optimal pressure variables are found via dynamic programming in the first stage. In the second stage, the pressure variables are fixed and an attempt is made to find a set of flow variables that improve the objective function by exploiting the underlying network structure. This work focuses on cyclic network topologies, that is, networks with at least one cycle containing two or more compressor stations. This kind of topologies posses the highest degree of difficulty in real-world problems.

关键词： Fuels Costs Network topology Dynamic programming Fluid flow systems engineering and theory Computer network management engineering management Computer networks Steady-state

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Robust H/spl infin/ filter design for uncertain linear systems with multiple time-varying state delays

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IEEE Transactions on Signal Processing 2001年第3期49卷 569-576页

作者： C.E. de Souza R. Martinez Palhares P.L. Dias Peres Department of Systems and Control Laboratorio Nacional de Computacao Cientifica Petropolis Brazil Graduate Program in Electrical Engineering Pontifical Catholic University of Minas Gerais Belo Horizonte Brazil School of Electrical and Computer Engineering State University of Campinas-UNICAMP Campinas Brazil

The problem of robust H/spl infin/ filtering for continuous-time uncertain linear systems with multiple time-varying delays in the state variables is investigated. The uncertain parameters are supposed to belong to a given convex bounded polyhedral domain. The aim is to design a stable linear filter assuring asymptotic stability and a prescribed H/spl infin/ performance level for the filtering error system, irrespective of the uncertainties and the time delays. Sufficient conditions for the existence of such a filter are established in terms of linear matrix inequalities, which can be efficiently solved by means of powerful convex programming tools with global convergence assured. An example illustrates the proposed methodology.

关键词： Robustness Nonlinear filters Linear systems Filtering Time varying systems Asymptotic stability Uncertainty Delay effects Sufficient conditions Linear matrix inequalities

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Robust H∞ control for uncertain state-delayed linear systems with Markovian jumping parameters 6

Robust H∞ control for uncertain state-delayed linear system...

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6th European Control Conference, ECC 2001

作者： Palhares, R.M. De Souza, C.E. Peres, P.L.D. Graduate Program in Electrical Engineering Pontifical Catholic University of Minas Gerais Av. Dom José Gaspar 500 Prédio 4 Belo Horizonte MG30535-610 Brazil Department of Systems and Control Laboratório Nacional de Computação Científica - LNCC Av. Getúlio Vargas 333 Petrópolis RJ25651-070 Brazil School of Electrical and Computer Engineering University of Campinas CP 6101 Campinas SP13081-970 Brazil

ISBN: (纸本)9783952417362

The problem of robust H∞ state-feedback control design for a class of continuous-time linear systems with Markovian jumping parameters and multiple time-varying delays at the states, and subject to uncertain parameters is addressed in this paper. It is assumed that the jumping parameters are available and the uncertain parameter belong to given convex bounded domains (polytope type uncertainty). A delay-independent sufficient condition assuring robust mean square stability and a prescribed level of H∞ disturbance attenuation for the closed-loop system is established in terms of linear matrix inequalities. © 2001 EUCA.

关键词： Linear matrix inequalities

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Robust H∞ control for uncertain state-delayed linear systems with Markovian jumping parameters

Robust H∞ control for uncertain state-delayed linear system...

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European Control Conference (ECC)

作者： R. M. Palhares C. E. de Souza P. L. D. Peres Graduate Program in Electrical Engineering Pontifical Catholic University of Minas Gerais Belo Horizonte MG Brazil Department of Systems and Control Laboratorio Nacional de Computacao Cientifica - LNCC Petropolis RJ Brazil Universidade Estadual de Campinas Campinas SP BR

The problem of robust H ∞ state-feedback control design for a class of continuous-time linear systems with Markovian jumping parameters and multiple time-varying delays at the states, and subject to uncertain parameters is addressed in this paper. It is assumed that the jumping parameters are available and the uncertain parameter belong to given convex bounded domains (polytope type uncertainty). A delay-independent sufficient condition assuring robust mean square stability and a prescribed level of H ∞ disturbance attenuation for the closed-loop system is established in terms of linear matrix inequalities.

关键词： Closed loop systems Robustness Uncertainty Attenuation Linear systems Symmetric matrices

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Robust H ∞ control for uncertain discrete-time state-delayed linear systems with markovian jumping parameters 1

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IFAC Proceedings Volumes 2001年第23期34卷 89-94页

作者： Reinaldo M. Palhares Carlos E. de Souza Pedro L.D. Peres Graduate Program in Electrical EngineeringPontifical Catholic University ofMinas Gerais Av. D. José Gaspar 500 30535-610 Belo Horizonte MG Brazil Department of Systems and Control Laboratório Nacional de Computação Científica - LNCCAv. Getúlio Vargas 333 25651-070 Petrópolis RJ Brazil School of Electrical and Computer Engineering University of Campinas CP 6101 13081-970 Campinas Sp Brazil

This paper addresses the problem of robust H ∞ state-feedback control design for uncertain discrete-time linear systems with multiple time delays at the states and Markovian jumping parameters. The jumping parameters are assumed to be available and the uncertainties are supposed to belong to convex bounded domains (polytope type uncertainty). Delay-independent sufficient conditions assuring robust stochastic stability and a prescribed H ∞ disturbance attenuation for the closed-loop uncertain discrete-time linear system with multiple time delays and Markovian jumping parameters are established in terms of linear matrix inequalities, which have the advantage that can be implemented numerically veryefficiently.

关键词： Robust H ∞ control time delay systems Markovian jumping parameters linear matrix inequalities discrete-time systems

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