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Frontiers in Education (FIE) Conference

作者： C.A.P.S. Martins C.V. Pousa M.B. Carvalho D.O. Penha Carlos Augusto Paiva da Silva Manins Computer Science Depamnent and Graduate Program in Electrical Engineering (PPGEE) Computational and Digital Systems Laboratory (LSDC) Pontifical Catholic University of Minas Gerais Belo Horizonte Minas Gerais Brazil Computer Science Depament LSDC PUCMi nas Christiane Vilaga Pousa Belo Horizonte Minas Gerais Brazil Milene Barbora Carvalha PUC-Minas PF'GEE LSDC Belo Horizonte Minas Gerais Brazil

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Human systems integration and advanced technology in engineering department workload and manpower reduction

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NAVAL ENGINEERS JOURNAL 2003年第1期115卷 57-65页

作者： Lively, KA Seman, AJ Kirkpatrick, M KENNETH A. LIVELY graduated from the University of Colorado with a BS in applied mathematics and an MS in mathematics in 1976 and from the Massachusetts Institute of Technology with an MS in electrical engineering and the degree ocean engineer in naval architecture and marine engineering in 1984. He retired from the U.S. Navy in 1989 after 23 years of service. Assignments included electrical officer on the USS Constellation (CV 64) project engineer for the DDG 51 machinery control system (NAVSEA) and DDG 51 Technical Director (NAVSEA). He was vice president of the PDI Division of Bird-Johnson Company from July 1989 to November 1998 where he managed various gas turbine and machinery controls related development projects. He joined Anteon Corporation's Systems Engineering Group as senior controls engineer in December 1998 where he provided technical support to the integrated power systems program (NAVSEA PMS 510) and managed the Office of Naval Research Afloat Laboratory. DR. MARK KIRKPATRICK is currently an independent consultant in human factors and work-load/manning analysis and modeling. He holds a Ph.D. degree in experimental psychology from The Ohio State University and has 34 years of experience in applied human factors. From 1982 through 2000 Dr. Kirkpatrick served as the senior vice president of Carlow International. Prior to joining Carlow in 1982 Dr. Kirkpatrick served as a member of the technical staff at North American Rockwell's Missiles Division and as a project director and vice president for Essex Corporation. His areas of expertise include workload simulation task analysis operator-in-the-loop simulation human performance experimentation statistical analysis and human factors T&E. He has directed and/or participated in human factors projects for the U.S. Navy U.S. Army NASA Department of Transportation the U.S. Nuclear Regulatory Commission and private industry. ANTHONY J. SEMAN III is the technical manager for the reduced ship's crew by virtual presence (RSVP) advanced technology d

Aboard current ships, such as the DDG 51, engineering control and damage control activities are manpower intensive. It is anticipated that, for future combatants, the workload demand arising from operation of systems under conditions of normal steaming and during casualty response will need to be markedly reduced via automated monitoring, autonomous control, and other technology initiatives. Current DDG 51 class ships can be considered as a manpower baseline and under Condition III typical engineering control involves seven to eight watchstanders at manned stations in the Central Control Station, the engine rooms and other machinery spaces. In contrast to this manning level, initiatives such as DD 21 and the integrated engineering plant (IEP) envision a partnership between the operator and the automation system, with more and more of the operator's functions being shifted to the automation system as manning levels decrease. This paper describes some human systems integration studies of workload demand reduction and, consequently, manning reduction that can be achieved due to application of several advanced technology concepts. Advanced system concept studies in relation to workload demand are described and reviewed including. Piecemeal applications of diverse automation and remote control technology concepts to selected high driver tasks in current DDG 51 activities. Development of the reduced ship's crew by virtual presence system that will provide automated monitoring and display to operators of machinery health, compartment conditions, and personnel health. The IEP envisions the machinery control system as a provider of resources that are used by various consumers around the ship. Resource needs and consumer priorities are at all times dependent upon the ship's current mission and the availability of equipment pawnbrokers.

关键词： Naval warfare

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Fuzzy Markov predictor in electric load forecasting

Fuzzy Markov predictor in electric load forecasting

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International Joint Conference on Neural Networks (IJCNN)

作者： M.A. Teixeira G. Zaverucha Systems Engineering and Computer Science Program Federal University of Rio de Janeiro Brazil Systems Engineering and Computer Science Program E28093 Graduate Programs in Engineering (COPPE) Federal University of Rio de Janeiro Brazil

We present the fuzzy Markov predictor (FMP), a hybrid system that is applied to the task of monthly electric load forecasting. The FMP is a modification we introduce in the hidden Markov model in order to enable it to predict numerical values. The FMP can be seen as an extension of the fuzzy Bayes predictor (FBP) that was modified from the naive Bayes classifier. For verifying the efficiency of the FMP's prediction, we compare it with the FBP, one fuzzy system and two traditional forecasting methods, Box-Jenkins and Winters exponential smoothing.

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

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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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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 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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Robust H ∞ Filtering for Linear Continuous-Time Uncertain systems With Multiple Delays: An LMI Approach

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IFAC Proceedings Volumes 2000年第14期33卷 249-254页

作者： Reinaldo M. Palhares Pedro L.D. Peres Carlos E. de Souza Pontifical Catholic University of Minas Gerais Graduate Program in Electrical Engineering Av. Dom José Gaspar 500 Prédio 4 30535-610 Belo Horizonte MG Brazil. School of Electrical and Computer Engineering University of Campinas CP 6101 13081-970 Campinas Sp Brazil Department of Systems and Control Laboratório Nacional de Computção Científica - LNCC Av. Getúlio Vargas 333 25651-070 Petrópolis RJ Brazil.

The problem of robust H ∞ filter design for uncertain continuous-time linear systems with multiple time-delayed states is addressed in this paper. The uncertainties are assumed to belong to convex bounded domains (polytope type uncertainty) and the time delays are supposed to be constant. Delay-independent as well as delay-dependent stability conditions assuring robust stability and a prescribed H ∞ disturbance attenuation for the filtering error system are established, in both cases, in terms of linear matrix inequalities, which can be efficiently solved by standard optimization procedures with global convergence assured. Two illustrative examples are analyzed.

关键词： Time-delay systems Delay-dependent stability Delay-independent stability Robust H ∞ filtering Linear matrix inequalities

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Recurrent neural gas in electric load forecasting

Recurrent neural gas 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 Federal University of Rio de Janeiro Brazil Electric Power Research Center Brazil

We have proposed for the task of hourly electric load forecasting a hybrid neural system combining unsupervised and supervised learning. The system consists of a recurrent neural gas (RNG) network and many Elman neural networks (ENs). RNG is a modification we introduced in the neural gas (NG) network in order to enable it to do clustering using a sequence of input data. For verifying the RNG's performance, many architectures are compared in the learning of global and local models. In a global model only one supervised network is trained and in a local model the training examples are grouped by a clustering algorithm and each one of these groups is sent to different supervised networks. These architectures use different clustering algorithms (NG and RNG) or different supervised networks for prediction (ENs that are trained by backpropagation or backpropagation through time, and feedforward networks).

关键词： Load forecasting Clustering algorithms Neural networks Predictive models Power engineering and energy Backpropagation algorithms Supervised learning systems engineering and theory computer science Recurrent neural networks

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