In this article a multimedia computer-assisted learning (MCAL) system is presented. The major objective of this work was to investigate the potential of using such systems as tools for transferring instructional cours...
In this article a multimedia computer-assisted learning (MCAL) system is presented. The major objective of this work was to investigate the potential of using such systems as tools for transferring instructional course information through various types of computer media as opposed to the classic CAL systems. The philosophy and techniques employed to design the system are investigated. Usage of the implemented system and its merits have been illustrated through its application to teach engineering students and technicians the theory and concepts of marine radar. System design, implementation, test, and revision phases are presented and discussed.
作者:
Chiodo, E.Menniti, D.Testa, A.Picardi, C.Elio Chiodo (1959) received the degree in Electronics Engineering in 1985
and the Ph.D. degree in Computational Statistics both from the University of Naplefltaly. He is a Researcher at the Department of Electrical Engineering of the University of Naples and a member of the Italian Statistical Society. His areas of interest include probabilistic methods applied to electric power systems analysis. (University of Naples Fedrrico 11. Electrical Engineering Dept.via Claudio 21 1-80125 Naplefltaly T +3981/7683226 Fax+3981/2396897) Daniele Menniti (1958) received the degree in Electrical Engineering from the University of Calabria. Cosenzataly and the Ph.D. degree in Electrical Engineering from the University of NapleslItaly
in 1984 and 1989 respectively. He is a researcher at the Electronic. Computer and Systems Science Department of the University of Calabria. Italy. Hiscurrent research interests concern electric power system analysis real-time control and automation. (University of Calabria Electronic Computer and Systems Science Dep. Arcavacataji Rende (CS). 1-87036 CosenzdItaly T +39984/494707. Fax +39984/4947 13) Alfredo Testa (1950) received the degree in Electrical Engineering from the University of Naples/Italy
in 1975. He is an Associate Professor in Electrical Power Systems at the Department of Electrical Engineering of the University of Naples. He is engaged in researches on electrical power systems reliability and harmonic analysis. (University of Naples Federico 11. Electrical Engineering Dep. via Claudio '2 1 1-80 I25 NapleslItaly T + 39 8 I/7 68 3'2 11. Fax+3981/2396897) Ciro Picardi (1949) received the degree in Electronics Engineering from the University of Naples/Italy
in 1975. He is currently Associate Professor in Process Control at the Department of Electronic Computer and System Science of the University of Calabria. Italy. His current research interests are in the area of electrical drives robotics neural networks and fuzzy control. (University of Calabria Electronic. Compu
An artificial‐neural‐network (ANN) application for steady‐state security evaluation of electrical power systems is presented. Such application is based upon a combined use of a multilayer back‐propagation neural n...
作者:
Krebs, S.Dr.-Ing. Stephan Krebs (1963) received his Diploma degree in 1960 and his Dr.-Ing. degree in 1994 from the Elektrotechnisches Institut
Universitat Karlsruhe/Germany. His main fields of interest are the use of modem time-discrete control methods and parallel signal processing in adjustable speed drive and power supply systems. In summer 1994 he joined the Power Group of the Department of Electrical and Computer Engineering of the University of Toronto/Canada where he is currently working on industrial controller platform for power applications. (Department of Electrical and Computer Engineering University of Toronto 10 King's College Rd. Toronto/Ontario Canada M5S 1A4 T +4 1 6/9 78-66 18 Fax +4 1 6/9 7 1-23 25)
The cascaded doublyfed machine consists of two separate induction machines which are interconnected by their rotor windings. This paper presents a general control structure for such machines, based on the principle of...
The Ramadge-Wonham framework for control of discrete event systems is augmented with timing features by use of Ostroff's semantics for timed transition models. It is shown that the RW concept of controllability an...
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The Ramadge-Wonham framework for control of discrete event systems is augmented with timing features by use of Ostroff's semantics for timed transition models. It is shown that the RW concept of controllability and the existence of maximally permissive supervisory controls can be suitably generalized. The enhanced setting admits subsystem composition and the concept of forcible event as an event that preempts the tick of a global dock. An example of a simple manufacturing cell illustrates how the new framework can be used to solve synthesis problems which may include logic-based, temporal and quantitative optimality specifications.
The problem of design and evaluation of binary hypothesis tests based on a set of available observations is considered. A so-called structured adaptive network (SAN) configuration for the modeling and implementation o...
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The problem of design and evaluation of binary hypothesis tests based on a set of available observations is considered. A so-called structured adaptive network (SAN) configuration for the modeling and implementation of a wide class of such tests is introduced. A general framework for the analysis and performance evaluation of a SAN is developed.
We consider the problem of multisensor detection in the presence of misalignment. We assume that the region that is covered by the sensors contains subregions that constitute blind spots in the sensors' fields of ...
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We consider the problem of multisensor detection in the presence of misalignment. We assume that the region that is covered by the sensors contains subregions that constitute blind spots in the sensors' fields of view. For analytical simplicity and numerical convenience, we consider the two-sensor case only, and describe the misalignment mathematically using a model that we have developed earlier. Preliminary assumptions involve a known geometry of the regions covered by each sensor and symmetric coverage. We formulate and analyze the distributed decision problem in the presence of misalignment when the sensors transmit only local decisions to the fusion. Different combining roles are considered at the fusion and compared with a centralized fusion scheme. Numerical results in the Gaussian channel indicate that for two sensors and under the imposed assumptions, only the OR combining rule at the fusion results in performance that degrades gracefully as the coverage factor decreases. The performance of the fusion under the OR rule is comparable-although inferior-to the performance of the centralized scheme. However, the AND combining rule yields very poor performance that degrades rapidly as the coverage factor varies.
Grey box modeling is a widely used term, which presently reflects that both a priori and experimental knowledge is being incorporated into the model building process. A brief investigation into various uses of grey bo...
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Grey box modeling is a widely used term, which presently reflects that both a priori and experimental knowledge is being incorporated into the model building process. A brief investigation into various uses of grey box modeling approaches reveals that they mainly differ with respect to the required model accuracy. The goal of the model application also has to be considered in the model building, since it constrains the necessary accuracy required by the model. In this paper these two viewpoints are combined thus leading to a proposed new definition of grey box modeling.
In this paper, the asymptotic tracking problem is considered for a class of multivariable nonlinear systems by using the principles of singular perturbation theory. Sufficient conditions together with a high-gain PI c...
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In this paper, the asymptotic tracking problem is considered for a class of multivariable nonlinear systems by using the principles of singular perturbation theory. Sufficient conditions together with a high-gain PI controller are given for a solution to exist. An application study of a three-link rigid robotic manipulator is included to illustrate the type of results which may be obtained by using the proposed controller.
Current computer aided control system design environments seldom support optimization methods for controller design in a truly interactive manner. A prototype tool, called PARSIM, supporting parallel processing, optim...
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Current computer aided control system design environments seldom support optimization methods for controller design in a truly interactive manner. A prototype tool, called PARSIM, supporting parallel processing, optimization and a graphical user interface is presented addressing many of the problems inherent in current approaches to multiobjective optimization based design methods. An XWindows interface is used to simplify problem formulation and control the optimization processes. Using a previously developed interface, the computational burden may be alleviated by parallel processing.< >
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