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PARALLEL AND distributed TLM COMPUTATION WITH SIGNAL-PROCESSING FOR ELECTROMAGNETIC-FIELD MODELING

INTERNATIONAL JOURNAL OF NUMERICAL MODELLING-ELECTRONIC NETWORKS DEVICES AND FIELDS 1995年第3-4期8卷 169-185页

作者： SO, PPM ESWARAPPA, C HOEFER, WJR NSERC/MPR Teltech Research Chair in RF Engineering Department of Electrical and Computer Engineering University of Victoria Victoria British Columbia V8W 3P6 Canada Poman So received his B.Sc. degree in computer science and physics from the University of Toronto Toronto Onatario Canada in 1985. He obtained his B.A. Sc. and M.A.Sc. degrees in electrical engineering (summa cum laude) from the University of Ottawa Ottawa Ontario Canada in 1987 and 1989 respectively. Mr So was a research engineer in the University of Ottawa from January 1989 to October 1991 his research interests included CAD techniques of microwave circuits and numerical methods for electromagnetic wave modelling. He specialized in the development of electromagnetic engineering CAD software and successfully implemented a number of electromagnetic wave simulators based on the two-dimensional and three-dimensional transmission-line matrix methods. From August 1990 to February 1991 he accompanied Professor W. J. R. Hoefer to Rome Italy and Sophia Antiopolas France. During that time he implemented a parallel version of the 3D-TLM simulator for the CM-2 Connection Machine using C-Star and X Windows Library. He is a research engineer and a Ph.D. student at the University of Victoria Victoria British Columbia Canada. He ported the 2D- and 3D-TLM simulators to DECmpp 1200 massively parallel computer using MPL C and C++. He also combined OSA90/hope a commercially available microwave CAD program with a 2D-TLM simulation module for geometry optimization using the Datapipe technique of OSA90/hope. Recently he has developed a distributed client-server computing technique for the TLM method this technique could accelerate the TLM simulation by more than an order of magnitude. Channabasappa Eswarappa received the M.Tech. degree in electrical engineering from the Indian Institute of Technology Kanpur India in 1983 and Ph. D. degree from the University of Ottawa Canada in 1990. He worked as an Assistant Executive Engineer and later as

This paper describes the implementation of transmission-line matrix (TLM) method algorithms on a massively parallel computer (DECmpp 12000), the technique of distributed computing in the UNIX environment, and the combination of TLM analysis with Prony's method as well as with autoregressive moving average (ARMA) digital signal processing for electromagnetic field modelling. By combining these advanced computation techniques, typical electromagnetic field modelling of microwave structures by TLM analysis can be accelerated by a few orders of magnitude.

关键词： Mathematical models

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Windows computer laboratory as a tutorial for undergraduate electromagnetics

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computer Applications in Engineering Education 1995年第3期3卷 183-183页

作者： McCulloch, J. Keddy, W.A. Stuchly, M.A. University of Victoria Department of Electrical and Computer Engineering University of Victoria Victoria British Columbia Canada Janet McCulloch:is a native of Toronto Canada where she briefly attended both York University and the University of Toronto before she set off on a year-long adventure through the Middle East and North Africa. When she returned to Canada she relocated to California. She spent a number of years living both in Los Angeles and coastal Northern California interspersed with several extended trips through the United States Mexico and Central America. Ms. McCulloch moved to Victoria British Columbia in 1989 and a year later registered in the cooperative education program in Electrical Engineering at the University of Victoria. She is presently in the fifth and final year of the program and has her sights set on graduate school. Besides the work described in this article she has been very much involved in the use of technology to assist in the delivery of curriculum at the senior secondary level. She lives on a country property a half-hour from the University with her husband her horse and three cats. W. Alfred Keddy:is an applications programmer/analyst for the Department of Electrical and Computer Engineering at the University of Victoria. He received a BEng (1988) in Electrical Engineering and an MASc (1994) from the University of Victoria. His research interests include distributed systems image processing local area networks VLSI and DSP system design for computation and communication and human–computer interface design. Maria A. Stuchly:received an MSc in Electrical Engineering in 1962 from Warsaw Technical University and a PhD in Electrical Engineering from the Polish Academy of Sciences in 1970. Between the years of 1962 and 1970 she was with the Warsaw Technical University an Institute of the Polish Academy of Sciences. After immigrating to Canada during 1970 her first position was with the University of Manitoba. In 1976 she became employed by the Bureau of Radi

Contents and implementation of a computer laboratory for undergraduate electromagnetics are described. The laboratory consists of four 3-hour sessions covering vector calculus, Maxwell's equations (integral and differential forms), wave propagation in materials, and wave behavior at planar interfaces. Each session contains theory (in the Help file), animations (where relevant) and a quiz. The program runs on IBM compatible 486-based PCs in a Windows environment and uses the Borland C ++ 4.0 compiler.

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Multiagent fault‐diagnosis expert system in power systems

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European Transactions on Electrical Power 1995年第5期5卷 341-347页

作者： Wang, J.P. Trécat, J. Dr. Jianping Wang is a doctor fellow in the Faculte Polytechnique de Mons in Belgium. His current research field is parallel processing applications in power systems. Dr. Wang obtained his BS degree from Southwest Jiaotong University in P.R. Chinain 1982. From 1982 to 1990 he was appointed as an assistant lecturer. lecturer and associate professor respectively in the electrical engineering department of Southwest Jiaotong University. He obtained his Ph.D in the FacultC Polytechnique de Mons in July of 1993. (BD Dolez 3 1 FPMS B-7000 Mons Belgium T +32-65/37 41 87 Fax +32-65/37 43 00) Professor J. Trécat is a director in the power system laboratory in the Faculty Polytechnique de Mons. He obtained his Ph.D in the University of Manchester Institute of Science and Technology(UM1ST) in U.K. in 1970. He has been working in the fields of power system automation artificial intelligence application and computer vision in the Facult6 Polytechnique de Mons since 1970. He is a senior member of IEEE and he has made much contribution both in electrical engineering education and research. (BD Dolez 3 I FPMS B-7000 Mons T +32-651374185. Fax +32-6513743 00)

In order to solve the speed problem and shallow reasoning problem met in current research in fault diagnosis expert system, this paper presents a model based parallel fault diagnosis expert system for energy management systems (EMS). The Petri net model, which corresponds to the relationship between power system components and their protection systems, has been used for the inference in fault diagnosis. A multiagent parallel processing expert system, which is based on five transputers in Sun workstation, has been built for fault diagnosis purposes. The test results show that this expert system is not only fast but also has better performances. Copyright © 1995 John Wiley & Sons, Ltd.

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An algorithm for recognizing palm polygons

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The Visual computer 1994年第8期10卷 443-451页

作者： Ghosh, Subir Kumar Maheshwari, Anil Pal, Sudebkumar Prasant Madhavan, C.E.Veni Computer Science Group Tata Institute of Fundamental Research Bombay 400005 India Computer Systems and Communications Group Tata Institute of Fundamental Research Bombay 400005 India Department of Computer Science and Engineering Indian Institute of Technology Kharagpur 721302 India Department of Computer Science and Automation Indian Institute of Science Bangalore 560012 India

A polygon P is said to be a palm polygon if there exists a point x∈P such that the Euclidean shortest path from x to any point y∈P makes only left turns or only right turns. The set of all such points x is called the palm kernel. In this paper we propose an O(E) time algorithm for recognizing a palm polygon P, where E is the size of the visibility graph of P. The algorithm recognizes the given polygon P as a palm polygon by computing the palm kernel of P. If the palm kernel is not empty, P is a palm polygon. © 1994 Springer-Verlag.

关键词： Computational geometry Kernel Palm polygon Visibility graph Weak visibility polygon

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Grey-Box Modeling for Identification and Control: An Emerging Discipline or an Established Technology?

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IFAC Proceedings Volumes 1994年第8期27卷 1193-1198页

作者： S. Bay Jorgensen K.M. Hangos Department of Chemical Engineering Technical University of Denmark Systems and Control Research Laboratory: Computer and Automation Institute HAS

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.

关键词： Qualitative differential and algebraic equations Uncertainty representation Verbatim models Robust identification and control Modeling cycle

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A graph-theoretic approach to integrated process and control system synthesis

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IFAC Proceedings Volumes 1994年第7期27卷 61-66页

作者： K.M. Hangos F. Friedler J.B. Varga L.T. Fan Systems and Control Research Laboratory Computer and Automation Institute Hungarian Academy of Sciences H-1518 Budapest Pf. 63 Hungary Department of Systems Engineering Research Institute of Chemical Engineering Hungarian Academy of Sciences H-8201 Veszprim Pf 125 Hungary Department of Chemical Engineering Kansas State University Manhattan KS 66506 USA

A graph-theoretic method for integration of process and control system (IPCS) syntheses has been proposed in the present paper. The foundation of this integration is a well-established, graph-theoretic approach to process synthesis in conjunction with the analysis of structural controllability based on digraph-type process models. A directed bipartite graph, the CP-graph, has been introduced for unambiguous representation of an IPCS structure. The notion of CP-graph has given rise to a set of axioms for describing the combinatorially feasible and controllable structures. The maximal controllable structure of an IPCS synthesis problem has been defined as the union of combinatorially feasible and controllable IPCS structures; obviously, the optimal IPCS structure must be a substructure of this maximal controllable structure. Thus, the mathematical programming model, e.g., MINLP model, of an IPCS synthesis problem should be derived from the maximal controllable structure. The fundamental combinatorial algorithm of IPCS synthesis, i.e., algorithm CMSG, for identifying this maximal controllable structure has been formulated. The complexity of this algorithm has been proved to be polynomial on the size of the problem; its efficacy is illustrated with a relatively simple example. The resultant IPCS structures are compared with the structures synthesized without considering their control systems.

关键词： Process control control system synthesis structural controllability combinatorial mathematics synthesis methods

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Random parameter variation in analog VLSI neural networks for linear image filtering

Random parameter variation in analog VLSI neural networks fo...

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International Joint Conference on Neural Networks (IJCNN)

作者： B.E. Shi T. Roska L.O. Chua Department of Electrical Engineering and Computer Sciences University of California Berkeley CA USA Dual and Neural and Neural Computing Systems Laboratory Computer and Automation Research Institute Hungarian Academy of Sciences (ATOMKI) Budapest Hungary

This paper introduces an analytic method to determine the sensitivity to random parameter variations of analog VLSI neural network architectures for linear image filtering. The authors compare the robustness of several different circuit architectures for low pass filtering. This method can also determine which components within a particular architecture should specified the most precisely.< >

关键词： Intelligent networks Very large scale integration Neural networks Nonlinear filters Circuits Filtering Robustness Low pass filters computer architecture Cellular neural networks

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An optimal algorithm for approximate nearest neighbor searching 94

An optimal algorithm for approximate nearest neighbor search...

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Proceedings of the fifth annual ACM-SIAM symposium on Discrete algorithms

作者： Sunil Arya David M. Mount Nathan S. Netanyahu Ruth Silverman Angela Wu Max-Planck-Institut für Informatik Im Stadtwald D-66123 Saarbrücken Germany Department of Computer Science and Institute for Advanced Computer Studies University of Maryland College Park Maryland Space Data and Computing Division NASA Goddard Space and Flight Center Greenbelt Maryland and Center for Automation Research University of Maryland College Park Maryland Department of Computer Science University of the District of Columbia Washington DC and Center for Automation Research University of Maryland College Park Maryland Department of Computer Science and Information Systems The American University Washington DC

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Hybrid learning control techniques for the manipulation of rigid objects

Hybrid learning control techniques for the manipulation of r...

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IEEE International Conference on Robotics and automation (ICRA)

作者： M. Aicardi G. Cannata G. Casalino Department of Communication Computer and System Sciences (DIST) University of Genova Genoa Italy Italian National Research Council Naval Automation Institute (IAN-CNR) Genoa Italy Department of Electrical Systems and Automation University of Pisa Pisa Italy

The problem of dexterous manipulation of rigid objects is discussed. A formalism suitable for representing the space of the contact forces allowing a grasped object to perform an assigned motion is presented. The advantages that can be gained using such a formalism when robust grasping planning problems are dealt with are highlighted. The question of how manipulation dexterity in performing grasping actions could be attained in cases where possible repetitions of the planned task are somehow allowed is discussed. This is done on the basis of results concerning the so-called iterative learning hybrid control theory, extended to address robotic manipulation problems.< >

关键词： Automatic control automation Force control Motion control Robots Communication system control Councils Contacts Robust control Control theory

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Dexterous Manipulation of Rigid Objects Using Learning Hybrid Control Techniques

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IFAC Proceedings Volumes 1993年第2期26卷 501-506页

作者： M. Aicardi G. Cannata G. Casalino Department of Communication Computer and System Sciences University of Geneva Via Opera Pia 11A 16145 Genova Italy Naval Automation Institute Italian National Research Council Via De Marini 6 16145 Geneva Italy Department of Electrical Systems and Automation University of Pisa Via Diotisalvi 2 56126 Pisa Italy

Dexterous manipualtion of rigid objects involves two main objectives. The first one is to apply to the grasped object proper force/torque wrenches in order to perform an assigned motion, the second is to plan suitable contact forces that guarantee the satisfaction of both the motion specification and the physical constraints characteristics of a given grasp. In order to deal with this control problem, a formalism suitable for representing the space of the contact forces, allowing a grasped object to perform an assigned motion, is presented. Moreover a particular emphasis to the advantages that can be gained, using such a formalism is given whenever "robust grasping" planning problems are dealt with. The paper also shows that "manipulation dexterity" in performing grasping actions can be attained in cases where possible repetitions of the planned task are somehow allowed. This is done on the basis of some results concerning the so called "Iterative Learning Hybrid Control Theory". extended toward robotic manipulation problems.

关键词： Learning systems Position/Force Control Manipulation Motion and Force Planning

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