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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： C. Rekeczky A. Ushida T. Roska Department of Electrical and Electronks Engineering Faculty of Engineering University of Tokushima Tokushima Japan Analogical and Neural Computing Laboratory Computer and Automation Institute Hungarian Academy of Sciences (ATOMKI) Budapest Hungary

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Diminishment and enlargement of binary pictures using slightly space variant cellular neural network architecture

Diminishment and enlargement of binary pictures using slight...

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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： C. Rekeczky I. Ushida T. Roska Department of Electrical and Electronics Engineering Faculty of Engineering University of Tokushima Tokushima Japan Analogical and Neural Computing Laboratory Computer and Automation Research Institute Hungarian Academy of Sciences (ATOMKI) Budapest Hungary

Size modification of binary pictures can be mapped onto the CNN array using space variant linear templates. However, if all the parameters have to be set for each cell individually, then one of the CNN's main advantages will be lost in practice, the simple and quick parallel reprogrammability. In this paper, a general methodology is presented to derive the space variant templates of the complete weighting matrix from control pictures applying a simple nonlinear space invariant template. The straightforward design method presumes a modified CNN architecture (multiple input and specific nonlinear voltage-controlled current sources in every cell) and can be extended for a large class of sparse weighting matrices. Following this strategy the diminishment and enlargement process has been investigated using constant cell current and various bias maps in the transformations.

关键词： Cellular neural networks Optical sensors Process control Output feedback Control systems

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A telerobotics construction set with integrated performance analysis

A telerobotics construction set with integrated performance ...

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Proceedings 1995 IEEE/RSJ International Conference on Intelligent Robots and Systems. Human Robot Interaction and Cooperative Robots

作者： M. Skubic G.V. Kondraske J.D. Wise G.J. Khoury R.A. Volz S. Askew Department of Computer Science Texas A and M University College Station TX USA Human Performance Institute University of Texas Arlington Arlington TX USA Department of Electrical and Computer Engineering Rice University Houston TX USA Automation and Robotics Division NASA-Johnson Space Center Houston TX USA

The Universities Space automation and robotics Consortium (USARC) was established to promote research into robotics and telerobotics for remote applications. An important part of the work of the Consortium has been the design and implementation of the Telerobotic Construction Set (TCS), which enables the building of modular telerobotic networks. Online and off-line performance analyses are integrated into TCS using quantitative analytical models. This provides the capabilities of measuring and predicting performance and system work loads quantitatively under different conditions, such as different levels of remote autonomy or different operator interfaces. This paper presents the methodology used in the performance/workload analysis and describes experiments, measuring teleoperation performance under time delay.

关键词： Telerobotics robotics and automation Orbital robotics Performance analysis Educational institutions Modular construction Buildings Analytical models Time measurement Delay effects

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Steady‐state security evaluation of electrical power systems by means of artificial neural network

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European Transactions on electrical Power 1995年第2期5卷 91-97页

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 network and of an opportune electrical system model, previously proposed by some of the authors. In the paper, the definition of steady‐state security and the problems arising from its on‐line evaluation are briefly recalled. Then, the ANN utilized is described with particular reference to the solutions adopted by the authors. Afterwards, some remarks on the system model utilized are reported. Finally, numerical applications on the AEP‐14 bus system are presented and the results obtained with different ANN configurations are analyzed. Copyright © 1995 John Wiley & Sons, Ltd.

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LONGITUDINAL CONTROL OF THE LEAD CAR OF A PLATOON

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IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY 1994年第4期43卷 1125-1135页

作者： GODBOLE, DN LYGEROS, J Department of Electrical Engineering and Computer Intelligent Machines and Robotics Laboratory University of California Berkeley CA USA

We present longitudinal control laws for vehicles moving in an Intelligent Vehicle Highway System (IVHS) [1], [2]. In particular, the scenario where cars move along the highway in;tightly spaced platoons is considered. We present control schemes that perform the major longitudinal tasks that will be required from the lead vehicle of a platoon moving on an automated highway. More specifically, schemes that maintain safe spacing, track an optimal velocity and perform various maneuvers (forming, breaking up platoons and changing lanes) are described. Simulation results are given in the Appendix.

关键词： LONGITUDINAL CONTROL Moving lead vehicle optimal velocity vehicle Carina Automated highways Simulation results intelligent vehicle highway system Cars Freeway control law

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SIMULATION AND ANIMATION OF SENSOR-DRIVEN ROBOTS

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IEEE TRANSACTIONS ON robotics AND automation 1994年第5期10卷 684-704页

作者： CHEN, CX TRIVEDI, MM BIDLACK, CR Computer Vision and Robotics Research Laboratory the Department of Electrical and Computer Engineering University of Tennessee Knoxville TN USA Department of Electrical and Computer Engineering University of Tennessee Knoxville TN USA Artificial Intelligence Laboratory College of Engineering University of Michigan Ann Arbor MI USA

Most simulation and animation systems utilized in robotics are concerned with simulation of the robot and its environment without simulation of sensors. These systems have difficulty in handling robots that utilize sensory feedback in their operation. In this paper, a new design of an environment for simulation, animation, and visualization of sensor-driven robots is presented. As sensor technology advances, increasing numbers of robots are equipped with various types of sophisticated sensors. The main goal of creating the visualization environment is to aid the automatic robot programming and off-line programming capabilities of sensor-driven robots. The software system will help the users visualize the motion and reaction of the sensor-driven robot under their control program. Therefore, the efficiency of the software development is increased, the reliability of the software and the operation safety of the robot are ensured, and the cost of new software development is reduced. Conventional computer-graphics-based robot simulation and animation software packages lack of capabilities for robot sensing simulation. This paper describes a system designed to overcome this deficiency.

关键词： Animation Robot sensing systems robotics and automation Visualization Robot programming Software safety Computational modeling computer simulation Automatic programming Software systems

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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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Field Programmable Gate Arrays: A cheaper way of customizing product prototypes

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IEEE Potentials 1994年第1期13卷 16-19页

作者： Bhatia, Dinesh Department of Electrical and Computer Engineering Design Automation Laboratory University of Cincinnati

Advances in VLSI technology have brought very complex digital systems onto a very small area of silicon. However, the design cycle times associated with the conventional VLSI designs have called for a technology that will support very rapid system prototyping. Also, the non-recurring engineering (NRE) costs associated with existing VLSI technologies are very high. An ideal design style should support rapid prototyping at almost no or very nominal NRE costs. FPGA is an attempt in this direction. FPGAs have a potential for matching both speed and density of mask programmed gate arrays (MPGAs). It is expected that more and more digital designs will be built on FPGAs, and FPGA based designs will outnumber the MPGA based designs in the near future. The author begins by discussing the nature of FPGAs and their architecture (with design tools). The author goes on to discuss custom computing. © 1994 IEEE.

关键词： Field programmable gate arrays Prototypes Switches Programmable logic arrays Logic devices Wires Costs Application specific integrated circuits Very large scale integration Integrated circuit interconnections

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Motion perception using spatiotemporal frequency analysis

Motion perception using spatiotemporal frequency analysis

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IEEE International Conference on Image Processing

作者： G. Ravichandran M.M. Trivedi Computer Vision and Robotics Research Laboratory Electrical and Computer Engineering Department Computer Vision and Robotics Research Laboratory Electrical and Computer Engineering Department University of Tennessee Knoxville TN USA

Motion information is extracted by identifying the temporal signature associated with the textured objects in the scene. We present a new computational framework for motion perception. Our methodology considers spatiotemporal frequency (STF) domain analysis to extract the optical flow information. First, we show that a sequence of image frames can be used to extract the motion parameters for the different regions in a dynamic scene using the basic Fourier transform properties in the STF analysis approach. A detailed analytical description of this model to interchangably extract motion and depth parameters and results to highlight their salient properties are presented.< >

关键词： Motion analysis Spatiotemporal phenomena Image motion analysis Data mining Layout Frequency domain analysis Information analysis Fourier transforms Image analysis Image sequence analysis

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A control strategy for two-level systems with optimization in the feedback loop

A control strategy for two-level systems with optimization i...

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IEEE Conference on Control Technology and Applications (CCTA)

作者： Pagalos Stavropoulos Groumpos Laboratory for Automation and Robotics Department of Electrical Engineering University of Patras Rion Greece

In this paper the case of a linear decentralized large scale system (LSS) which consists of N linear subsystems S/sub 1/,S/sub 2/,...,S/sub N/ in lower hierarchical level, interconnected through a common linear subsystem S/sub 0/, in a higher hierarchical level, is considered. The N subsystems are not connected to each other, thus leading to a matrix A having a block arrow structure (BAS). The continuous state space model and controlling algorithm of such a system is presented. We describe the optimization of the feedback gain using a gradient type algorithm for the adaptation of the gain in the constrained space of the SAS feedback gains. Thus a near optimal solution is obtained, which keeps all the BAS appealing characteristics and is closer to the optimal solution than any other previous approach.< >

关键词： Linear systems Large-scale systems Optimization methods Output feedback Matrices State space methods Optimal control

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