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International Joint Conference on Neural Networks (IJCNN)

作者： Y. Hayashi J.J. Buckley E. Czogala Department of computer and Information Sciences Ibaraki University Hitachi Ibaraki Japan Mathematics Department University of Alabama Birmingham Birmingham AL USA Department of Automatic Control Electronics and Computer Science Technical University of Silesia Gliwice Poland

Applications of three types of fuzzy neural networks are presented: crisp signals used to evaluate fuzzy weights; fuzzy signals combined with fuzzy weights; and fuzzy signals transformed by a fuzzy neuron (no weights). The applications are drawn from the fuzzy controller, system identification, and fuzzy expert systems. In all cases a learning algorithm is proposed. In each case, a brief review is presented of the model of the fuzzy neuron, together with a detailed discussion of the application of the neural network built up of these fuzzy neurons.< >

关键词： Systems engineering and theory Fuzzy neural networks Fuzzy control Neurons Fuzzy sets Hybrid intelligent systems Neural networks Training data Application software Fuzzy systems

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Fuzzy neural network with fuzzy signals and weights

Fuzzy neural network with fuzzy signals and weights

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International Joint Conference on Neural Networks (IJCNN)

The direct fuzzification of a standard layered feedforward neural network where the signals and weights are fuzzy sets is discussed. A fuzzified delta rule is presented for learning. Three applications are given, including modeling a fuzzy expert system; performing fuzzy hierarchical analysis based on data from a group of experts; and modeling a fuzzy system. Further applications depend on proving that this fuzzy neural network can approximate a continuous fuzzy function to any degree of accuracy on a compact set.< >

关键词： Fuzzy neural networks Fuzzy sets Neurons Neural networks Hybrid intelligent systems Fuzzy systems computer networks Feedforward neural networks Arithmetic Fuzzy control

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On the equivalence of neural networks and fuzzy expert systems

On the equivalence of neural networks and fuzzy expert syste...

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International Joint Conference on Neural Networks (IJCNN)

作者： J.J. Buckley Y. Hayashi E. Czogala Mathematics Department University of Alabama Birmingham Birmingham AL USA Department of computer and Information Sciences Ibaraki University Hitachi Ibaraki Japan Department of Automatic Control Electronics and Computer Science Technical University of Silesia Gliwice Poland

It is proven that any continuous, layered, feedforward neural net can be approximated to any degree of accuracy by a (discrete) fuzzy expert system, and that any continuous, discrete, fuzzy expert system with one block of rules may be approximated to any degree of accuracy by a three layered, feedforward neural net. The second result may be generalized to multiple blocks of rules by considering total (discrete) input and total (discrete) output from the fuzzy expert system. It is concluded that fuzzy expert systems and neural nets can both approximate functions (mappings, systems).< >

关键词： Neural networks Hybrid intelligent systems Fuzzy sets Neurons Equations Mathematics computer science Feedforward neural networks Virtual manufacturing Logistics

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Fuzzy expert systems versus neural networks

Fuzzy expert systems versus neural networks

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International Joint Conference on Neural Networks (IJCNN)

The authors describe a rule-based fuzzy expert system using a method of approximate reasoning to evaluate the rules when given new data. It is argued that any fuzzy expert system using one block of rules can be approximated. The theory is generalized to networks of neural nets and fuzzy expert systems using multiple interconnected blocks of rules. The authors demonstrate how the neural net is trained, and how the rules in the fuzzy expert system are written. An example illustrating these ideas is presented.< >

关键词： Hybrid intelligent systems Neural networks Fuzzy sets Multi-layer neural network Feedforward neural networks computer science National electric code Expert systems Fuzzy reasoning

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Sufficient Conditions for the Robust Stability of Systems with Multiaffine Parameter Dependence

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IFAC Proceedings Volumes 1992年第21期25卷 168-171页

作者： B.D.O. Anderson F.J. Kraus M. Mansour S. Dasgupta Department of Systems Engineering Research School of Physical Sciences and Engineering Australian National University GPO Box 4 Canberra ACT 2601 Australia. Automatic Control Laboratory ETH Zurich 8092 Zürich Switzerland Department of Electrical & Computer Engineering University of Iowa Iowa City lA 52242 USA.

A number of robust stability problems take the following form: A polynomial has real coefficients wvhich are multiaffine in real parameters that are confined to a box in parameter space. An efficient method is required for checking the stability of this set of polynomials. We present two sufficient conditions in this paper. They involve: checking certain properties at the corners and edges of the parameter space box.

关键词： Robust Stability Multiaffine Parameter Dependence

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Harmonic insertion in PWM inverter drive schemes

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European Transactions on Electrical Power 1992年第3期2卷 143-151页

作者： Theocharis, J. Petridis, V. Dr.-Ing. John Theocharis (1956) graduated as an Electrical Engineer from Aristotelian University of Thessaloniki.Greece in 1980. From 1980 to 1985 he has been with the scientific staff of the Department of Electrical Engineering at the Aristotelian University where he received the Ph.D. degree in 1985. Since 1986 he is working as a lecturer and in 1990 he became assistant professor at the Department of Electronics and Computer Engineering in the m e university. His research activities include control power electronics and electrical motor drives. Recently he is working with the Neural Network Systems with applications to field oriented control problems. Aristotelian University of Thessaloniki School of Engineering Faculty of Electrical Engineering Dept. of Electronics & Computer Engineering P.O. Box 438 GR-Thessalonikil/Greece.T+3131/219784Fax + 3031/274868) Prof. Dr.-Ing. Vasilis Petridis (1946) graduated from National Technical University of Athens Greece in 1969.He obtained the M.Sc. and the Ph.D. in electronics and systems from the University of London in 1970 and 1974. respectively. H i s interests include applied automatic control neural networks drives dynamic systems robotics etc. He is currently professor in the Department of Electronics and Computer Engineering of the University of Thessaloniki. (Aristotelian University of Thessaloniki. School of EngineeringFaculty of Electrical Engineering Dept. of Electronics & Computer Engineering P.O. Box 438. GR-ThessaloniW Greece T+3031/219784.Fax+3031/274868)

The procedure of harmonic insertion is generalized in this paper. Analytical expressions of the voltage spectra are derived. The insertion of the 3rd harmonic to the modulating signal, which is of particular interest, is considered as a special case. It is demonstrated in this case that the fundamental harmonic component of the phase and the line‐to‐line voltage is not affected by the insertion of the 3rd harmonic for sufficiently high values of the chopping ratio. However it has been shown that the higher harmonic spectrum is significantly improved as compared to the case of pure sinusoidal modulation. For different values of the fundamental component the optimal values of the amplitude of the third harmonic to be inserted have been calculated so that the distortion factor of the higher harmonic spectrum is minimized. Other cases of harmonic insertion are also considered which provide spectrum efficiency improvement. Experimental results are given which have been obtained by means of a microcomputer controlled PWM generator constructed for this purpose. Copyright © 1992 John Wiley & Sons, Ltd.

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DEVELOPMENT OF FAULT RECOGNITION EXPERT SYSTEM

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Journal of Southeast University(English Edition) 1991年第2期7卷 59-65页

作者：张慰南黄可鸣 Department of Automatic Control Department of Computer Science and Engineering

The fault recognition is a constructional problem involved in the plane inter-pretation of seismic *** paper presents a fault recognition expert system(FRES)built on blackboard model and introduces its technical characteristics such as rea-soning about control,focusing by step,integration of human inteUigcnce and machine in-telligence.

关键词： computer applications seismic survey applied geophysics/expert system blackboard architccture

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Navigation schemes for underwater robots using strapdown inertial navigation system

Navigation schemes for underwater robots using strapdown ine...

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International Conference on Industrial Electronics, control and Instrumentation

作者： Z. Chen J.C. Hung Automatic Control Department Beijing Institute of Aeronautics and Astronautics Beijing China Electrical and Computer Engineering Department Knoxville TN USA

The authors deals with navigation schemes for underwater robots using strapdown inertial navigation systems. Compared to the current hydroacoustic position reference systems used for underwater robots, the strapdown inertial systems have longer operation distance, possess better autonomous ability, provide more complete navigation, and offer higher potential accuracy. Two navigation schemes are proposed, one for short-range operations and the other for long-range operations. Criteria for the choice of one of the two are also given. Their application conditions, software requirements, and their respective navigation errors are analyzed.< >

关键词： Inertial navigation Robot kinematics Silicon compounds Radio navigation Satellite navigation systems Orbital robotics Aircraft navigation Robotics and automation Application software Base stations

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Performance evaluation of six terrain stochastic linearization techniques for TAN

Performance evaluation of six terrain stochastic linearizati...

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IEEE National Conference on Aerospace and Electronics (NAECON)

作者： Pei-Jun Yu Zhe Chen J.C. Hung Automatic Control Department Beijing Aeronautics and Astronautics University Beijing China Electrical and Computer Engineering Department University of Tennessee Knoxville TN USA

Six terrain stochastic linearization techniques are discussed. Among them are three new ones which were developed for TAN (terrain-aided navigation). These three are the improved full-plane fit (IFPF), the mean tangent-line (MTL), and the two-subgroup fit (TSF) techniques. Performance evaluations for each technique are made and compared. The evaluation for each technique makes use of six measures. Each technique has its merits and demerits. On the whole, the TSF technique appears to be the best.< >

关键词： Stochastic processes Linearization techniques Navigation Noise measurement Extraterrestrial measurements Filtering Equations Analytical models Vehicles Kalman filters

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Trajectory Shaping by the U-Parameter Design Method

Trajectory Shaping by the U-Parameter Design Method

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American control Conference (ACC)

作者： Peter Dorato Yang Wei Chun-Lin Shen Department of Electrical and Computer Engineering University of New Mexico Albuquerque NM USA Department of Automatic Control Engineering Nanjing Aeronautical Institute Nanjing China

This paper is concerned with the application of U-parameter design method to a problem of "trajectory shaping." Three linearized models are assumed for an unpowered vehicle with modelling errors introduced by variations in flight path angle. Corresponding to the three linearized models, three controllers, which are used in different flight phase, are designed by U-parameter theory. The three controllers guarantee that the vehicle motion, during its approach to target point, is robustly stable and is optimal at the nominal flight path in the sense that the step error response of resultant feedback control system is minimal in the mean square sense. Digital simulation results show that U-parameter design method can be successfully used to the problem

关键词： Design methodology Robust control Feedback control automatic control Error correction control systems Target tracking Transfer functions Space vehicles computer vision

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