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Sequential and Reinforcement Learning for Neurocontrol

IFAC Proceedings Volumes 2004年第16期37卷 37-42页

作者： James J. Govindhasamy Seán F. McLoone George W. Irwin Vijanth S. Asirvadam Intelligent Systems and Control Research Group Queen's University Belfast Belfast BT9 5AH N. Ireland UK. Dept. of Electronic Engineering National University of Ireland Maynooth Maynooth Co. Kildare Ireland. Faculty of Information and Science Technology Multimedia University Malacca Malaysia.

This paper presents a novel sequential learning neural network implementation of action dependent adaptive critics. Sequential learning neural networks provide a systematic way of adding neurons in response to new data features as well as removing neurons which cease to contribute to the overall performance of the network. The convergence rate of the sequential learning method is enhanced by applying a modified Recursive Prediction Error algorithm to adjust network parameters. The new methodology, which provides a fully autonomous controller, is benchmarked against the conventional MLP neurocontroller on a highly nonlinear inverted pendulum system and shown to achieve superior perfonnance.

关键词： Radial basis function sequential learning neural networks action dependent adaptive critics reinforcement learning minimal update

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On simulation based analysis and synthesis of hierarchical network sturctures 6

On simulation based analysis and synthesis of hierarchical n...

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6th European control Conference, ECC 2001

作者： Tanevska, Dijana J. Dimirovski, Georgi M. Stankovski, Mile J. Jing, Yuanwei Makedonski Telekomunikacii AD Orce Nikolov Str. b.b. SkopjeMK-91000 Macedonia Inst. of Automation and Systems Engg. Faculty of Electrical Engg. SS Cyril and Methodius University SkopjeMK-1000 Macedonia Department of Computer Engg. Faculty of Engineering DOGUS University Kadikoy-IstanbulTR-81010 Turkey Dept. of Automatic Control and Control Eng. School of Information Science and Engineering Northeastern University Shenyang Liaoning110006 China

ISBN: (纸本)9783952417362

Analysis of complex systems such as hierarchically structured network systems that are employed in modelling and analysis various aspects and issues of control and management in telecommunications is investigated. Theory of graphs and binary matrices appear to be most suitable tools for modelling the overall structure of complex systems, in general, and of systemic hierarchies, in particular. A systematic methodology has been developed for computer simulation analysis and detecting general hierarchies in communications networking as well as for synthesis of system hierarchies. This methodology is an improved extension of Warfield's technique. © 2001 EUCA.

关键词： Discrete event simulation

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Self-organizing control of urban traffic signal network

Self-organizing control of urban traffic signal network

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IEEE International Conference on systems, Man and Cybernetics

作者： K. Sekiyama J. Nakanishi I. Takagawa T. Higashi T. Fukuda Department of Human and Artificial Intelligent Systems Fukui University of Technology Fukui Japan Dept. of Human and Artificial Intelligent Systems Fukui University Fukui Japan Computer Science Department University of Southern California Los Angeles CA USA Dept. of Micro System Engineering Nagoya University Nagoya Aichi Japan Automated Systems Division Murata Machinery LTD Inuyama Japan Center for Cooperative Research in Advanced Science and Technology Nagoya University Nagoya Aichi Japan

This paper proposes a self-organizing control strategy of a signal network for urban traffic flows. The signal network is described using a system of nonlinear oscillators with the nearest neighborhood coupling. The natural frequency, split and coupling constants of the signals are adjusted dynamically according to local information of traffic flows so that the desired network offset patterns are self-organized through mutual entrainment. We provide a preliminary analysis of the coupled oscillator system. Numerical simulations demonstrate the effectiveness of the proposed method under dynamical environmental changes.

关键词： Communication system traffic control Traffic control Oscillators control systems Frequency Mutual coupling Numerical simulation Centralized control Learning Humans

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A design of an associative memory array processor for ultrasonograph image acquisition and processing

A design of an associative memory array processor for ultras...

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作者： Aly, Gamal M. El-Nadi, Nabeel M. Fayed, Zaki T. Faheem, Hossam M. Dept. of Comp. and Control Systems Ain Shams University Faculty of Engineering Cairo Egypt Information Technology Institute Cairo Egypt Department of Computer Science Ain Shams University Fac. of Comp. and Info. Science Cairo Egypt

This paper describes a design of an associative memory array processor that can be used in the acquisition and processing of ultrasonograph images. The major concept is to design a parallel architecture that reduces task's execution time by analyzing multiple parts of the image concurrently. The architecture constitutes a distinctive type of single-instruction stream, multiple-data stream machine that is built around content-addressable associative memory slabs, that allow parallel access of multiple memory words. The basic building block of this architecture is a one-pixel processing element, which can perform the standard load (data acquisition) function and also contains some special comparison logic to enable its content to be compared with an external data. Several image processing operations are implemented in parallel, among them: component labeling, size filtering, pattern centralization, and pattern recognition. The proposed novel architecture can label specific regions into the image and isolate them intelligently. It is also capable of storing templates that may be considered as references for similar cases. The system is able to perform learning process and extract features from several input patterns and store the reference pattern in a slice. Moreover, the system is capable of comparing an input image with a pre-stored template during recognition process. The proposed architecture is of interest because it speeds up the recognition process and helps radiology specialists to write their reports confidently.

关键词： Ultrasonic imaging

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Algorithm for Three-Step Estimation of Transfer Function with Unknown Delay Steps and Order

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IFAC Proceedings Volumes 2000年第15期33卷 373-378页

作者： Mitsuki Mashino Fujio Ohkawa Kazushi Nakano Masayoshi Tomizuka Mechanics & Electronics Research Institute Fvkuoka Industrial Technology Center 3-6-1 Norimatsu Yahatanishi-ku Kitakyushu 807-0831 JAPAN Dept. of Control Engineering and Science Faculty of Computer & System Engineering Kyushu Institute of Technology Kawazu Iizuka 820-8502 JAPAN Dept. of Electronic Engineering The University of Electro- Communicatons 1-5-1 Chofu-ga-oka Chofu Tokyo 182-8585 JAPAN Dept. of Mechanical Engineering University of California at Berkeley 5100 B Etcheverry Hall Berkeley CA 94720-1740 USA

This paper deals with the estimation of an unknown process transfer function in the presence of colored measurement noise. A three-step estimation procedure has been previously developed for transfer functions, the delay steps and the orders of which are known in advance. The procedure is extended to deal with transfer functions with unknown delay steps and orders. The auto-correlation function of the error between the process output and model output is utilized for evaluating the model fitness. The effectiveness of the proposed method is demonstrated by a simulation study using a sample set of data in MATLAB.

关键词： colored noise I/O correlation information BCLS estimates parameter transformation MSE

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intelligent multi-modal systems

British Telecom technology journal

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British Telecom technology journal 1998年第3期16卷 134-144页

作者： Tsui, K.C. Azvine, B. Djian, D. Voudouris, C. Xu, L.Q. Hong Kong Polytechnic University Hong Kong University of Essex King's College London United Kingdom BT Laboratories United Kingdom ATM Traffic Management United Kingdom Manchester University United Kingdom Dynamics and Control Research Group Engineering Department Manchester University United Kingdom Contr. and Instrum. Research Group Staffordshire University United Kingdom Intelligent Systems Research Unit BT Laboratories United Kingdom Dept. of Engineering Mathematics Bristol University United Kingdom Europ. Netwk. Excellence U. Institut d'Informatique d'Entreprise France Oxford University Robotics Research Group United Kingdom University of Nice France Ecole des Mines de Paris France Natl. Technical University of Athens Greece University of Essex United Kingdom Department of Computer Science University of Essex United Kingdom Intelligent Systems Research Group BT Laboratories United Kingdom Southeast University Nanjing China Institute of Acoustics Chinese Academy of Sciences Beijing China University of East Anglia United Kingdom University of Sussex King's College London United Kingdom University of Abertay Dundee United Kingdom

Research in human/computer interaction has mainly focused on natural language, text, speech and vision primarily in isolation. Recently there have been a number of research projects that have concentrated on the integration of such modalities using intelligent reasoners. The rationale is that many inherent ambiguities in single modes of communication can be resolved if extra information is available. This paper describes an intelligent multi-modal system called the Smart Work Manager. The main characteristics of the Smart Work Manager are that it can process speech, text, face images, gaze information and simulated gestures rising the mouse as input modalities, and its output is in the form of speech, text or graphics. The main components of the system are the reasoner, a speech system, a vision system, an integration platform and the application interface. The overall architecture of the system will be described together with the integration platform and the components of the system which include a non-intrusive neural network based gaze-tracking system. The paper concludes with a discussion on the applicability of such systems to intelligent human/computer interaction and lessons learnt in terms of reliability and efficiency.

关键词： Learning systems

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Overview, current trends and latest results in estimating the effects of load modelling on power-system damping and stability

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EUROPEAN TRANSACTIONS ON ELECTRICAL POWER 1997年第2期7卷 107-113页

作者： Milanovic, JV [?]Jovica V. Milanovic (1967) received the Dipl.-Ing. (Elec.) and M.Sc. (Elec. Eng.) degrees from the University of Belgrade. Yugoslavia. in 1987 and I99 I respectively. One year he worked with “Energoproject-MDD”- Engineering and Contracting Co. in Belgrade as an engineer in designing power plants and substations. In late 1988 hejoined the Faculty of Electrical Engineering of the University of Belgrade first as an associate teaching assistant and then (since late 199 I) as teaching assistant at the Dept. of Power Converters and Drives. Between March 1993 and January 1996 he completed his Ph.D. at the University of Newcastle. Australia. at the Dept. of Electrical and Computer Engineering. Since February 1996 he is lecturer at the Department of Electrical Engineering and Computer Science at the University of Tasmania Austnlia. His major interests include synchronous machines and power system transients control and stability. (The University of Tasmania. Dept. of Electrical Engineering and Computer Science GPO Box 252-65 Hobart Tas 7001 Australia.Te1+61 362/262-753 Fax+61 369/262 136. e-mail: Jovica.Milanovic@eecs.utas.edu.au)

The paper presents the overview of load modelling for power-system damping and stability studies with main conclusions summarized from previous research. The attempt has been made to present a cross-section of the most exploited existing load models together with the most important conclusions drawn from their implementation in power-system stability programs. The current trends and latest results in the domain of damping of electromechanical oscillations in power systems are also presented. The effects of load dynamics on damping of electromechanical oscillations were analyzed on the basis of one of generic load models proposed in the past. The recent results further encourage investigation in this area and highlights the importance of proper load modelling.

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A Quick Identification Method of Continuous-Time Nonlinear systems and Its Application to Power Plant control

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IFAC Proceedings Volumes 1994年第8期27卷 283-288页

作者： K. Inoue K. Kumamaru Y. Nakahashi H. Nakamura M. Uchida Dept. of Control Engineering and Science Faculty of Computer Science and Systems Engineering Kyushu Institute of Technology Iizuka 820 Fukuoka Japan Bailey Japan Co. Ltd. Nirayama 410-21 Shizuoka Japan

In this paper, a quick identification method based on the short time record of input-output data is introduced for joint state and parameter estimation of nonlinear continuous-time systems. The method can then be used for on-line monitoring the system with unknown parameters. An application way of the method to main-steam temperature control of a thermal power plant are developed in the framework of model reference adaptive control system (MRACS). Simulation studies on a super-heater model have been carried out to demonstrate the effectiveness of the proposed method.

关键词： Nonlinear system parameter estimation simulator system identification model reference adaptive control thermal power plant steam temperature control

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Theta: An object-oriented operating system for intelligent process monitoring

Theta: An object-oriented operating system for intelligent p...

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1991 Euromicro Workshop on Real-Time systems, ECRTS 1991

作者： Shirakawa, H. López Gúlliver, R. Inabayashi, S. Nakagawa, T. Dept. of Computer Science and Systems Engineering Faculty of Science and Engineering Ritsumeikan University Kita-ku Kyoto 603 Japan System Sougou Kaihatsu Co. Ltd. 28-23 Hongou 1-choume Bunkyou-ku Tokyo 113 Japan

ISBN: (纸本)0818622105

This paper describes an integrated intelligent monitoring system which is used in industries. This system is integrated by a controller, a real-time operating system, and a real-time expert system. The real-time object-oriented operating system Theta is described first. Secondly an integration of Theta on a VMEbus based controller and the real-time expert system ESPARON for dough mixing monitoring is explained. © 1991 IEEE.

关键词： Expert systems

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