检索结果-内蒙古大学图书馆

Start-Up of Process Plants by Conservative Learning Based Qualitative Reasoning

IFAC Proceedings Volumes 1994年第3期27卷 301-306页

作者： Zs. Csáki K.M. Hangos Systems and Control Laboratory Computer and Automation Institute Hungarian Academy of Sciences 1518 Budapest P.O.Box 63. Hungary

A model conservative learning method is proposed in this paper which is able to transfer knowledge between different qualitative differential equation models of the same szstem. This is an essentialstep of generating operating procedures when multiple models with overlapping validity regions must be used to describe the controlled szstem over a wide operating range. The method is based on our previous results on introducing learning into Extended Qualitative Simulation by Bayesian identification and output prediction.

关键词： Qualitative Reasoning learning process control Bayesian identification start-up procedures

来源：评论

学校读者我要写书评

暂无评论

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

引用

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

来源：评论

学校读者我要写书评

暂无评论

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

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

引用

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

来源：评论

学校读者我要写书评

暂无评论

System identification with generalized orthonormal basis functions

System identification with generalized orthonormal basis fun...

引用

IEEE Conference on Decision and control

作者： P.M.J. Van den Hof P.S.C. Heuberger J. Bokor Mechan. Engin. Systems and Control Group Delft University of Technnology Delft Netherlands National Institute of Public Health and Environmental Protection (RIVM) Bilthoven Netherlands Computer and Automation Research Institute Hungarian Academy of Sciences (ATOMKI) Budapest Hungary

A least squares identification method is studied that estimates a finite number of expansion coefficients in the series expansion of a transfer function, where the expansion is in terms of generalized basis functions. The basis functions are orthogonal in H/sub 2/ and generalize the pulse, Laguerre and Kautz (1954) bases. The construction of the basis is considered and bias and variance expressions of the identification algorithm are discussed. The basis induces a new transformation (Hambo transform) of signals and systems, for which state space expressions are derived.< >

关键词： System identification Transfer functions Least squares approximation Automatic control control systems Network address translation Public healthcare automation State-space methods Hilbert space

来源：评论

学校读者我要写书评

暂无评论

Identification with Generalized Orthonormal Basis Functions - Statistical Analysis and Error Bounds

引用

IFAC Proceedings Volumes 1994年第8期27卷 1169-1174页

作者： P.M.J. van den Hof P.S.C. Heuberger J. Bokor Mechanical Engineering Systems and Control Group Delft University of Technology Mekelweg 2 2628 CD Delft The Netherlands National Institute of Public Health and Environmental Protection (RIVM) P.O. Box 1 3720 BA Bilthoven The Netherlands Computer and Automation Research Institute Hungarian Academy of Sciences Kende u. 13-17 H 1502 Budapest Hungary

A least squares identification method is studied that estimates a finite number of expansion coefficients in the series expansion of a transfer function, where the expansion is in terms of recently introduced generalized basis functions. The basis functions are orthogonal in H 2 and generalize the pulse, Laguerre and Kautz bases. One of their important properties is that when chosen properly they can substantially increase the speed of convergence of the series expansion. This leads to accurate approximate models with only few coefficients to be estimated. Explicit bounds are derived for the bias and variance errors that occur in the parameter estimates as well as in the resulting transfer function estimates.

关键词： System identification orthogonal basis functions FIR models linear regression modelling errors system approximation

来源：评论

学校读者我要写书评

暂无评论

HIGH-SPEED CHARACTER-RECOGNITION USING A DUAL CELLULAR NEURAL-NETWORK ARCHITECTURE (CNND)

引用

IEEE TRANSACTIONS ON CIRCUITS AND systems II-EXPRESS BRIEFS 1993年第3期40卷 223-231页

作者： SZIRANYI, T CSICSVARI, J Analogic and Neural Computing Systems Research Laboratory Computer and Automation Institute Hungarian Academy of Sciences (ATOMKI) Budapest Hungary

An effective new character recognition procedure implemented on a new type of hardware system is proposed. This procedure applied a new architecture, called CNND. This CNND contains one or more analog cellular neural Networks (CNN) and some digital logic, incorporating the advantages of the fast analog CNN signal processing and the fast and easy decision capability of digital logics. This paper shows that this CNND system can be used for recognition of multifont printed or handwritten characters. Implemented in hardware, the system could hit the 100 000 char/s recognition speed with a recognition rate of more than 95 %. We show that the CNN results of pictures (maximum 40 * 40 pixels) of printed characters can be coded into about n * 20 bits (n = 2 ... 6) , so the coded results can be used to address memories of about 1 MB. The codes of CNN results of possible character pictures are used to address the memories while the memory contents are filled by the character categories. Prior to the hardware implementation the decision memories are filled by the results of recognition simulation for the possible pictures of each character-class in a filling procedure. In the memory filling procedure the simulated recognition uses a new random-type nearest neighbor (NN) method, which is ideal for the recent proposal of hardware applications. Recognition of handwritten characters is demonstrated in the same system with good recognition accuracy.

关键词： Character recognition Cellular neural networks Image edge detection Handwriting recognition Neural networks Detectors Logic Hardware Charge coupled devices Filling

来源：评论

学校读者我要写书评

暂无评论

Grey Dynamics of Heat Exchanger Networks

引用

IFAC Proceedings Volumes 1993年第2期26卷 493-498页

作者： E.I. Varga J. Bokor K.M. Hangos Systems and Control Laboratory Computer and Automation Research Institute of Hungarian Academy of Sciences H-1518 Budapest POB 63 Hungary

A robust modeling method of Heat Exchanger Networks (HENs) with structured parametric perturbations has been described in this paper which results in a LFT form. The LFT of the overall HEN system can be generated algorithmically from the model of the heat exchangers and from the network topology. Based on these modeling paradigms the effect of uncertainties represented by specific Δ block structures have been analysed by frequency domain n analysis in order to get an insight into the causes of potential large overshoot-type responses. The proposed method has been illustrated on the simple example of a countercurrent heat exchanger with by-pass.

关键词： Process models heat exchangers chemical industry modeling state space system analysis robustness dynamics of HENs parametric uncertainty modeling μ analysis

来源：评论

学校读者我要写书评

暂无评论

Design of Active Suspension System in the Presence of Physical Parametric Uncertainties

Design of Active Suspension System in the Presence of Physic...

引用

American control Conference (ACC)

作者： Laszlo Palkovics Peter Gaspar Jozsef Bokor Department of Road Vehicles Technical University of Budapest Budapest Hungary System and Control Laboratory Computer and Automation Research Institute Hungarian Academy of Sciences (ATOMKI) Budapest Hungary

The purpose of the paper is to study the design of the active wheel suspension system. The goal of the control design is the disturbance attenuation with respect to the road disturbances when some of the physical parameters of the system are uncertain. On the basis of a linear quarter-car model the tire stiffness and suspension stiffness are assummed to be uncertain. In this paper the authors deal with some new robust design methods. They examine the applicability of H ∞ control in case of the active suspension system using a quarter-car model. The problem is solved as a direct state-feedback H ∞ control problem and in case of structured uncertainties as an RLQR (Robust LQR) design task. On the basis of combination of these two methods new procedure is proposed.

关键词： Uncertainty control systems Actuators Wheels control design Robustness Vehicle dynamics Vehicles control system synthesis Tiles

来源：评论

学校读者我要写书评

暂无评论

Modeling Time Varying System Perturbations: Application to Robust Change Detection and Identification

引用

IFAC Proceedings Volumes 1993年第2期26卷 519-522页

作者： L. Keviczky J. Bokor F. Szigeti A. Edelmayer Systems and Control Laboratory Computer and Automation Institute Hungarian Academy of Sciences H-1518 Budapest XI Kendeu. 13-17. P.D. Box 63 Hungary Department of Applied Analysis. Eötvös Loránd University H-1062 Budapest Múzeum krt. 6 Hungary

This paper discusses the problem of modeling time varying system perturbations and its application to observer-based detection filter design in uncertain linear systems. Robustness issues with respect to structured time varying system perturbations are considered. Our basic contribution is that applying differential algebraic methods and matrix lie-algebra in describing the effect of them varying system perturbation, it is possible to construct an extended linear time invariant(LTI) system and associated observer such that the solution of the design problem can be performed using algebraic methods and geometric concepts similar to the case of time invariant situations. At the same time the filter can be made robust with respect to these perturbations.

关键词： controllability Detection filters Differnttial algebra Time-varying systms Matrix Lie-algebra Robust detection filtter design

来源：评论

学校读者我要写书评

暂无评论

An approach to the direct analysis of transient stability

引用

European Transactions on Electrical Power 1993年第3期3卷 241-248页

作者： Djukanovic, M.B. Sobajic, D.J. Pao, Y.‐H. Miodrag B. Djukanovic (1959) received his B.S. M.Sc. and Ph.D. degrees in Electrical Engineering from the University of Belgrade/Yugoslavia in 1982 1985 and 1992 respectively specializing in electric power systems. In 1984 he joined the Electrical Engineering Institute “Nikola Tesla” in Belgrade where he was working on the scientific studies in the field of power systems planning operation and control. In 1985 and 1990 he was appointed as a research scholar at the Royal Institute of Technology Stockholm and Case Western Reserve University Cleveland Ohio. His major in- terests are in the area of power system analysis steady-state and dynamic security and application of neural networks in electric power systems. (Electrical Engineering Institute “Nicola Tesla” ul. Koste Glavinica 8A YU-11000 Belgrad T +3811/2351-619 Fax + 3811/2351-823) Dejan J. Sobajic (1949) received the B.S.E.E. and the M.S.E.E. degrees from the University of Belgrade/Yugoslavia in 1972 and 1976 respectively and the Ph.D. degree from Case Western Reserve University Cleveland Ohio in 1988. At present he is with the Department of Electrical Engineering and Applied Physics Case Western Reserve University Cleveland. He is also the Engineering Manager of A1 WARE Inc. Cleveland. His current research interests include power system operation and control neuralnet systems and adaptive control. He is a member of the IEEE Task Force on Neural-Network Applications in Power Systems and of the IEEE Intelligent Controls Committee. He is the Chairman of the International Neural-Networks Society Special Interest Group on Power Engineering. (Case Western Reserve University Department of Electrial Engineering and Computer Sciences Glennan Building Ohio 44 106 USA T + 1216/421-2380 Fax +1216/368-8776) Yoh-Han Pao (1922) has been a Professor of Electrical Engineering and Computer Science at Case Westem Reserve University (CWRU) Cleveland Ohio since 1967. He has served as chairman of the University's Electrical Engineering Department

The Transient Energy Function (TEF) method has been intensely investigated over the last decade as a reliable and accurate tool for transient stability assessment of multimachine power systems. In this paper we propose the Potential Energy Boundary Surface (PEBS) based method for direct analysis of transient stability. The critical value of transient energy and the Critical Clearing Time (T_CCT) are evaluated without the need for successive calculation and memorization of the system kinetic and potential energy values along the sustained fault trajectory. The method is used for determination of output features in the training phase of the neural‐net based transient security assessment. The proposed approach is tested on the well‐known ten‐generator New England test system demonstrating the validity and accuracy of obtained results. Copyright © 1993 John Wiley & Sons, Ltd.

关键词：

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：