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Parameter Estimation of US Macroeconomic Alternative Models

IFAC Proceedings Volumes 1997年第21期30卷 169-174页

作者： Jan Štecha Kateřina Satoriová Osvald Vašíček Jan Štecha Department of Automatic Control Faculty of Electrical Engineering Czech Technical University of Prague Charles Square 13 121 35 Prague 2 Kateřina Satoriová Department of applied Mathematics Faculty of Economics and Administration Masaryk University Zelný trh 2/3 65790 Brno Kateřina Satoriová Department of Economics Management and Academic Sciences Faculty of Electrical Engineering Czech Technical University of Prague Zikova 2 160 00 Prague 6

Simple model of US macroeconomy is considered in this paper. Extended Kalman filter is used for state and parameter estimation of this simple macroeconomic model. Smoothing procedure is also used to obtain estimates conditioned by whole set of data. Alternative models of parameter development are used and their probability is evaluated based on the given data. Some interesting results are obtained.

关键词： Macroeconomic models Kalman filter Smoothing Alternative models Bayesian approach

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Analysis of deadlocks and circular waits using a matrix model for discrete event systems

Analysis of deadlocks and circular waits using a matrix mode...

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IEEE Conference on Decision and control

作者： F.L. Lewis S. Bogdan A. Gurel O. Pastravanu Automation and Robotics Research Institute University of Texas Arlington Worth TX USA Faculty of Electrical Engineering and Computer University of Zagreb Zagreb Croatia Department Automatic Control and Ind. Inf Polytechnic Institute Iasi Romania

A new matrix rule-based model of discrete-part discrete event systems is given that, together with the well-known Petri net marking transition equation, yields a complete matrix-based dynamical description of these systems. In this application to deadlock analysis, the exact relations between circular blockings and deadlocks are given for a large class of reentrant flow lines. Explicit matrix equations are given for online dynamic deadlock analysis in terms of circular blockings, and certain 'critical siphons' and 'critical subsystems'. This allows efficient dispatching with deadlock avoidance using a generalized kanban scheme. For the class of flow lines considered, the existence of matrix formulae shows that deadlock analysis is not NP-complete, but of polynomial complexity.

关键词： System recovery Discrete event systems Equations Dispatching Robotics and automation Petri nets Manufacturing Bills of materials Assembly Lifting equipment

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Developing a prototype concurrent design tool for composite topside structures

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NAVAL ENGINEERS JOURNAL 1997年第3期109卷 279-290页

作者： Dirlik, S Hambric, S Azarm, S Marquardt, M Hellman, A Bartlett, S Castelli, V Steve Dirlik:began his career at the Naval Surface Warfare Center Carderock Division in 1981 as an aerospace engineer co-op student. He completed his bachelor of science degree in aeropace and ocean engineering from Virginia Polytechnic Institute and State University in 1985 and his master of science degree in aerospace engineering from the University of Maryland in 1990. Mr. Dirlik recently completed a master of science program in applied physics at The Johns Hopins University and currently works in the Radar Cross Section and Target Physics Branch of the Signatures Directorate at the Naval Surface Warfare Center Corderoke Division. He has worked on Navy low observable programs since 1990. Stephen Hambric:is a research associate at the Applied Research Laboratory at The Pennsylvania State University. He received his B. S. and M.S. degree in mechanical engineering from Virginia Polytechnic Institute and State University and his D. Sc. in mechnical engineering from the George Washington University. He has worked on several computer aided multidiscikplinary design and optimization projects over the years including an automated propeller design system and a structural acoustic optimization capability. Dr. Shpour Azarm:is currently working as an associate professor with the Design and Manufacturing Group of the Department of Mechanical Engineering at the University of maryland at College Park. Dr Azarm's expertise is in the areas of optimization-based designed and concurrent design and optimization of multidisciplinary systems. He was a consultant at Black & Decker Corporation (summer 1996) and worked as a Navy senior summer faculty fellow (summer 1995) and a NASA summer faculty fellow (summer 1994). He was a visiting scientist at NASA Langley Research Center for Multidisciplinary Analysis and Applied Structural Optimzatiom at the University of Siegen in Germany (spring 1992) and the Design Institute of the Technical University of Denmark (summer 1990). Dr Azarm was an associate technical editor of the ASME Jour

A prototype concurrent engineering tool has been developed for the preliminary design of composite topside structures for modern navy warships. This tool, named GELS for the Concurrent engineering of Layered Structures, provides designers with an immediate assessment of the impacts of their decisions on several disciplines which are important to the performance of a modern naval topside structure, including electromagnetic interference effects (EMI), radar cross section (RCS), structural integrity, cost, and weight. Preliminary analysis modules in each of these disciplines are integrated to operate from a common set of design variables and a common materials database. Performance in each discipline and an overall fitness function for the concept are then evaluated. A graphical user interface (GUI) is used to define requirements and to display the results from the technical analysis modules. Optimization techniques, including feasible sequential quadratic programming (FSQP) and exhaustive search are used to modify the design variables to satisfy all requirements simultaneously. The development of this tool, the technical modules, and their integration are discussed noting the decisions and compromises required to develop and integrate the modules into a prototype conceptual design tool.

关键词： Warships

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Intelligent controller design for the ship steering problem

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IEE PROCEEDINGS-control THEORY AND APPLICATIONS 1996年第1期143卷 17-24页

作者： Enab, YM Faculty of Engineering Automatic Control & Computer Engineering Department El-Mansoura University El-Mansoura Egypt

The reason for the present upsurge of interest in intelligent control is that the present generation of control systems are incapable, to a greater or lesser extent, of dealing with problems of a certain complexity. Fortunately, the human operator (HO) is often expert in keeping the complex control systems on the right track. In this paper a method for controller design has been investigated based on a concept of developing a mathematical model for HO behaviour. The method treats HO behaviour as a dynamic process by itself, transformed from the unknown dynamics of the ship to be controlled. The method of controller design entails observing the human controller, constructing a model of the human controller, and using that model as a basis for an automatic control system. During the observation phase the HO controls the ship and the data representing the state of the ship and human actions are registered. During the modelling phase, a human operator behaviour model (HOBM) is constructed as a neural network and its parameters are estimated. During the testing phase, the HOBM controls the ship and its performance is evaluated under the observation phase conditions and completely different conditions. The method has been successfully applied using computer simulation for the ship steering problem.

关键词： man-machine systems intelligent control neural networks learning systems

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Weight Selection in the LQ-Problem with Finite Final Time

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IFAC Proceedings Volumes 1996年第8期29卷 117-122页

作者： Cornelia Botan Călin Belta Dept.of Automatic Control and Industrial Informatics Faculty of Automatic Control and Computer Science “Gh.Asachi” Technical University of laşi România

The paper indicates an analytic computing relation for the solution to Riccati differential matrix equation and -based on that- it establishes the weight matrices influence on the solution of the equation and on the LQ-Problem’s criterion minimum value either. It indicates also an efficient way for the optimal controller implementation.

关键词： optimal control linear quadratic controller implementation weight matrix

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Modeling of dynamic systems

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automatica 1996年第6期32卷 946-947页

作者： J. Štecha Czech Technical University Faculty of Electrical Engineering Department of Automatic Control Charles Square 13 12135 Prague Czech Republic

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An application of temperature controlling

An application of temperature controlling

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Mediterranean Electrotechnical Conference (MELECON)

作者： B.T. Akgun Electrical and Electronics Faculty department of Control and Computer Engineering Istanbul Technical University Istanbul Turkey

In this paper, a microcontroller-based temperature controller for furnaces and ovens is introduced. Improvements are attained on the two basic problems of the controllers in naturally-cooled furnaces, namely, the oscillations caused by integral control and the variation in system parameters depending on the materials inside the furnace. A low-cost microcontroller is used for the effectiveness and simplicity of the control algorithm.

关键词： Temperature control control systems Temperature sensors Temperature measurement Sensor systems Artificial intelligence Error correction System testing Electrical resistance measurement Costs

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Design of optimum fuzzy controller using genetic algorithms

Design of optimum fuzzy controller using genetic algorithms

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Mediterranean Electrotechnical Conference (MELECON)

作者： I. Eksin O.K. Erol Electrical and Electronics Faculty Control and Computer Engineering Department Technical University Istanbul Istanbul Turkey

This paper describes a new method for determining optimal fuzzy controller decision table. By the use of genetic algorithm the need for heuristic fuzzy rules is omitted. The advantages and limitations of the method described are discussed. Simulations have been carried out to demonstrate the effectiveness of the new method, and the results are compared with a classical PID controller to show the improvement in performance.

关键词： Algorithm design and analysis Fuzzy control Genetic algorithms Organisms control systems Process control Three-term control Nonlinear control systems automatic control Shape control

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Robust Fault Detection Using Index of Kullback Discrimination Information

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IFAC Proceedings Volumes 1996年第1期29卷 6524-6529页

作者： K. Kumamaru J. Hu K. Inoue T. Söderström Department of Control Engineering and Science Faculty of Computer Science and Systems Engineering Kyushu Institute of Technology Iizuka 820 Fukuoka Japan. Department of Automatic Control and Systems Analysis Institute of Technology Uppsala University P.O.Box 27 Uppsala Sweden

This paper presents a robust fault detection system (FDS) for dynamic systems with unmodeled dynamics. In the FDS, umnodeled dynamics is first qualified as soft bound, which as well as model parameters are estimated using a robust identification algorithm. Then as a fault detection index, Kullback discrimination information (KDI) is derived into a feasible form and an index of umnodeled dynamics is also introduced. A decision making scheme is thus developed so that fault detection is carried out based on the KDI, the index of umnodeled dynamics and other prior information about the system.

关键词： Fault detection parameter identification stochastic modeling robust estimation uncertainty

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Adaptive robust robot control using BP-SMENs

Adaptive robust robot control using BP-SMENs

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IEEE International Conference on Industrial Technology (ICIT)

作者： S. Yildirim R. Demirci M.F. Sukkar V. Aslautas Robotics Research Laboratory Engineering Faculty Erciyes University Kayseri Turkey Electrical Department Technical Education Faculty Abant Izzet Baysal University Duzce Bolu Turkey Automatic Control and Industrial Electronics Department Electrical and Electronics Engineering Faculty Aleppo University Aleppo Syria

This paper presents the development of a new adaptive recurrent neural network for the control of a nonlinear system represented by a two-link SCARA type planar robot manipulator. The standard backpropagation algorithm is used to adjust the weights of the networks. The proposed control system consists of an inverse neural model of robot (INNM), an INNM-based neural controller, a robust controller, a conventional PI controller, and a second order linear filter. To evaluate the performance of the proposed control scheme and neural network, a simulated SCARA type robot was studied and the results showed how well the proposed controller can minimise the error between an actual and desired end-effector trajectory. From simulation examples, the robot trajectory tracking showed superior performance that is very attractive for real-time implementation and application in complex industrial tasks. For comparison, the standard computed torque method is employed for controlling the robot.

关键词： Programmable control Adaptive control Robust control Robot control Service robots Adaptive systems Recurrent neural networks Nonlinear control systems control systems Nonlinear systems

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