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Intelligent Engineering Systems, 2008. INES 2008. International Conference on

Date 25-29 Feb. 2008

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Displaying Results 1 - 25 of 57
  • Author's index

    Page(s): 293
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  • [Copyright notice]

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  • [Front cover]

    Page(s): C1
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  • 12th International Conference on Intelligent Engineering Systems

    Page(s): 2
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  • Table of contents

    Page(s): 3 - 6
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  • Welcome Message from the General Chairs

    Page(s): 7
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  • Application Oriented Intelligence Control; Survey and Future Perspectives

    Page(s): 11
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    Intelligence control is the control based on Computational Intelligence Technology that covers fuzzy logic, neural networks, and evolutionary computation. The world first industrial application example can be seen in the cement kiln control developed by F.L.Smith Inc (Denmark) in 1979. After that, many (i.e., more than several hundred) intelligence control applications have been announced in various fields. Such R&D histories are surveyed by showing many photos/illustrations, that will be a good help for application oriented young researchers in the field of intelligence control. The author has also been cooperated with industries in some of those industrial application examples. Such results, especially in the field of robotics applications, are mentioned by showing DVD video images. Lastly several on going projects in the author's laboratory are introduced such as NEDO next generation robotics project and stepping motor nano-drive control by referring their future perspectives. View full abstract»

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  • New Trends in Neural and Fuzzy Systems

    Page(s): 9
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    In the presentation other than MLP neural networks are discussed. It is shown that it is possible to obtain the same function with a significantly smaller number of neurons, if ACN arbitrarily connected neurons are used. In some cases, the number of neurons could be reduced by half. Importantly, these simple architectures can also be trained faster. Unfortunately, most of popular neural network learning software is not able to handle ACN networks. A new neural network learning software is presented which works not only on arbitrary network architectures (including MLP) but neural networks can be trained about 100 times faster than if EBP algorithm is used. There are, of course, several neural network architectures which need not to be trained, or training process is minimal. These architectures usually employ a larger number of neurons; there are no training problems. These special network architectures are discussed in detail and compared. In the case of fuzzy systems the smooth control surface can be obtained with fuzzy neural networks, but again the architecture and processing time of these networks can be significantly reduced with the presented new approach to neuron-fuzzy systems. View full abstract»

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  • Boundary Control of a Vibrating FGM Rectangular Plate

    Page(s): 13 - 18
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    This paper presents a solution to the boundary stabilization of a FGM plate in free transverse vibration. The composite laminated plate dynamics is presented by a linear forth order partial differential equation (PDE). A linear control law is constructed to stabilize the plate. The control force consists of feedback of the velocity at the boundaries of plate. The novelty of this article is that it is possible to stabilize asymptotically a free transversely vibrating composite plate with simply supported or clamped boundary condition via boundary control without resorting to truncation of the model. View full abstract»

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  • Boundary Control of Vibration Of General Composite Laminated Plate

    Page(s): 19 - 24
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (445 KB) |  | HTML iconHTML  

    This paper presents a solution to the boundary stabilization of a general composite laminated plate in free transverse vibration. The composite laminated plate dynamics is presented by a linear forth order partial differential equation (PDE). A linear control law is constructed to stabilize the plate. The control force consists of feedback of the velocity at the boundaries of plate. The novelty of this article is that it is possible to stabilize asymptotically a free transversely vibrating composite plate with simply supported or clamped boundary condition via boundary control without resorting to truncation of the model. View full abstract»

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  • Analysis of the Fixed Point Transformation Based Adapive Robot Control

    Page(s): 25 - 30
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (676 KB) |  | HTML iconHTML  

    In this paper the properties of a novel adaptive nonlinear control recently developed at Budapest Tech for "Multiple Input-Multiple Output (MIMO) Systems" is compared with that of the sophisticated "Adaptive Control by Slotine & Li" widely used in robot control literature. While this latter traditional method utilizes very subtle details of the structurally and formally exact analytical model of the robot in each step of the control cycle in which only the exact values of the parameters are unknown, the novel approach is based on simple geometric considerations concerning the method of the "Singular Value Decomposition (SVD)". Furthermore, while the proof of the asymptotic stability and convergence to an exact trajectory tracking of Slotine's & Li's control is based on "Lyapunov's 2nd Method", in the new approach the control task is formulated as a Fixed Point Problem for the solution of which a Contractive Mapping is created that generates an Iterative Cauchy Sequence. Consequently it converges to the fixed point that is the solution of the control task. Besides the use of very subtle analytical details the main drawback of the Slotine & Li method is that it assumes that the generalized forces acting on the controlled system are exactly known and are equal with that exerted by the controlled drives. So unknown external perturbations can disturb the operation of this sophisticated method. In contrast to that, in the novel method the computationally relatively costly SVD operation on the formally almost exact model need not to be done within each control cycle: it has to be done only one times before the control action is initiated. In the control cycle the inertia matrix is modeled only by a simple scalar. In a more general case the SVD of some approximate model can be done only in a few typical points of the state space of a Classical Mechanical System. To illustrate the usability of the proposed method adaptive control of a Classical M- echanical paradigm, a cart plus crane plus hamper system is considered and discussed by the use of simulation results. View full abstract»

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  • Study of Internal Dynamics Stability and Regulation of Globular- Spray Mode of GMAW Process via MIMO Feedback-linearization Scheme

    Page(s): 31 - 36
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    In this paper, stability and internal dynamics for a gas metal arc welding (GMAW) process will be studied. GMAW process is considered as a nonlinear MIMO system and input-output feedback linearization method will be applied for control purposes. Internal dynamics is the unobservable part of the system dynamics; its stability analysis is a vital step in the investigation of the system stability as a whole. Also, Simulations results are presented to illustrate the system performance. View full abstract»

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  • Digital Electronic Control of a Small Turbojet Engine - MPM 20

    Page(s): 37 - 40
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    Small turbojet engines represent a special class of turbine driven engines. They are suitable for scientific purposes and research of certain thermodynamic processes ongoing in turbojet engines. Moreover such engines can be used for research in the area of alternative fuels and new methods of digital control and measurement. Our research, which is also presented in this article, is headed toward these aims. We evaluate and propose a system of digital measurement of a particular small turbojet engine - MPM 20. Such engine can be considered as highly non-linear large scale system. According to obtained data and experiments we propose different model models of the engine and design of situational control algorithms for the engine with use of certain methods of artificial intelligence as new methods of control and modeling of large scale systems. View full abstract»

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  • Hardware-software Codesing of Feature Tracking Algorithms

    Page(s): 41 - 45
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1643 KB) |  | HTML iconHTML  

    Relative motion of camera and environment results in such visual cues, which may characterize 3D motion as well as the 3D structure of the a-priori unknown environment. 3D navigation includes both tasks: motion and 3D structure estimation. Earlier we showed that navigation can be based on the KLT algorithm where feature-type visual cues (e.g. corners) are selected and tracked throughout the video frame sequence. Reliability and real-time feature of 3D reconstruction mainly depends on the specificities of selected algorithms and design metrics of implementation technology. The paper first summarizes the theoretical background of the KLT feature tracking algorithm. Then hardware-software partition alternatives are evaluated in more detail resulting in FPGA implementations optimizing speed and cost. The pipeline structure of the hardware proved to be necessary due of the great amount of data which should be processed continuously as fast as possible. This work has been motivated by various real-time applications described in other papers. [8], [9]. View full abstract»

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  • Content Orientated Identification of Changed Objects During the Definition of Product Representations

    Page(s): 47 - 52
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (169 KB) |  | HTML iconHTML  

    Change of product engineering for virtual space has resulted ability of free and unlimited definition of engineering objects and their relationships in product models. However, the decision maker is still the engineer who needs additional computer assistance at revealing effects of a new or changed engineering object on existing engineering objects. Because high number of model entities and their relationships has to be surveyed, intelligent assistance of decisions from modeling procedures is unavoidable. A method is introduced in this paper as a possible solution for intelligent assistance of decisions on engineering objects considering their impacts on other engineering objects. The authors applied the method of description of information content as an extension of the present modeling in industrial product lifecycle management systems. In this paper, information content based modeling is introduced and an emphasis is placed on explanations to connect the new proposed model with the presently applied and well-proved product model. First, relevant issues in virtual space based engineering are discussed. Following this, a new concept is introduced for the processing of dependencies in product model. Next, information content as a new component of product model is outlined in the context of classical data based product model. Finally, implementation of the proposed modeling as an extension to product lifecycle management systems is explained. View full abstract»

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  • Optimal Lot Streaming for FMS Scheduling of Flow-Shop Systems

    Page(s): 53 - 58
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    This paper deals with the scheduling problem of flexible manufacturing systems (FMS). The new contribution of the present paper is applying a brute force method (BFM) and joinable schedule approach (JSA) to FMS scheduling problems for multi-machine, multi-job flow shop systems (FSS). the purpose is to realize the minimum of maximum production time (makespan) close to global minimum in order to obtain optimal lot streaming (LS) thus improving system utilization. Independent sequence setup time is considered. A comparison study is performed. Numerical example is given. New results are presented and a general mathematical model of optimal LS for FMS scheduling problems of FSS is developed. View full abstract»

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  • Design of a Calibration System for Measuring Probes

    Page(s): 59 - 62
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (284 KB) |  | HTML iconHTML  

    The probe is a major component of CMM. New high precision designs are available. In the corresponding literature little information can be found about the 3D calibration of these probes. The paper gives an overview of the novel probe designs, outlines the construction of a 3D calibration system, discusses it's error sources, their contribution to the measuring uncertainty. A facility has been developed to calibrate analogue probes to an accuracy of 0,02 mum. A high precision three-axis translation stage moves the probe stylus and the position of the stage is determined by three mutually-orthogonal plane mirror laser inter-ferometer transducers. The coordinates indicated by the probe are compared with the co-ordinates indicated by the interferometers and the errors of the probe are then calculated. The working volume of is 100 times 100 times 100 mum. The full measurement strategy and design considerations are discussed and results are given to demonstrate its performance. View full abstract»

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  • Wavelet Based Neural Network Solution for Forward Kinematics Problem of HEXA Parallel Robot

    Page(s): 63 - 70
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (442 KB) |  | HTML iconHTML  

    Forward kinematics problem of parallel robots is very difficult to solve in comparison to the serial manipulators because of the highly nonlinear relations between joint variables and position and orientation of the end effector. This problem is almost impossible to solve analytically. Numerical methods are one of the common solutions for this problem. But, convergency of these methods is the drawback of using them. In this paper, wavelet based neural network (wave-net) approach is used to solve the forward kinematics problem of the HEXA parallel manipulator. This problem is solved in the typical workspace of this robot. Simulation results show the advantages of employing wavelet neural networks in enhancement of convergency and decreasing modeling errors. View full abstract»

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  • Modeling Passive Greenhouses. The Sun's Influence

    Page(s): 71 - 75
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    The paper is proposing a basic mathematical model of the solar effect in greenhouses, by means of the coefficient of the greenhouse effect that is linking the light intensity and the internal temperature of the greenhouse. The model is integrated into a structural deterministic model of a passive greenhouse. View full abstract»

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  • Passive Greenhouses and Ecological Reconstruction

    Page(s): 77 - 81
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    This paper is discussing the ecological reconstruction opportunity opened by the extended use of the energetic passive greenhouses, independent of any conventional infrastructure (water, gas, electricity). A specific passive greenhouse configuration is considered: the main heating device is a heat pump extracting energy from cold underground water. A dc wind generator is supplying the small amount of energy necessary for the recirculation of the water. Solar panels are also included. The extensive use of passive greenhouses could significantly change the future agriculture: the replacement of the huge cereal cultivated surfaces by forests, orchards and pastures. This way the Earth vegetal matter will substantially increase the absorption of the CO2 from the atmosphere. A structural model of the passive greenhouse is proposed. View full abstract»

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  • Number Archetypes in System Realization Theory Concerning the Fine Structure Constant

    Page(s): 83 - 92
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    In this paper we analyze in detail the central role of number '137', the so-called fine structure constant in the collaboration of Pauli and Jung. First, we present the fascination or the obsession of Pauli for the interpretation of number '137'. Second, we treat the spontaneous messages originating from unconscious concerning number '137' in the well-known dreams of Pauli. We restrict our investigations to the dreams containing the especially important formulae of fine structure constant (4pi3 + pi2 + pi), and also that containing the so-called background models of mathematical control systems. Third, we shortly mention four of the numerous synchronicities arising during the Pauli-Jung collaboration. View full abstract»

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  • Stator-Field Oriented Control of the Synchronous Generator: Numerical Simulation

    Page(s): 93 - 98
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    The paper deals with the vector control system of the high power synchronous generators with exciting- and damper windings, realized according to the resultant stator-field orientation principle. There are treated two simulation structures based on the "generator" and "motor" model" of the synchronous machines, both used for generator operation mode. The simulations are made with the both dynamic machine model controlled with the same vector control structure. View full abstract»

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  • Model Based Concept for Higher Education on the Way Towards Highly Integrated Solutions in Computer Systems

    Page(s): 99 - 102
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    This paper evaluates the concept in which main stages of development of distance education are defined as conventional distance education, conventional virtual classroom, and model based virtual classroom. The evaluated method applies modeling procedures for the description of classroom objects, student profiles, and adaptive actions. Considering arbitrary relationships between attributes of objects described by entities, information for any situation can be recorded in a unified structure where any recorded information can be recalled, modified and completed at any time. A new method is referred in which virtual classroom is applied together with industrial engineering system and one of the recent virtual classroom frameworks. Two extensions are applied, one for the virtual classroom framework, the other for the engineering system. Student projects are analyzed as that are established using Internet portal and group work functionality. View full abstract»

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  • Accelerated Evolutionary Algorithm with Second-order Enhancement

    Page(s): 103 - 108
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    The paper describes a multiobjective optimization method which combines a second order algorithm with an enhanced evolutionary search in order to obtain a set of points which lie on the Pareto-optimal front. The second order portion of the method makes use of a "quasi-Jacobian" modification of the Levenberg-Marquardt algorithm, while the evolutionary portion involves a population based search which follows a Pareto defined "gradient." Both methods are described in detail, and experimental results are included. View full abstract»

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  • A Neural Network Implementation on an Inexpensive Eight Bit Microcontroller

    Page(s): 109 - 114
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    The paper describes a neural network implementation on a low end and inexpensive microcontroller. It also describes the method of using a simple hardware multiplier to generate multibyte accurate results. An activation function that is equivalent to tangent hyperbolic is also described. An example is shown using an inexpensive eight bit microcontroller is used for a nonlinear control surface. View full abstract»

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