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CNC Machine Scheduling Problems with the Tool Aging

IFAC Proceedings Volumes 2008年第3期41卷 122-126页

作者： Adam Janiak Wladyslaw Janiak Radoslaw Rudek Agnieszka Wielgus Institute of Computer Engineering Control and Robotics Wroclaw University of Technology Janiszewskiego 11/17 50-372 Wroclaw Poland Faculty of Computer Science and Management Wroclaw University of Technology Lukasiewicza 5 50-371 Wroclaw Poland

The aging effect can be understood as a deterioration of a machine (tool) that increases a time required to manufacture products. It is highly desirable to minimize the negative influence of this effect, which in case of CNC machine is usually compensated by the increasing of its working speed. Therefore, although a tool efficiency decreases the processing times of jobs (products) can be still kept on the desired level. On the other hand, the increasing of a working speed cases the faster decreasing of a durability of a tool and its premature failure. In this paper, we focus on optimization problems in manufacturing systems, where occur the tool wear of CNC drilling/cutting machine and its compensation at the cost of a durability of a tool. We model such problems by single machine scheduling problems with the aging effect and additional resources with two criteria: time criterion (makespan and maximum lateness) and resource consumption penalty. The objectives are the minimization of time criteria under a given resource consumption and the minimization of resource consumption under a given time criteria. Computational analysis of these problems together with solution algorithms are provided.

关键词： Scheduling Deteriorating Resource allocation CNC Tool wear

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Accuracy Boosting Induction of Fuzzy Rules with Artificial Immune Systems

Accuracy Boosting Induction of Fuzzy Rules with Artificial I...

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International Multiconference on computer Science and Information Technology, IMCSIT

作者： Adam Kalina Edward Mezyk Olgierd Unold Value Based Advisors Sp. z o. o Wroclaw Poland Institute of Computer Engineering Control and Robotics Wroclaw University of Technology Wroclaw Poland

The paper introduces accuracy boosting extension to a novel induction of fuzzy rules from raw data using artificial immune system methods. Accuracy boosting relies on fuzzy partition learning. The modified algorithm w... 详细信息

关键词： Boosting Fuzzy systems Artificial immune systems Fuzzy sets Data mining Partitioning algorithms Genetic algorithms computer science Information technology control engineering computing

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Single machine scheduling with job ready and delivery times subject to resource constraints

Single machine scheduling with job ready and delivery times ...

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International Symposium on Parallel and Distributed Processing (IPDPS)

作者： Wladyslaw Adam Janiak Adam Janiak Marie-Claude Portmann Faculty of Computer Science and Management Wrocław University of Technology Wroclaw Poland Institute of Computer Engineering Control and Robotics Wrocław University of Technology Wroclaw Poland Ecole des Mines de Nancy Nancy France

The paper deals with a single machine scheduling problem with job processing times dependent on continuously-divisible resource, e.g. gas, power, energy, raw materials, catalyzer, financial outlay. Ready and delivery times are also given for each job. The problem is to find a schedule of jobs and resource allocation that minimize the time by which all jobs are delivered. Genetic approach, using some proved problem properties is constructed to solve the problem being strongly NP-hard. Analysis of some computational experiment and conclusion remarks are also given.

关键词： Single machine scheduling Resource management Job shop scheduling Paper technology Raw materials Processor scheduling Genetics Manufacturing processes computer science Energy management

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IEEE Transactions on Haptics: Editorial

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IEEE Transactions on Haptics 2008年第1期1卷 2-8页

作者： Edward Colgate, J. Lederman, Susan Prattichizzo, Domenico Barbagli, Federico Basdogan, Cagatay Buss, Martin Ernst, Marc Frisoli, Antonio Gillespie, Brent Grant, Danny Harders, Matthias Hayward, Vincent Jones, Lynette Kajimoto, Hiroyuki Kappers, Astrid Kheddar, Abderrahmane Lin, Ming C. MacLean, Karon Miller, Brian Noma, Haruo Okamura, Allison M. O'Malley, Mareia Ryu, Jeha Tan, Hong Z. Yokokohji, Yasuyoshi Department of Psychology School of Computing Queen's University Canada IEEE Robotics and Automation Society Tübingen Germany Stanford University's Computer Science Department Tübingen Germany Institute of Automatic Control Engineering Technische Universität München Germany Independent Research Group Multisensory Perception and Action Max Planck Institute for Biological Cybernetics Tübingen Germany Department of Applied Mechanics SSSA Japan Research Division Virtual Reality and Telerobotic Systems PERCRO Laboratory Japan Department of Mechanical Engineering Japan Department of Robotics McGill University Canada Computer Vision Lab ETH Zurich Japan Virtual Reality in Medicine Group Japan IEEE CS/RAS Technical Committee on Haptics Japan Department of Electrical and Computer Engineering McGill University Canada Department of Mechanical Engineering MIT Japan University of Electro-Communications Japan Department of Physics and Astronomy Utrecht University Netherlands University of Evry France Chapel Hill United States Department of Computer Science University of British Columbia Canada ATR Knowledge Science Lab United Kingdom Department of Mechanical Engineering Denmark Johns Hopkins University United States Laboratory for Computational Sensing and Robotics United Kingdom Engineering Research Center for Computer-Integrated Surgical Systems and Technology United States Mechanical Engineering and Materials Science Department Rice University United States Korea Republic of Department of Electrical and Computer Engineering Mechanical Engineering and Psychological Sciences Purdue University United States Department of Mechanical Engineering and Science Graduate School of Engineering Kyoto University Japan

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Multi-UAV Cooperative Fault Detection Employing Vision-Based Relative Position Estimation

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IFAC Proceedings Volumes 2008年第2期41卷 12093-12098页

作者： G. Heredia F. Caballero I. Maza L. Merino A. Viguria A. Ollero Robotics Computer Vision and Intelligent Control Group University of Seville Camino de los Descubrimientos s/n 41092 Seville Spain Pablo de Olavide University Crta. Utrera km. 1 41013 Seville Spain School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta 30332 USA

This paper presents a method to increase the reliability of UAV sensor fault detection in a multi-UAV context. The method uses additional position estimations that augment individual UAV fault detection system. These additional estimations are obtained using images from the same planar scene taken from two different UAVs. Since accuracy and noise level of the estimation depends on several factors, dynamic replanning of the multiUAV team can be used to obtain a better estimation in case of faults caused by slow growing errors of absolute position estimation that cannot be detected by using local FDI in the UAVs. Experimental results with data from two real UAVs are also presented.

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Investigation of fuzzy models for the valuation of residential premises using the KEEL tool

Investigation of fuzzy models for the valuation of residenti...

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8th International Conference on Hybrid Intelligent Systems, HIS 2008

作者： Lasota, Tadeusz Mazurkiewicz, Jacek Trawinski, Bogdan Trawinski, Krzysztof Agricultural University of Wroclaw Faculty of Environmental Engineering and Geodesy C.K. Norwida 25/27 50-375 Wroclaw Poland Wroclaw University of Technology Institute of Computer Engineering Control and Robotics Wybrzeze S. Wyspianskiego 27 50-370 Wroclaw Poland Wroclaw University of Technology Institute of Applied Informatics Wybrzeze S. Wyspianskiego 27 50-370 Wroclaw Poland Wroclaw University of Technology Faculty of Electronics Wybrzeze S. Wyspianskiego 27 50-370 Wroclaw Poland

ISBN: (纸本)9780769533261

A series of experiments aimed to generate and learn fuzzy models for the valuation of residential premises was conducted using the KEEL tool (Knowledge Extraction based on Evolutionary Learning). Four regression and four post-processing algorithms were applied to several data sets. They referred to sales/purchase transactions of residential premises, which were derived from the cadastral system and the registry of real estate transactions. The results proved the usefulness of the tool to carry out laborious and tedious investigation in a relatively short time. Further research is needed to determine to what extent data coming from such sources allow to build the real estate valuation models. © 2008 IEEE.

关键词： Housing

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Neural networks for disturbance and friction compensation in hard disk drives

Neural networks for disturbance and friction compensation in...

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IEEE Conference on Decision and control

作者： Chow Yin Lai Frank L. Lewis V. Venkataramanan Xuemei Ren Shuzhi Sam Ge Thomas Liew Centre for Life Sciences (CeLS) Graduate School for Integrative Sciences and Engineering (NGS) National University of Singapore Singapore Automation and Robotics Research Institute University of Texas Arlington Fort Worth TX USA Data Storage Institute Engineering Agency for Science Technology and Research Singapore Department of Automatic Control Beijing Institute of Technology Beijing China Department of Electrical and Computer Engineering National University of Singapore Singapore

ISBN: (纸本)9781424431236

In this paper, we show that the tracking performance of a hard disk drive actuator can be improved by using two adaptive neural networks, each of which is tailored for a specific task. The first neural network utilizes accelerometer signal to detect external vibrations, and compensates for its effect on hard disk drive position via feedforward action. In particular, no information on the plant, sensor and disturbance dynamics is needed in the design of this neural network disturbance compensator. The second neural network, designed to compensate for the pivot friction, uses a signum activation function to introduce nonlinearities inherent to pivot friction, thus reducing the neural network¿s burden of expectation. The stability of the proposed scheme is analyzed by the Lyapunov criterion. Simulation results show that the tracking performance of the hard disk drives can be improved significantly with the use of both neural networks compared to the case without compensation, or when only one of the networks is activated.

关键词： Neural networks Friction Hard disks Actuators Adaptive systems Feedforward neural networks Accelerometers Signal detection Stability analysis Stability criteria

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Investigation of Fuzzy Models for the Valuation of Residential Premises Using the KEEL Tool

Investigation of Fuzzy Models for the Valuation of Residenti...

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International Conference on Hybrid Intelligent Systems (HIS)

作者： Tadeusz Lasota Jacek Mazurkiewicz Bogdan Trawinski Krzysztof Trawinski Institute of Applied Informatics Wroclaw University of Technology Wroclaw Poland Faculty of Environmental Engineering and Geodesy Agricultural University of Wrocław Wroclaw Poland Wroclaw University of Technology Institute of Computer Engineering Control and Robotics Wrocław Poland Wrocław University of Technology Institute of Applied Informatics Wrocław Poland Faculty of Environmental Engineering and Geodesy Agricultural University Wroclaw Poland Faculty of Electronics Wrocław University of Technology Wrocław Poland

A series of experiments aimed to generate and learn fuzzy models for the valuation of residential premises was conducted using the KEEL tool (knowledge extraction based on evolutionary learning). Four regression and four post-processing algorithms were applied to several data sets. They referred to sales/purchase transactions of residential premises, which were derived from the cadastral system and the registry of real estate transactions. The results proved the usefulness of the tool to carry out laborious and tedious investigation in a relatively short time. Further research is needed to determine to what extent data coming from such sources allow to build the real estate valuation models.

关键词： Data models Tuning Buildings Algorithm design and analysis Data mining Floors Cost accounting

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Learning context-free grammars from partially structured examples: Juxtaposition of GCS with TBL

Learning context-free grammars from partially structured exa...

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7th International Conference on Hybrid Intelligent Systems, HIS 2007

作者： Unold, Olgierd Cielecki, Lukasz Institute of Computer Engineering Control and Robotics Wroclaw University of Technology Poland

ISBN: (纸本)0769529461

This paper juxtaposes performance of the grammar-based classifier system (GCS) with tabular representation algorithm (TBL) on the task of inducing context-free grammars from partially structured examples. In both cases structured examples rapidly improve the efficiency of learning algorithms, although there are substantial differences in the way they work. GCS requires more attention while setting initial system parameters and structured examples provide a bit more information than in TBL but on the other hand it is more efficient when tested against the same examples ' sets. © 2007 IEEE.

关键词： Context free grammars

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A definition of the extended Jacobian inverse kinematics algorithm for mobile robots 9

A definition of the extended Jacobian inverse kinematics alg...

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2007 9th European control Conference, ECC 2007

作者： Tchon, Krzysztof Jakubiak, Janusz Institute of Computer Engineering Control and Robotics Wroclaw University of Technology Wroclaw50-372 Poland

ISBN: (纸本)9783952417386

Using control theoretic concepts we present a definitional procedure of extended Jacobian inverse kinematics algorithms for mobile robots. As a point of departure we assume a representation of the mobile robot kinematics as the end point map of a driftless control system with outputs. The space of admissible control functions of this system plays the role of the configuration space of the mobile robot, the system output space corresponds to the taskspace, so that the mobile robot kinematics transform the configuration space into the taskspace. The extended Jacobian inverse kinematics algorithm is obtained by means of the continuation method, and is based on the extended Jacobian inverse. The main step of its derivation consists in extending the original mobile robot kinematics to a map of the configuration space into itself. To this aim the configuration space is decomposed into a finite dimensional subspace, isomorphic to the taskspace, and the remaining quotient subspace. In compliance with this decomposition an augmenting kinematics map is introduced. The original kinematics and the augmenting kinematics constitute the extended kinematics. In a region free from singularities the inverse of the derivative of the extended kinematics defines the extended Jacobian inverse. By design, the extended Jacobian inverse kinematics algorithm has the property of repeatability. In the paper, the general procedure is exemplified by a derivation of the extended Jacobian inverse for a chained form system that is feedback equivalent to the kinematics of the kinematic car type mobile robot. An examination of algorithmic singularities of this algorithm is carried out. computer simulations illustrate the performance of the algorithm. © 2007 EUCA.

关键词： Mobile robots

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