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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： You-Lian Zheng Yuan-Xiang Li De-Ming Lei Chuan-Xiang Ma The State Key Laboratory of Software Engineering Wuhan University of China Wuhan China Faculty of Mathematics & Computer Science Hubei University Wuhan China School of Automation Wuhan University of Technology Wuhan China

Genetic algorithm has been successfully applied to fuzzy job shop scheduling problem, however, the coding and decoding strategies of the problem aren't fully investigated. This paper presents an efficient random key genetic algorithm (RKGA) for the problem to minimize the maximum fuzzy completion time. RKGA uses a novel random key representation, a new decoding strategy and discrete crossover. RKGA is applied to some fuzzy scheduling instances and compared with a genetic algorithm and particle swarm optimization with genetic operators. Computational results demonstrate that RKGA has the promising advantage on fuzzy scheduling.

关键词： Job shop scheduling Schedules Biological cells Genetics Decoding Machine learning Cybernetics

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Composition of Petri nets models in service-oriented industrial automation

Composition of Petri nets models in service-oriented industr...

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IEEE International Conference on Industrial Informatics (INDIN)

作者： J. Marco Mendes Paulo Leitão Francisco Restivo Armando W. Colombo Faculty of Engineering University of Porto Porto Portugal LIACC - Artificial Intelligence and Computer Science Laboratory University of Porto Portugal Polytechnic Institute of Bragança Bragança Portugal Schneider Electric Automation GmbH Seligenstadt Germany

In service-oriented systems, composition of services is required to build new, distributed and more complex services, based on the logic behavior of individual ones. This paper discusses the formal composition of Petri nets models used for the process description and control in service-oriented automation systems. The proposed approach considers two forms for the composition of services, notably the offline composition, applied during the design phase, and the online composition, related to the synchronization of Petri nets models on the fly. An experimental case study is used to illustrate the proposed composition approach.

关键词： Petri nets automation Service oriented architecture Automatic control Power system modeling Application software Logic devices computer industry Artificial intelligence computer science

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Backtrack and Restart Genetic Algorithm to Optimize Delivery Schedule

Backtrack and Restart Genetic Algorithm to Optimize Delivery...

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International IEEE Conference on Signal-Image Technologies and Internet-Based System

作者： Yoshitaka Sakurai Kouhei Takada Natsuki Tsukamoto Takashi Onoyama Rainer Knauf Setsuo Tsuruta School of Information Environment Tokyo Denki University Chiba Japan Research & Development Department Hitachi Software Engineering Company Limited Tokyo Japan Faculty of Computer Science and Automation Ilmenau University of Technology Ilmenau Germany

A delivery route optimization system greatly improves the real time delivery efficiency. To realize such an optimization, its distribution network requires solving several tens to hundreds (max. 1500-2000) cities Traveling Salesman Problems (TSP) within interactive response time (around 3 seconds) with expert-level accuracy (below 3% level of error rate). To meet these requirements, a Backtrack and Restart Genetic Algorithm (Br-GA) is proposed and compared with conventional ones, especially such as an Inner Random Restart Genetic Algorithm (Irr-GA). This method combines Backtracking and GA having simple heuristics such as 2-opt and NI (Nearest Insertion) so that, in case of stagflation, GA can restarts with the state of populations going back to the state in the generation before stagflation. Including these heuristics, field experts and field engineers can easily understand the way and use it. Using the tool applying their method, they can easily create/modify the solutions or conditions interactively depending on their field needs. Experimental results proved that the method meets the above-mentioned delivery scheduling requirements more than other methods from the viewpoint of optimality as well as simplicity. Especially as to optimality, Br-GA is superior to even Irr-GA.

关键词： Nickel Gallium Optimization Pediatrics Humans Cities and towns Real time systems

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Inner Random Restart Genetic Algorithm to optimize delivery schedule

Inner Random Restart Genetic Algorithm to optimize delivery ...

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IEEE International Conference on Systems, Man and Cybernetics

A delivery route optimization system greatly improves the real time delivery efficiency. To realize such an optimization, its distribution network requires solving several tens to hundreds (maximum 2 thousands or so) cities Traveling Salesman Problems (TSP) within interactive response time (around 3 seconds) with expert-level accuracy (below 3% level of error rate). To meet these requirements, an Inner Random Restart Genetic Algorithm (Irr-GA) method is proposed. This method combines random restart and GA that has different types of simple heuristics such as 2-opt and NI (Nearest Insertion). Including these heuristics, field experts and field engineers can easily understand the way and use it. Using the tool applying their method, they can easily create/modify the solutions or conditions interactively depending on their field needs. Experimental results proved that the method meets the above-mentioned delivery scheduling requirements more than other methods from the viewpoint of optimality as well as simplicity.

关键词： Gallium Computational modeling

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Stability analysis of a class of MIMO fuzzy control systems

Stability analysis of a class of MIMO fuzzy control systems

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IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

作者： Radu-Emil Precup Marius L. Tomescu Emil M. Petriu Stefan Preitl János Fodor Daniela Bărbulescu Department of Automation and Applied Informatics Polytechnic University of Timisoara Timisoara Romania “Politehnica” University of Timisoara Timisoara RO Romania Faculty of Computer Science Aurel Vlaicu University of Arad Arad Romania Faculty of Computer Science Complex Universitar Arad RO Romania University of Ottawa School of Information Technology and Engineering Ottawa ON Canada Óbuda University Institute of Intelligent Engineering Systems Budapest Hungary

This paper suggests a new stability analysis approach dedicated to a class of fuzzy control systems controlling multi input-multi output (MIMO) nonlinear processes by means of Takagi-Sugeno fuzzy logic controllers. The approach is based on LaSalle's global invariant set theorem, and an original stability theorem offers sufficient stability conditions. The applicability and efficiency of the theoretical results are illustrated by a MIMO case study dealing with the fuzzy control of a spherical three tank system.

关键词： Stability analysis Process control MIMO Fuzzy control Valves Numerical stability Lyapunov method

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Medium term load forecasting using ANFIS predictor

Medium term load forecasting using ANFIS predictor

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Mediterranean Conference on Control and automation (MED)

作者： Otilia Elena Dragomir Florin Dragomir Rafael Gouriveau Eugenia Minca Electrical Engineering Faculty Automation Computer Science and Electrical Engineering Department Valahia University of Targoviste Targoviste Romania Département AS2M Institut FEMTO-ST CNRS-UFC/ENSMM/UTBM Besancon France

Nowadays, there are huge ranges of energy market participants. Commercial success of this area actor depends on the ability to submit competitive predictions relative to energy balance trends Thus, it seems convenient to “anticipate” this parameter evolution in time in order to act consequently and resort to protective actions. In this context, this paper proposes a tool for energy balance prediction based on ANFIS (Adaptive Neuro Fuzzy Inference System). This neuro- fuzzy predictor is modified in order to obtain an accurate forecasting for medium term. The solutions are illustrated on a real application and take into account the known “future”: the programmed actions.

关键词： Forecasting Predictive models Load forecasting Load modeling Accuracy Artificial neural networks Biological system modeling

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Reduction of MIMO nonlinear systems on homogeneous time scales

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IFAC Proceedings Volumes 2010年第14期43卷 1249-1254页

作者： Ülle Kotta Branislav Rehak Malgorzata Wyrwas Institute of Cybernetics at TUT Akadeemia tee 21 12618 Tallinn Estonia Institute of Information Theory and Automation of the ASCR Pod vodárenskou vìži 4 182 08 Praha 8 Czech Republic Faculty of Computer Science at BUT Wiejska 45a 15-351 Biakystok Poland

A necessary and sufficient condition for reducibility of multi-input multi-output nonlinear delta differential system is given in terms of the greatest common left divisor of two delta differential polynomial matrices, associated with the set of the input-output (i/o) equations of the system, defined on a homogenous time scale. This condition provides a basis for system reduction, i.e. for finding the transfer equivalent minimal irreducible representation of the set of the i/o equations.

关键词： Nonlinear control systems reduction transfer equivalence homogeneous time scale nice reachability σ-differential polynomials

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Use of accelerometers for material inner defect detection

Use of accelerometers for material inner defect detection

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International Conference on Applied Electronics, AE

作者： Ondrej Krejcar Robert Frischer Department of Measurement and Control Center of Applied Cybernetics Faculty of Electrical Engineering and Computer Science VSB-Technical University of Ostrava Ostrava Czech Republic Department of Automation and Computing in Metallurgy VSB-Technical University of Ostrava Ostrava Czech Republic

This paper deals with a possibility of non-destructive diagnostics of solid objects by software analysis of vibration spectrum by accelerometers. By a use of MATLAB platform, a processing and information evaluation from accelerometer is possible. Accelerometer is placed on the measured object. The analog signal needs to be digitized by a special I/O device to be processed offline with FFT (Fast Fourier Transformation). The power spectrum is then examined by developed evaluating procedures.

关键词： Accelerometers Vibrations Software Conferences Distortion measurement Converters Unified modeling language

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Notice of Retraction: Material inner defect detection by a vibration spectrum analysis

Notice of Retraction: Material inner defect detection by a v...

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International Conference on Mechanical and Electronics Engineering (ICMEE)

作者： Ondrej Krejcar Robert Frischer Department of Measurement and Control Center for Applied Cybernetics Faculty of Electrical Engineering and Computer Science VSB-Technical University of Ostrava Ostrava Czech Republic Department of Automation and Computing in Metallurgy VSB-Technical University of Ostrava Ostrava Czech Republic

This article has been retracted by the publisher.

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Energy aware knowledge extraction from petri nets supporting decision-making in service-oriented automation

Energy aware knowledge extraction from petri nets supporting...

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IEEE International Symposium on Industrial Electronics

作者： Leitão, Paulo Alves, Joel Mendes, J. Marco Colombo, Armando W. Polytechnic Institute of Bragança Campus Sta Apolónia Apartado 1134 5301-857 Bragança Portugal Artificial Intelligence and Computer Science Laboratory R. Campo Alegre 102 4169-007 Porto Portugal Faculty of Engineering University of Porto Rua Dr. Roberto Frias s/n 4200-465 Porto Portugal Schneider Electric Automation GmbH Steinheimer Str. 117 D-63500 Seligenstadt Germany

ISBN: (纸本)9781424463916

This paper introduces an approach to decision support systems in service-oriented automation control systems, which considers the knowledge extracted from the Petri nets models used to describe and execute the process behavior. Such solution optimizes the decision-making taking into account multi-criteria, namely productive parameters and also energy parameters. In fact, being manufacturing processes typically energy-intensive, this allows contributing for a clean and saving environment (i.e. a better and efficient use of energy). The preliminary experimental results, using a real laboratorial case study, demonstrate the applicability of the knowledge extracted from the Petri nets models to support real-time decision-making systems in service-oriented automation systems, considering some energy efficiency criteria. © 2010 IEEE.

关键词： Decision making

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