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检索条件"任意字段=International Conference on Complex Systems: Control and Modeling Problems"

共 12182 条记录，以下是4821-4830 订阅

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Developing of WIMP Interfaces on Critical Platforms for Automatic Flight control System of UAV 4

Developing of WIMP Interfaces on Critical Platforms for Auto...

引用

4th IEEE international conference on Actual problems of Unmanned Aerial Vehicles Developments (APUAVD)

作者： Prosvirin, D. A. Kharchenko, V. P. ANTONOV Co Kiev Ukraine Natl Aviat Univ Air Nav Syst Dept Kiev Ukraine

ISBN: (纸本)9781538618172

This article deals with developing of Windows, Icons, Menus, Pointer interfaces and model based approach to mathematical modeling process of an unmanned air vehicle flight control system. Application of modern model-based technologies for critical onboard systems development is considered. The program for unmanned air vehicle -automatic flight control system control loop simulation and visualization is developed. Use of the proposed approach allows to facilitate unmanned air vehicle onboard systems software engineering, analyze and certification process. The article concludes with a status of current research activities on the topic and a summary of the benefits provided by this approach for developing Windows, Icons, Menus, Pointer interfaces for unmanned air vehicle automatic flight control system.

关键词： model-based design Windows, Icons, Menus, Pointer critical systems automatic flight control system software engineering

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Regression Testing of Information-modeling systems for Solving Technological problems in Blast-Furnace Production

Regression Testing of Information-Modeling Systems for Solvi...

引用

international Russian Automation conference (RusAutoCon)

作者： V.V. Lavrov N.A. Spirin I.A. Gurin Thermal physics and computer science in metallurgy Ural Federal University Yekaterinburg Russia

ISBN: (纸本)9781538649398

The development and implementation of the “ARM technologist of blast furnace shop” automated information system is carried out in the blast furnace shop of PJSC “Magnitogorsk Iron and Steel Works”. This system includes a set of subsystems (software modules) that implement a complex of mathematical models of UrFU-MMK. The system helps the engineering staff to solve a complex of technological problems, aimed, ultimately, at increasing the efficiency of blast furnace smelting. The experience shows that one of the main conditions for creating high-quality software is the process of its testing. Currently, in most cases of program development employs the iterative technology, which involves both the development of new software modules, and the improvement of existing ones. In this regard, it is necessary to create a large number of unit tests. However, writing unit tests is time consuming. The most optimal test coverage is 70-80% of the program code. With the development of the project, the number of tests that must be performed when each new version is released increases. The costs of maintaining the development process increase significantly. Therefore, the creation of regression tests are required to minimize time and human resources spent on testing. The article briefly describes the technology and software tools used by the authors to develop the regression testing system “ARM technologist of blast furnace shop”.

关键词： Testing Blast furnaces Smelting Visualization Microsoft Windows

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KoMMDia: Dialogue-driven assistance system for fault diagnosis and correction in cyber-physical production systems

KoMMDia: Dialogue-driven assistance system for fault diagnos...

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IEEE international conference on Emerging Technologies and Factory Automation

作者： Julian Rahm Markus Graube Romy Muller Tilman Klaeger Luise Schegner Andre Schult Rica Bonsel Sebastian Carsch Lukas Ochm Leon Urbas Technische Universität Dresden Dresden Germany Fraunhofer Institute for Process Engineering and Packaging Dresden Germany

In complex production systems, the diagnosis and correction of faults requires operators to possess a deep understanding of the specific processes and machines as well as general knowledge about the interactions between different system components. However, in actual work environments operator qualification and experience is quite diverse, which leads to an immense variability in the time required for fault diagnosis and in the quality of corrective actions. Both time and quality of fault diagnosis and correction are vital parameters in the functioning of a plant, because downtimes have severe economic consequences and thus should be kept to a minimum. With the introduction of highly complex and flexible cyber-physical production systems, these problems are aggravated as fault sources vary and diagnosis becomes even more challenging. The paper presents a concept for a self-learning assistance system that supports operators in finding and evaluating solution strategies for complex faults. This concept applies a question-answer approach which allows for an incremental, dialogue-based establishment of common ground between operators and the assistance system.

关键词： Fault diagnosis Automation Production systems Manufacturing Cognition Natural language processing Process control

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A Probabilistic Approach for DG with Electric Vehicles

A Probabilistic Approach for DG with Electric Vehicles

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international conference on Power Electronic Drives and Energy systems for Industrial Growth

作者： Sulabh Sachan Nand Kishor Electrical Engineering Department MJP Rohilkhand University Bareilly India EED MNNIT Allahabad India

ISBN: (纸本)9781538693179;9781538693162

As already Indian distribution systems facing problems of overloading, charging a number of vehicles will become an extra burden to the distribution transformer during peak demand times. This work delineates the effect of DG entrance with EVs on a distribution network. In any case, charging examples of electric vehicles will probably pressure the appropriation arrange and could cause control blackouts, voltage vacillations, warm weight on the lines and consonant contamination. The effect of vehicle charging is basic regarding Distribution Network Operators keeping in mind the end goal to keep up the typical activity of the matrix with fulfilled utilization of power. Here, stochastic constraints, for example, the charging area along with comparing EV stack request are dissected and utilized as a part of a base case situation without DG on the changed IEEE34 network. Next, expanded entrance of DG is reproduced by considering regular load summaries by help of load stream reproductions in PST toolbox. The outcomes portray the ideal EV charging profiles as far as transformer control request, voltage profile and electrical cable misfortunes inside system limits.

关键词： Electric vehicle charging Smart grids Probabilistic logic Batteries Load modeling Voltage control

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Image Classification Using Generalized Multiscale RBF Networks and Discrete Cosine Transform

Image Classification Using Generalized Multiscale RBF Networ...

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international conference on Automation and Computing (ICAC)

作者： Carlos Beltran Perez Hua-Liang Wei Automatic Control and Systems Engineering University of Sheffield Sheffield United Kingdom

ISBN: (纸本)9781538648919

The use of the multiscale generalized radial basis function (MSRBF) network for image feature extraction is proposed for the first time. The MSRBF network holds a simple but flexible structure capable to modelling complex systems. However MSRBF is originally designed to identify observational-type input-output systems. We aim to use this efficient network to get to concise but accurate models of digital images thanks to: a) the use of multiple scales in the RBF kernel width, and b) the adoption of the forward regression orthogonal least squares (FROLS) algorithm to refine the model structure selection. Thereafter the new tailored model is excited to produce output signals aimed at be compressed by the discrete cosine transform (DCT), adopted in this work to compact signals' energy into a few coefficients. To recognise images as MSRBF networks, a mathematical modelling was done by considering the first ones as multiple-input single-output systems. Based on the new methodology a novel computer aided diagnosis (CAD) system for cancer detection in X-ray mammograms was designed. Classification results show that the new CAD method helped reach a competitive diagnostic accuracy of 93.5%. It was similarly found that the MSRBF network is able to construct tailored and precise image models.

关键词： Discrete cosine transforms Solid modeling Feature extraction Training Computational modeling Mammography

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A Learning Framework for control-Oriented modeling of Buildings 16

A Learning Framework for Control-Oriented Modeling of Buildi...

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16th IEEE international conference on Machine Learning and Applications (ICMLA)

作者： Rubio-Herrero, Javier Chandan, Vikas Siegel, Charles M. Vishnu, Abhinav Vrabie, Draguna L. St Marys Univ Dept Engn San Antonio TX 78228 USA Pacific Northwest Natl Lab Richland WA 99352 USA

ISBN: (纸本)9781538614174

Buildings consume almost 40% of energy in the US. In order to optimize the operation of buildings, models that describe the relationship between energy consumption and control knobs such as set-points with high predictive capability are required. Data driven modeling techniques have been investigated to a somewhat limited extent for optimizing the operation and control of buildings. In this context, deep learning techniques such as Recurrent Neural Networks (RNNs) hold promise, empowered by advanced computational capabilities and big data opportunities. This paper investigates the use of deep learning for modeling the power consumption of building heating, ventilation and air-conditioning (HVAC) systems. A preliminary analysis of the performance of the methodology for different architectures is conducted. Results show that the proposed methodology outperforms other data driven modeling techniques significantly.

关键词： Buildings Data models Mathematical model Heating systems Neural networks Energy consumption

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Design and Implementation of Micromirror Drive control System For MEMS Based NIR Spectrometer

Design and Implementation of Micromirror Drive Control Syste...

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international conference on Automation and Computing (ICAC)

作者： Pengyu Qiao Dan Niu Jie Wang Xiaojun Wang Xisong Chen Xiangyu Wang School of Automation Southeast University Nanjing China

ISBN: (纸本)9781538648919

MEMS based NIR spectrometer has become a research focus in the field of portable NIR spectrometer. Micromirror is the core optical device of MEMS based NIR spectrometer in which the deflection angle must be well controlled to ensure the long-term stability of spectrometer. In order to solve the complex disturbance problems of the MEMS micromirror drive system, a compound control system based on model predictive control (MPC) and disturbance observer (DOB)is proposed in this paper. The experimental results demonstrate that the proposed compound structure has excellent disturbance rejection properties, whether in rejecting external disturbances or internal disturbances, etc.

关键词： Micromechanical devices Transfer functions Micromirrors control systems Mathematical model Compounds

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20th international Workshop on Computer Algebra in Scientific Computing, CASC 2018

20th International Workshop on Computer Algebra in Scientifi...

引用

20th international Workshop on Computer Algebra in Scientific Computing, CASC 2018

ISBN: (纸本)9783319996387

The proceedings contain 25 papers. The special focus in this conference is on Computer Algebra in Scientific Computing. The topics include: On a Polytime Factorization Algorithm for Multilinear Polynomials over F2;tropical Newton–Puiseux Polynomials;orthogonal Tropical Linear Prevarieties;symbolic-Numerical Algorithms forÂ Solving Elliptic Boundary-Value problems Using Multivariate Simplex Lagrange Elements;symbolic-Numeric Simulation of Satellite Dynamics with Aerodynamic Attitude control System;finding Multiple Solutions in Nonlinear Integer Programming with Algebraic Test-Sets;positive Solutions of systems of Signed Parametric Polynomial Inequalities;qualitative Analysis of a Dynamical System with Irrational First Integrals;effective Localization Using Double Ideal Quotient and Its Implementation;on Unimodular Matrices of Difference Operators;a Purely Functional Computer Algebra System Embedded in Haskell;splitting Permutation Representations ofÂ Finite Groups by Polynomial Algebra Methods;factoring Multivariate Polynomials with Many Factors and Huge Coefficients;beyond the First Class of Analytic complexity;a Theory and an Algorithm forÂ Computing Sparse Multivariate Polynomial Remainder Sequence;a Blackbox Polynomial System Solver onÂ Parallel Shared Memory Computers;Sparse Polynomial Arithmetic with the BPASÂ Library;computation of Pommaret Bases Using Syzygies;a Strongly Consistent Finite Difference Scheme for Steady Stokes Flow and its Modified Equations;symbolic-Numeric Methods for Nonlinear Integro-Differential modeling;a Continuation Method for Visualizing Planar Real Algebraic Curves withÂ Singularities;from Exponential Analysis to Padé Approximation and Tensor Decomposition, in One and More Dimensions;Symbolic Algorithm for Generating the Orthonormal Bargmann–Moshinsky Basis for SU(3) Group.

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Elevator Drives Present Trends and Perspectives 11

Elevator Drives Present Trends and Perspectives

引用

2017 international conference on Electromechanical and Power systems (SIELMEN)

作者： Blanusa, Branko Knezevic, Bojan Erceg, Bojan Lekic, Dorde Mrsic, Predrag Univ Banja Luka Banja Luka Bosnia & Herceg

ISBN: (纸本)9781538618462

In this paper some of the problems related to electrical drives in modern elevators are presented. These are the modeling of jerk and the definition of the motion trajectory, power savings, efficiency optimization and possibilities for energy storage in generator mode, and application of suitable converters and control techniques for the implementation in elevator drives. Suggested solutions are tested through computer simulations and experimentally on the prototype of elevator drive.

关键词： electric elevator jerk control motion trajectory efficiency optimization energy storage elevator drive converter

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Brain Emotional Learning-Based Intelligent Tracking control for Unmanned Aircraft systems with Uncertain System Dynamics and Disturbance

Brain Emotional Learning-Based Intelligent Tracking Control ...

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international conference on Unmanned Aircraft systems (ICUAS)

作者： Jafari, Mohammad Fehr, Ric Carrillo, Luis Rodolfo Garcia Xu, Hao Univ Nevada Dept Elect & Biomed Engn Reno NV 89557 USA Texas A&M Univ Sch Engn & Comp Sci Fac Elect Engn 6300 Ocean DrUnit 5797 Corpus Christi TX 78412 USA Univ Nevada Fac Elect & Biomed Engn Reno NV 89557 USA

ISBN: (纸本)9781509044948

In this paper, a novel neurobiologically inspired intelligent tracking controller is developed and implemented for Unmanned Aircraft systems (UAS) in presence of uncertain system dynamics and disturbance. The methodology adopted, known as Brain Emotional Learning Based Intelligent controller (BELBIC), is based on a novel computational model of emotional learning in mammals' brain limbic system. Compared with conventional stable control, BELBIC is more suitable for practical UAS since it can maintain the real-time UAS performance without known system dynamic and disturbance. Furthermore, the learning capability and low computational complexity of BELBIC make it very promising for implementation in complex real-time applications. To evaluate the practical performance of proposed design, BELBIC has been implemented into a benchmark UAS. Numerical and experimental results demonstrated the applicability and satisfactory performance of the proposed BELBIC-inspired design.

关键词： Computational modeling Real-time systems Mathematical model Brain modeling Computational complexity Propellers Color

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