Conferences related to Systems Modeling

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2023 Annual International Conference of the IEEE Engineering in Medicine & Biology Conference (EMBC)

The conference program will consist of plenary lectures, symposia, workshops and invitedsessions of the latest significant findings and developments in all the major fields of biomedical engineering.Submitted full papers will be peer reviewed. Accepted high quality papers will be presented in oral and poster sessions,will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE.


ICC 2021 - IEEE International Conference on Communications

IEEE ICC is one of the two flagship IEEE conferences in the field of communications; Montreal is to host this conference in 2021. Each annual IEEE ICC conference typically attracts approximately 1,500-2,000 attendees, and will present over 1,000 research works over its duration. As well as being an opportunity to share pioneering research ideas and developments, the conference is also an excellent networking and publicity event, giving the opportunity for businesses and clients to link together, and presenting the scope for companies to publicize themselves and their products among the leaders of communications industries from all over the world.


2020 IEEE 16th International Workshop on Advanced Motion Control (AMC)

AMC2020 is the 16th in a series of biennial international workshops on Advanced Motion Control which aims to bring together researchers from both academia and industry and to promote omnipresent motion control technologies and applications.


2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

The 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2020) will be held in Metro Toronto Convention Centre (MTCC), Toronto, Ontario, Canada. SMC 2020 is the flagship conference of the IEEE Systems, Man, and Cybernetics Society. It provides an international forum for researchers and practitioners to report most recent innovations and developments, summarize state-of-the-art, and exchange ideas and advances in all aspects of systems science and engineering, human machine systems, and cybernetics. Advances in these fields have increasing importance in the creation of intelligent environments involving technologies interacting with humans to provide an enriching experience and thereby improve quality of life. Papers related to the conference theme are solicited, including theories, methodologies, and emerging applications. Contributions to theory and practice, including but not limited to the following technical areas, are invited.


IECON 2020 - 46th Annual Conference of the IEEE Industrial Electronics Society

IECON is focusing on industrial and manufacturing theory and applications of electronics, controls, communications, instrumentation and computational intelligence.


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Periodicals related to Systems Modeling

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Antennas and Propagation, IEEE Transactions on

Experimental and theoretical advances in antennas including design and development, and in the propagation of electromagnetic waves including scattering, diffraction and interaction with continuous media; and applications pertinent to antennas and propagation, such as remote sensing, applied optics, and millimeter and submillimeter wave techniques.


Applied Superconductivity, IEEE Transactions on

Contains articles on the applications and other relevant technology. Electronic applications include analog and digital circuits employing thin films and active devices such as Josephson junctions. Power applications include magnet design as well asmotors, generators, and power transmission


Automatic Control, IEEE Transactions on

The theory, design and application of Control Systems. It shall encompass components, and the integration of these components, as are necessary for the construction of such systems. The word `systems' as used herein shall be interpreted to include physical, biological, organizational and other entities and combinations thereof, which can be represented through a mathematical symbolism. The Field of Interest: shall ...


Automation Science and Engineering, IEEE Transactions on

The IEEE Transactions on Automation Sciences and Engineering (T-ASE) publishes fundamental papers on Automation, emphasizing scientific results that advance efficiency, quality, productivity, and reliability. T-ASE encourages interdisciplinary approaches from computer science, control systems, electrical engineering, mathematics, mechanical engineering, operations research, and other fields. We welcome results relevant to industries such as agriculture, biotechnology, healthcare, home automation, maintenance, manufacturing, pharmaceuticals, retail, ...


Broadcasting, IEEE Transactions on

Broadcast technology, including devices, equipment, techniques, and systems related to broadcast technology, including the production, distribution, transmission, and propagation aspects.


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Most published Xplore authors for Systems Modeling

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Xplore Articles related to Systems Modeling

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IEEE Draft Guide for Rail Transit Traction Power Systems Modeling

IEEE P1653.3/D53, June 2012, 2012

This guide provides a description of the data, techniques and procedures typically used in modeling and analysis of traction power systems.


IEEE Draft Guide for Rail Transit Traction Power Systems Modeling

IEEE P1653.3/D54, July 2012, 2012

This guide provides a description of the data, techniques and procedures typically used in modeling and analysis of traction power systems.


Studies on Ontology-based irrigation management information systems modeling

2010 World Automation Congress, 2010

Research and development irrigation management information systems are the important measures of making irrigation management more modernized and standardized. The difficulties of building information systems have been increased along with the continuous development of information technology and the complexity of information systems, information systems put forward higher request to “shared” and “reuse”. Ontology-based information systems modeling can eliminate semantic differences, ...


A kernel method for fuzzy systems modeling and approximate reasoning

22nd International Conference of the North American Fuzzy Information Processing Society, NAFIPS 2003, 2003

Fuzzy systems modeling has been an active research topic for almost twenty years. In general, two approaches have been proposed in the literature: 1) translate experts' prior knowledge into fuzzy rules; 2) learn a set of fuzzy rules from given training data. The first approach applies to the case that prior knowledge can be easily obtained and training data are ...


Hybrid dynamic systems modeling

1997 European Control Conference (ECC), 1997

Hybrid Dynamic Systems are systems which present both continuous and discrete behavior. For such systems, modeling and concept of controllability, stability are not easy to design or define. In this paper, a study of modelling for Hybrid Dynamic Systems is proposed in the aim of designing a predictive control law. In this purpose, the problem of prediction for Hybrid Automata ...


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Educational Resources on Systems Modeling

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IEEE-USA E-Books

  • IEEE Draft Guide for Rail Transit Traction Power Systems Modeling

    This guide provides a description of the data, techniques and procedures typically used in modeling and analysis of traction power systems.

  • IEEE Draft Guide for Rail Transit Traction Power Systems Modeling

    This guide provides a description of the data, techniques and procedures typically used in modeling and analysis of traction power systems.

  • Studies on Ontology-based irrigation management information systems modeling

    Research and development irrigation management information systems are the important measures of making irrigation management more modernized and standardized. The difficulties of building information systems have been increased along with the continuous development of information technology and the complexity of information systems, information systems put forward higher request to “shared” and “reuse”. Ontology-based information systems modeling can eliminate semantic differences, and carry out knowledge sharing and interoperability of different systems. In this paper, we introduce several common models which used in information systems modeling briefly; and then we introduce ontology, summarize ontology-based information systems modeling process; finally, we discuss the applications of ontology-based information systems modeling in irrigation management information systems preliminary.

  • A kernel method for fuzzy systems modeling and approximate reasoning

    Fuzzy systems modeling has been an active research topic for almost twenty years. In general, two approaches have been proposed in the literature: 1) translate experts' prior knowledge into fuzzy rules; 2) learn a set of fuzzy rules from given training data. The first approach applies to the case that prior knowledge can be easily obtained and training data are not sufficient. However, in many applications, the amount of training data is usually large. In that case, the second approach may provide more objective rules than the first approach. In this paper, we show that a class of fuzzy systems is in essence kernel machines. Therefore, the support vector machine (SVM) method can be used to construct fuzzy systems. This method has been tested on real weather forecast data. Experimental results demonstrate the effectiveness of the method.

  • Hybrid dynamic systems modeling

    Hybrid Dynamic Systems are systems which present both continuous and discrete behavior. For such systems, modeling and concept of controllability, stability are not easy to design or define. In this paper, a study of modelling for Hybrid Dynamic Systems is proposed in the aim of designing a predictive control law. In this purpose, the problem of prediction for Hybrid Automata is discussed.

  • Genetic algorithm-based systems modeling in traders' evolution mechanism

    Technology of system simulation has become the important tool in studying various systems, particularly the complex systems. In this paper the method is applied to the construct an artificial stock market system and simulates the evolution of traders combined with genetic algorithm (GA). Then we can observe the macroscopic behavior of the artificial stock market from bottom to up and the impact to the stock market from traders' evolution mechanism of personal learning.

  • Systems Modeling

    None

  • Multi-Network Neural Model for nonlinear systems modeling

    This paper proposes a Multi-Network Neural Model (“MNNM”) to deal with complex systems modeling. Indeed, the training of this architecture was performed using a parallel algorithm consisting on training simultaneously all local neural networks. The obtained results show the effectiveness of the “MNNM” compared to the Single-Network Neural Model (“SNNM”). This work will be supported by two examples: a second order non linear system and a chemical reactor.

  • Evaluation of a Queuing Theory and Systems Modeling Course Based on UML

    This paper presents how a new teaching method in the way that a queuing theory and systems modeling or simulation course can be done, was evaluated by the teachers and the students that attended the course and answered a questionnaire. This course is based on the use of Unified Modeling Language (UML) as the mean to teach modeling of discrete event systems such as queues and networks and not on Mathematics that sometimes is too difficult for students to understand

  • A smart display component model for embedded systems modeling and simulation

    Embedded systems are in continuous interaction with their environment and mix several technical domains. So, they are heterogeneous and very complex. The tools and the platforms of the embedded systems modeling must make tasks of the designer easy by proposing new component models and new modeling approaches. The process of embedded systems modeling ends with a validation step. The validation by simulation must use display components to show the output data produced by the model of system. However, since the output data are heterogeneous and they have different semantics (e. g. continuous semantic, discrete semantic, data flow semantic, etc.), we must use for each output data type a display specific component. Consequently, this increases the number of display specific components and annoys the designer and reduces the reusability. In this paper, we propose a smart display component that has the capability to display any output data type. It is able to adapt its behavior and structure to the semantic of output data type. It is not a competitor to display specific components but it resolves their weakness and it simplifies the complexity of their use. Also, it allows the reusability of the display components in embedded systems modeling and simulation. Its design is based on the application of the separation of concerns principle to the display specific components. Indeed, the designer uses a single display component to display any output data type of its systems instead of use several display specific components. We also present an implementation and a validation of the smart display component in the Ptolemy II platform.



Standards related to Systems Modeling

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Standard for Computer-Aided Software Engineering (CASE) Tool Interconnections — Reference Data Metamodel for System Behavior Specifications

This standard defines a data metamodel for system behavior specifications. The data metamodel provides explicit definitions of typed data elements, information representations, and relationships with which behavior models for subject systems can be instantiated. These elements, representations, and relations serve to reify the conceptual metamodel for system behavior specification described in IEEE Std 1175.4.