System identification

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In control engineering, the field of system identification uses statistical methods to build mathematical models of dynamical systems from measured data. (Wikipedia.org)






Conferences related to System identification

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2017 IEEE Power & Energy Society General Meeting

The annual IEEE Power & Energy Society General Meeting will bring together over 2000 attendees for technical sessions, student program, awards ceremony, committee meetings, and tutorials.

  • 2015 IEEE Power & Energy Society General Meeting

    The annual IEEE PES General Meeting will bring together over 2500 attendees for technical sessions, administrative sessions, super sessions, poster sessions, student programs, awards ceremonies, committee meetings, tutorials and more PLEASE NOTE: Abstracts are not accepted for the 2015 IEEE PES General Meeting, full papers only can be submitted to the submission site 24 October 2014 through 21 November 2014.  The site will be available from the PES home page www.ieee-pes.org

  • 2014 IEEE Power & Energy Society General Meeting

    The annual IEEE PES General Meeting will bring together over 2500 attendees for technical sessions, administrative sessions, super sessions, poster sessions, student programs, awards ceremonies, committee meetings, tutotials and more

  • 2013 IEEE Power & Energy Society General Meeting

    The annual IEEE Power & Energy Society General Meeting will bring together over 2000 attendees for technical sessions, student program, awards ceremony, committee meetings, and tutorials.

  • 2012 IEEE Power & Energy Society General Meeting

    The annual IEEE Power & Energy Society General Meeting will bring together over 2000 attendees for technical sessions, student program, awards ceremony, committee meetings, and tutorials.

  • 2011 IEEE Power & Energy Society General Meeting

    IEEE Power & Energy Annual Meeting --Papers --Awards --Plenary --Committee Meetings --Governing Board --Receptions --Tech tours --Tutorials --Companions Program

  • 2010 IEEE Power & Energy Society General Meeting

    IEEE Power & Energy Society Annual Meeting --Technical Sessions --Committee Meetings --Plenary Session --Gove Board Meeting --Awards Banquet --Tutorials --Student Activities --Social Events --Companions Program

  • 2009 IEEE Power & Energy Society General Meeting

    Paper and Panel sessions involving topics of interest to electric power engineers, technical committee meetings, administrative committee meetings, awards luncheon and plenary session.


2014 American Control Conference - ACC 2014

All areas of the theory and practice of automatic control, including but not limited to network control systems, model predictive control, systems analysis in biology and medicine, hybrid and switched systems, aerospace systems, power and energy systems and control of nano- and micro-systems.

  • 2013 American Control Conference (ACC)

    Control systems theory and practice. Conference themes on sustainability, societal challenges for control, smart healthcare systems. Conference topics include biological systems, vehicle dynamics and control, consensus control, cooperative control, control of communication networks, control of networked systems, control of distributed parameter systems, decentralized control, delay systems, discrete-event systems, fault detection, fault-tolerant systems, flexible structures, flight control, formation flying, fuzzy systems, hybrid systems, system identification, iterative learning control, model predictive control, linear parameter-varying systems, linear matrix inequalities, machine learning, manufacturing systems, robotics, multi-agent systems, neural networks, nonlinear control, observers, optimal control, optimization, path planning, navigation, robust control, sensor fusion, sliding mode control, stochastic systems, switched systems, uncertain systems, game theory.

  • 2012 American Control Conference - ACC 2012

    All areas of control engineering and science.

  • 2011 American Control Conference - ACC 2011

    ACC provides a forum for bringing industry and academia together to discuss the latest developments in the area of Automatic Control Systems, from new control theories, to the advances in sensors and actuator technologies, and to new applications areas for automation.

  • 2010 American Control Conference - ACC 2010

    Theory and practice of automatic control


2013 13th International Conference on Control, Automaton and Systems (ICCAS)

Control Theory and Application, Intelligent Systems, Industrial Applications of Control,Sensor and Signal Processing, Control Devices and Instruments, Robot Control, RobotVision, Human-Robot Interaction, Robotic Applications, Unmanned Vehicle Systems...


2012 16th IFAC Symposium on System Identification (SYSID 2012)

SYSID aims at promoting research and development activities in the area of system identification, experimental modeling, signal processing and adaptive control. The scope of the symposium covers all aspects of these areas, ranging from theoretical investigations to a large variety of applications.


2012 International Conference on Modelling, Identification and Control (ICMIC)

Static and dynamic systems modeling, control and optimization techniques, and nonlinear & linear system identification.

  • 2011 International Conference on Modelling, Identification and Control (ICMIC)

    The 3rd Conference provides a forum for professionals, academics, and researchers to present latest developments from interdisciplinary studies, algorithms and applications. It particularly welcomes those emerging methodologies and techniques that bridge theoretical studies and applications in all engineering and science branches. Novel quantitative economical, financial studies are considered as well.

  • 2010 International Conference on Modelling, Identification and Control (ICMIC)

    This international conference will bring together top researchers, practitioners and students from around the world to discuss the latest advances in the field of system modelling, system identification and system control.


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Periodicals related to System identification

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Instrumentation and Measurement, IEEE Transactions on

Measurements and instrumentation utilizing electrical and electronic techniques.


Power Delivery, IEEE Transactions on

Research, development, design, application, construction, the installation and operation of apparatus, equipment, structures, materials, and systems for the safe, reliable, and economic delivery and control of electric energy for general industrial, commercial, public, and domestic consumption.


Power Systems, IEEE Transactions on

Requirements, planning, analysis, reliability, operation, and economics of electrical generating, transmission, and distribution systems for industrial, commercial, public, and domestic consumption.


Signal Processing, IEEE Transactions on

The technology of transmission, recording, reproduction, processing, and measurement of speech; other audio-frequency waves and other signals by digital, electronic, electrical, acoustic, mechanical, and optical means; the components and systems to accomplish these and related aims; and the environmental, psychological, and physiological factors of thesetechnologies.



Most published Xplore authors for System identification

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Xplore Articles related to System identification

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Fundamentals of control-oriented system identification and their application for identification in H<sub>&#x0221E;</sub>

A. J. Helmicki; C. A. Jacobson; C. N. Nett 1991 American Control Conference, 1991

This paper examines the system identification problem from the standpoint of control system design. Noting first that nearly all robust control design methods require explicit worst-case/deterministic bounds on the existing plant uncertainty, it is argued that the class of system identification methods which are inherently compatible with robust control design methods-or control- oriented is a subset of the class of ...


Techniques to improve the regressor matrix condition for real-time parameter identification

A. D. Ngo; D. B. Doman Proceedings of the 2001 American Control Conference. (Cat. No.01CH37148), 2001

In this paper, on-line parameter identification algorithms that consider the collinearity of the system measurements are presented. Using null-space injection and regularized linear regression with stochastic constraints, the proposed methods improve the estimates of the system parameters


Multi-input system identification and its applications using wavelet constructive method

L. F. Yeung; X. W. Li Proceedings of 35th IEEE Conference on Decision and Control, 1996

In this paper, algorithms for the identification of a nonlinear multi-input dynamical system are developed. These algorithms are then used for developing a decision supporting tool for local short term rain storm forecasting. A wavelet network structure is applied to track the dynamics of a nonlinear system and used for identifying a state space model of the system using radar ...


Identification and control experiments using neural designs

S. I. Mistry; S. S. Nair IEEE Control Systems, 1994

Neural designs are reported for system identification and control using static and dynamic gradient update schemes. Real-time implementation of the designs using a hardware example case system illustrates the inherent capability of neural networks to handle nonlinearities, learn, and perform control effectively for a real world system, based on minimal system information. The advantages of dynamic schemes over static ones ...


eSYSID: A proposal for a flexible electronic SYStem IDentification test bench

G. Vandersteen; L. De Locht; J. Schoukens 2009 IEEE Instrumentation and Measurement Technology Conference, 2009

The experimental verification of identification techniques is the ultimate step in showing its qualities and weaknesses. For research purposes, the main problem is the reproduction of measurements done by other groups to validate a new method or excitation. For teaching purposes, on the other hand, it is extremely important that the students can put the system and/or method under study ...


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Educational Resources on System identification

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eLearning

Fundamentals of control-oriented system identification and their application for identification in H<sub>&#x0221E;</sub>

A. J. Helmicki; C. A. Jacobson; C. N. Nett 1991 American Control Conference, 1991

This paper examines the system identification problem from the standpoint of control system design. Noting first that nearly all robust control design methods require explicit worst-case/deterministic bounds on the existing plant uncertainty, it is argued that the class of system identification methods which are inherently compatible with robust control design methods-or control- oriented is a subset of the class of ...


Techniques to improve the regressor matrix condition for real-time parameter identification

A. D. Ngo; D. B. Doman Proceedings of the 2001 American Control Conference. (Cat. No.01CH37148), 2001

In this paper, on-line parameter identification algorithms that consider the collinearity of the system measurements are presented. Using null-space injection and regularized linear regression with stochastic constraints, the proposed methods improve the estimates of the system parameters


Multi-input system identification and its applications using wavelet constructive method

L. F. Yeung; X. W. Li Proceedings of 35th IEEE Conference on Decision and Control, 1996

In this paper, algorithms for the identification of a nonlinear multi-input dynamical system are developed. These algorithms are then used for developing a decision supporting tool for local short term rain storm forecasting. A wavelet network structure is applied to track the dynamics of a nonlinear system and used for identifying a state space model of the system using radar ...


Identification and control experiments using neural designs

S. I. Mistry; S. S. Nair IEEE Control Systems, 1994

Neural designs are reported for system identification and control using static and dynamic gradient update schemes. Real-time implementation of the designs using a hardware example case system illustrates the inherent capability of neural networks to handle nonlinearities, learn, and perform control effectively for a real world system, based on minimal system information. The advantages of dynamic schemes over static ones ...


eSYSID: A proposal for a flexible electronic SYStem IDentification test bench

G. Vandersteen; L. De Locht; J. Schoukens 2009 IEEE Instrumentation and Measurement Technology Conference, 2009

The experimental verification of identification techniques is the ultimate step in showing its qualities and weaknesses. For research purposes, the main problem is the reproduction of measurements done by other groups to validate a new method or excitation. For teaching purposes, on the other hand, it is extremely important that the students can put the system and/or method under study ...


More eLearning Resources

IEEE-USA E-Books

  • Measuring the Best Linear Approximation of a Nonlinear System

    This chapter contains sections titled: Measuring the Best Linear Approximation Measuring The Nonlinear Distortions Guidelines Projects

  • About the Author

    Many recently improved medical diagnostic techniques and therapeutic innovations have resulted from physiological systems modeling. This comprehensive book will help undergraduate and graduate students and biomedical scientists to gain a better understanding of how the principles of control theory, systems analysis, and model identification are used in physiological regulation. Ample Simulink? and MATLAB? examples throughout the text and posted at an IEEE FTP site will provide you with a hands-on approach for exploring modeling and analysis of biological control systems. You will learn about classical control theory and its application to physiological systems, and contemporary topics and methodologies shaping bioengineering research today. Discussions on the latest developments in system identification, optimal control, and nonlinear dynamical analysis will keep you up-to-date with recent bioengineering advances. From modeling and stability analysis to feedback control in physiological regulatory mechanisms, Physiological Control Systems provides an in-depth study of key bioengineering principles that is simply unmatched in the field. An Instructor Support FTP site is available from the Wiley editorial department: ftp://ftp.ieee.org/uploads/press/hoo

  • Unsupervised Regression with Applications to Nonlinear System Identification

    We derive a cost functional for estimating the relationship between highdimensional observations and the low-dimensional process that generated them with no input-output examples. Limiting our search to invertible observation functions confers numerous benefits, including a compact representation and no suboptimal local minima. Our approximation algorithms for optimizing this cost functional are fast and give diagnostic bounds on the quality of their solution. Our method can be viewed as a manifold learning algorithm that utilizes a prior on the low-dimensional manifold coordinates. The benefits of taking advantage of such priors in manifold learning and searching for the inverse observation functions in system identification are demonstrated empirically by learning to track moving targets from raw measurements in a sensor network setting and in an RFID tracking experiment.

  • Identification of Parametric Models in the Presence of Nonlinear Distortions

    This chapter contains sections titled: Introduction Identification of the Best Linear Approximation Using Random Excitations Generation of Uncertainty Bounds? Identification of the Best Linear Approximation Using Periodic Excitations Advises and Conclusions

  • References

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  • Subject Index

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  • Reference Index

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  • Identification

    This chapter contains sections titled: Introduction Illustration of some Important Aspects of System Identification Maximum Likelihood Estimation for Gaussian and Laplace Distributed Noise Identification for Skew Distributions with Outliers Selection of The Model Complexity Noise on Input and Output Measurements: The IV Method and The EIV Method

  • Issues in Evolutionary Optimization I

    March 1-3, 1995, San Diego, California Evolutionary programming is one of the predominate algorithms withing the rapidly expanding field of evolutionary computation. These edited contributions to the Fourth Annual Conference on Evolutionary Programming are by leading scientists from academia, industry, and defense. The papers describe both the theory and practical application of evolutionary programming, as well as other methods of evolutionary computation including evolution strategies, genetic algorithms, genetic programming, and cultural algorithms.Topics include :- Novel Areas of Evolutionary Programming and Evolution Strategies.- Evolutionary Computation with Medical Applications.- Issues in Evolutionary Optimization Pattern Discovery, Pattern Recognition, and System Identification.- Hierarchical Levels of Learning.- Self-Adaptation in Evolutionary Computation.- Morphogenic Evolutionary Computation.- Issues in Evolutionary Optimization.- Evolutionary Applications to VLSI and Part Placement.- Applications of Evolutionary Computation to Biology and Biochemistry Control.- Applications of Evolutionary Computation.- Genetic and Inductive Logic Programming.- Genetic Neural Networks.- The Future of Evolutionary Computation.A Bradford Book. Complex Adaptive Systems series

  • Frontmatter

    The prelims comprise: Half-Title IEEE Press Editorial Board Title Copyright Dedication Contents Preface Acknowledgments List of Operators and Notational Conventions List of Symbols List of Abbreviations



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