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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Persistence of excitation, RBF approximation and periodic orbits

Cong Wang; D. J. Hill 2005 International Conference on Control and Automation, 2005

Satisfying the persistence of excitation (PE) condition is an important, yet challenging problem in system identification and adaptive control. In this paper, it is shown that a regressor vector consisting of radial basis functions can satisfy the PE condition. Specifically, for radial basis function networks (RBFN) constructed on a regular lattice, any periodic orbit that stays within the regular lattice ...


A parameter dispersion based global identification method and its application

Yuexuan Wang; Xiaoping Li; Cheng Wu; Xixiang Hu Fifth World Congress on Intelligent Control and Automation (IEEE Cat. No.04EX788), 2004

Local identification method provides one point in the parametric space, which locally minimizes the criteria, the deviation of the object output and the model output. However, for process control system modeling, it often exists a set of points that satisfy to minimize the criteria. This paper proposed a global identification method, which is based on the local identification results to ...


On Parameter Estimation Using Nonparametric Noise Models

K. Mahata; R. Pintelon; J. Schoukens IEEE Transactions on Automatic Control, 2006

Fitting multidimensional parametric models in frequency domain using nonparametric noise models is considered in this paper. A nonparametric estimate of the noise statistics is obtained from a finite number of independent data sets. The estimated noise model is then substituted for the the true noise covariance matrix in the maximum likelihood loss function to obtain suboptimal parameter estimates. The goal ...


Support Vector Machines for Nonlinear Kernel ARMA System Identification

Manel Martinez-Ramon; Jos Luis Rojo-Alvarez; Gustavo Camps-Valls; Jordi Munoz-Mari; ngel Navia-Vazquez; Emilio Soria-Olivas; Anbal R. Figueiras-Vidal IEEE Transactions on Neural Networks, 2006

Nonlinear system identification based on support vector machines (SVM) has been usually addressed by means of the standard SVM regression (SVR), which can be seen as an implicit nonlinear autoregressive and moving average (ARMA) model in some reproducing kernel Hilbert space (RKHS). The proposal of this letter is twofold. First, the explicit consideration of an ARMA model in an RKHS ...


Identification and Modeling of Environmental Climates Inside Naturally Ventilated Tropical Greenhouse

Saiful Farhan M. Samsuri; Robiah Ahmad; Mohamed Hussein; Abd Rahman Abd Rahim 2010 Fourth Asia International Conference on Mathematical/Analytical Modelling and Computer Simulation, 2010

This paper focuses on modeling and identification of environmental climates inside naturally ventilated tropical greenhouse (NVTG). The NVTG climate model is an essential tool for developing the climate control system. A real-time wireless monitoring system for measuring prototyped NVTG environmental climates for chili plantation was developed. The variables to estimate the NVTG outputs variables namely internal relative humidity and internal ...


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Educational Resources on System identification

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eLearning

Persistence of excitation, RBF approximation and periodic orbits

Cong Wang; D. J. Hill 2005 International Conference on Control and Automation, 2005

Satisfying the persistence of excitation (PE) condition is an important, yet challenging problem in system identification and adaptive control. In this paper, it is shown that a regressor vector consisting of radial basis functions can satisfy the PE condition. Specifically, for radial basis function networks (RBFN) constructed on a regular lattice, any periodic orbit that stays within the regular lattice ...


A parameter dispersion based global identification method and its application

Yuexuan Wang; Xiaoping Li; Cheng Wu; Xixiang Hu Fifth World Congress on Intelligent Control and Automation (IEEE Cat. No.04EX788), 2004

Local identification method provides one point in the parametric space, which locally minimizes the criteria, the deviation of the object output and the model output. However, for process control system modeling, it often exists a set of points that satisfy to minimize the criteria. This paper proposed a global identification method, which is based on the local identification results to ...


On Parameter Estimation Using Nonparametric Noise Models

K. Mahata; R. Pintelon; J. Schoukens IEEE Transactions on Automatic Control, 2006

Fitting multidimensional parametric models in frequency domain using nonparametric noise models is considered in this paper. A nonparametric estimate of the noise statistics is obtained from a finite number of independent data sets. The estimated noise model is then substituted for the the true noise covariance matrix in the maximum likelihood loss function to obtain suboptimal parameter estimates. The goal ...


Support Vector Machines for Nonlinear Kernel ARMA System Identification

Manel Martinez-Ramon; Jos Luis Rojo-Alvarez; Gustavo Camps-Valls; Jordi Munoz-Mari; ngel Navia-Vazquez; Emilio Soria-Olivas; Anbal R. Figueiras-Vidal IEEE Transactions on Neural Networks, 2006

Nonlinear system identification based on support vector machines (SVM) has been usually addressed by means of the standard SVM regression (SVR), which can be seen as an implicit nonlinear autoregressive and moving average (ARMA) model in some reproducing kernel Hilbert space (RKHS). The proposal of this letter is twofold. First, the explicit consideration of an ARMA model in an RKHS ...


Identification and Modeling of Environmental Climates Inside Naturally Ventilated Tropical Greenhouse

Saiful Farhan M. Samsuri; Robiah Ahmad; Mohamed Hussein; Abd Rahman Abd Rahim 2010 Fourth Asia International Conference on Mathematical/Analytical Modelling and Computer Simulation, 2010

This paper focuses on modeling and identification of environmental climates inside naturally ventilated tropical greenhouse (NVTG). The NVTG climate model is an essential tool for developing the climate control system. A real-time wireless monitoring system for measuring prototyped NVTG environmental climates for chili plantation was developed. The variables to estimate the NVTG outputs variables namely internal relative humidity and internal ...


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IEEE-USA E-Books

  • Front Matter

    The prelims comprise: Half Title Editorial Board Title Copyright Dedication Contents Preface to the First Edition Preface to the Second Edition Acknowledgments List of Operators and Notational Conventions List of Symbols List of Abbreviations

  • An Introduction to Identification

    This chapter contains sections titled: What Is Identification? Identification: A Simple Example Description of the Stochastic Behavior of Estimators Basic Steps in the Identification Process A Statistical Approach to the Estimation Problem Exercises

  • Measurement of Frequency Response Functions - Standard Solutions

    This chapter contains sections titled: Introduction An Introduction to the Discrete Fourier Transform Spectral Representations of Periodic Signals Analysis of FRF Measurements Using Periodic Excitations Reducing FRF Measurement Errors for Periodic Excitations FRF Measurements Using Random Excitations FRF Measurements of Multiple-Input, Multiple-Output Systems Guidelines for FRF Measurements Conclusion Exercises Appendixes

  • Some Linear Algebra Fundamentals

    This chapter contains sections titled: Notations and Definitions Operators and Functions Norms Decompositions Moore-Penrose Pseudoinverse Idempotent Matrices Kronecker Algebra Isomorphism between Complex and Real Matrices Derivatives Inner Product Gram-Schmidt Orthogonalization Calculating the Roots of Polynomials Sensitivity of the Least Squares Solution Exercises Appendix

  • Best Linear Approximation of Nonlinear Systems

    This chapter contains sections titled: Response of a Nonlinear System to a Periodic Input Best Linear Approximation of a Nonlinear System Predictive Power of the Best Linear Approximation

  • Identification of Invariants of (Over)Parameterized Models

    This chapter contains sections titled: Introduction (Over)Parameterized Models and their Invariants Cramér-Rao Lower Bound for Invariants of (Over)Parameterized Models Estimates of Invariants of (Over) Parameterized Models - Finite Sample Results A Simple Numerical Example Exercises Appendixes

  • Frequency Response Function Measurements in the Presence of Nonlinear Distortions

    This chapter contains sections titled: Introduction Intuitive Understanding of the Behavior of Nonlinear Systems A Formal Framework to Describe Nonlinear Distortions Study of the Properties of FRF Measurements in the Presence of Nonlinear Distortions Extension to Discrete-Time Modeling Experimental Illustration Multivariable Systems Best Linear Approximation of a System Operating in Closed Loop Conclusion Exercises Appendixes

  • Some Probability and Stochastic Convergence Fundamentals

    This chapter contains sections titled: Notations and Definitions The Covariance Matrix of a Function of a Random Variable Sample Variables Mixing Random Variables Preliminary Example Definitions of Stochastic Limits Interrelations between Stochastic Limits Properties of Stochastic Limits Laws of Large Numbers Central Limit Theorems Properties of Estimators Cramér-Rao Lower Bound How to Prove Asymptotic Properties of Estimators? Pitfalls Preliminary Example - Continued Properties of the Noise after a Discrete Fourier Transform Exercises Appendixes

  • 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

  • References

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Standards related to System identification

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