On a pseudo-formal linearization using automatic choosing function for multidimensional systems and its application to nonlinear observer

Proceedings of the 2nd International Conference on Robotics, Control and Automation - ICRCA '17 ◽

10.1145/3141166.3141169 ◽

2017 ◽

Author(s):

Kazuo Komatsu ◽

Hitoshi Takata

Keyword(s):

Multidimensional Systems ◽

Nonlinear Observer ◽

Formal Linearization

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A Nonlinear Observer via Pseudo-Formal Linearization for Both State and Measurement Equations of Nonlinear Scalar-Measurement Systems

Journal of Signal Processing ◽

10.2299/jsp.21.291 ◽

2017 ◽

Vol 21 (6) ◽

pp. 291-296 ◽

Author(s):

Kazuo Komatsu ◽

Hitoshi Takata

Keyword(s):

Nonlinear Observer ◽

Measurement Systems ◽

Measurement Equations ◽

Formal Linearization

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A Pseudo-Formal Linearization Using Chebyshev Expansion and Its Application to Nonlinear Observer for Nonlinear Scalar-Measurement Systems

Journal of Signal Processing ◽

10.2299/jsp.23.49 ◽

2019 ◽

Vol 23 (2) ◽

pp. 49-54 ◽

Author(s):

Kazuo Komatsu ◽

Hitoshi Takata

Keyword(s):

Nonlinear Observer ◽

Measurement Systems ◽

Chebyshev Expansion ◽

Formal Linearization

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Computer Algorithms for Pseudo-Formal Linearization Method Based on Discrete Fourier Series Expansion and Nonlinear Observer

Journal of Signal Processing ◽

10.2299/jsp.25.155 ◽

2021 ◽

Vol 25 (5) ◽

pp. 155-162

Author(s):

Kazuo Komatsu ◽

Hitoshi Takata

Keyword(s):

Fourier Series ◽

Series Expansion ◽

Linearization Method ◽

Nonlinear Observer ◽

Fourier Series Expansion ◽

Discrete Fourier Series ◽

Computer Algorithms ◽

Formal Linearization

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A Formal Linearization for a General Class of Time-varying Nonlinear Systems by the Cubic Hermite Interpolation and a Nonlinear Observer

2006 9th International Conference on Control, Automation, Robotics and Vision ◽

10.1109/icarcv.2006.345167 ◽

2006 ◽

Author(s):

Katsuhiro Narikiyo ◽

Hitoshi Takata

Keyword(s):

Nonlinear Systems ◽

General Class ◽

Hermite Interpolation ◽

Nonlinear Observer ◽

Time Varying ◽

Formal Linearization

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Design of nonlinear observer by augmented linear system based on formal linearization using fourier expansion

10.1063/1.4768988 ◽

2012 ◽

Author(s):

Kazuo Komatsu ◽

Hitoshi Takata

Keyword(s):

Linear System ◽

Fourier Expansion ◽

Nonlinear Observer ◽

Formal Linearization

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Computer Algorithms for Pseudo-Formal Linearization and Nonlinear Observer for Nonlinear Scalar-Measurement Systems by Chebyshev Interpolation

Journal of Signal Processing ◽

10.2299/jsp.24.51 ◽

2020 ◽

Vol 24 (2) ◽

pp. 51-59

Author(s):

Kazuo Komatsu ◽

Hitoshi Takata

Keyword(s):

Nonlinear Observer ◽

Computer Algorithms ◽

Measurement Systems ◽

Chebyshev Interpolation ◽

Formal Linearization

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A Nonlinear Observer via Augmented Linear System based on Formal Linearization using Discrete Fourier Expansion

International Journal of Electronics and Electrical Engineering ◽

10.12720/ijeee.1.2.107-111 ◽

2013 ◽

Vol 1 (2) ◽

pp. 107-111

Author(s):

Kazuo Komatsu ◽

Hitoshi Takata

Keyword(s):

Linear System ◽

Fourier Expansion ◽

Nonlinear Observer ◽

Formal Linearization

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On the Structural and Parametric Identification under the Limited Uncertainty and Approximating Models of Multidimensional Systems

Journal of Automation and Information Sciences ◽

10.1615/jautomatinfscien.v43.i6.10 ◽

2011 ◽

Vol 43 (6) ◽

pp. 1-15

Author(s):

Alexey V. Gummel ◽

Vyacheslav F. Gubarev ◽

Artem A. Kryshtal ◽

Vladislav Yu. Oles

Keyword(s):

Parametric Identification ◽

Multidimensional Systems ◽

Structural And Parametric Identification

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Method of Iterative Identification of Multidimensional Systems by Uncertain Data. Part II. Algorithms

Journal of Automation and Information Sciences ◽

10.1615/jautomatinfscien.v39.i4.10 ◽

2007 ◽

Vol 39 (4) ◽

pp. 1-11

Author(s):

Pyetr A. Tigunov ◽

Vyacheslav F. Gubarev

Keyword(s):

Uncertain Data ◽

Multidimensional Systems ◽

Iterative Identification

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Parameter Identification using Nonlinear Observer Theory

10.23919/acc.1990.4790934 ◽

1990 ◽

Author(s):

Scott A. Bortoff ◽

Mark W. Spong

Keyword(s):

Parameter Identification ◽

Nonlinear Observer

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