On persistent excitations for the identification of switched linear dynamical systems over finite fields

Gilles Millérioux; Jamal Daafouz

doi:10.1016/j.automatica.2014.10.050

On persistent excitations for the identification of switched linear dynamical systems over finite fields

Automatica ◽

10.1016/j.automatica.2014.10.050 ◽

2014 ◽

Vol 50 (12) ◽

pp. 3246-3252

Author(s):

Gilles Millérioux ◽

Jamal Daafouz

Keyword(s):

Dynamical Systems ◽

Finite Fields ◽

Linear Dynamical Systems

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Linear Dynamical Systems

10.1016/s0076-5392(08)x6189-2 ◽

1977 ◽

Keyword(s):

Dynamical Systems ◽

Linear Dynamical Systems

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Comparison of the methods of parametric identification of linear dynamical systems under mixed noise

Sibirskii zhurnal chistoi i prikladnoi matematiki ◽

10.33048/pam.2018.18.305 ◽

2018 ◽

Vol 18 (3) ◽

pp. 45-59

Author(s):

A. A. Lomov ◽

A. V. Fedoseev

Keyword(s):

Dynamical Systems ◽

Parametric Identification ◽

Linear Dynamical Systems ◽

Mixed Noise

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Gramians, Energy Functionals, and Balanced Truncation for Linear Dynamical Systems with Quadratic Outputs

IEEE Transactions on Automatic Control ◽

10.1109/tac.2021.3086319 ◽

2021 ◽

pp. 1-1

Author(s):

Peter Benner ◽

Pawan Goyal ◽

Igor Pontesduffpereira

Keyword(s):

Dynamical Systems ◽

Balanced Truncation ◽

Linear Dynamical Systems ◽

Energy Functionals

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Initial-Value Privacy of Linear Dynamical Systems

2020 59th IEEE Conference on Decision and Control (CDC) ◽

10.1109/cdc42340.2020.9303900 ◽

2020 ◽

Author(s):

Lei Wang ◽

Ian R. Manchester ◽

Jochen Trumpf ◽

Guodong Shi

Keyword(s):

Dynamical Systems ◽

Initial Value ◽

Linear Dynamical Systems

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Simulation versus experiment in non-linear dynamical systems

Chaos Solitons & Fractals ◽

10.1016/j.chaos.2021.110656 ◽

2021 ◽

Vol 144 ◽

pp. 110656

Author(s):

Ludovico Minati

Keyword(s):

Dynamical Systems ◽

Linear Dynamical Systems ◽

Non Linear

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Space–time reduced order model for large-scale linear dynamical systems with application to Boltzmann transport problems

Journal of Computational Physics ◽

10.1016/j.jcp.2020.109845 ◽

2021 ◽

Vol 424 ◽

pp. 109845

Author(s):

Youngsoo Choi ◽

Peter Brown ◽

William Arrighi ◽

Robert Anderson ◽

Kevin Huynh

Keyword(s):

Dynamical Systems ◽

Large Scale ◽

Space Time ◽

Reduced Order Model ◽

Boltzmann Transport ◽

Order Model ◽

Linear Dynamical Systems ◽

Reduced Order ◽

Transport Problems

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Optimal-observer design for linear dynamical systems with uncertain parameters

International Journal of Control ◽

10.1080/00207178708933762 ◽

1987 ◽

Vol 45 (2) ◽

pp. 701-711 ◽

Cited By ~ 10

Author(s):

SHENG-DE WANG ◽

TE-SON KUO CHEN-FA HSU

Keyword(s):

Dynamical Systems ◽

Observer Design ◽

Uncertain Parameters ◽

Linear Dynamical Systems

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Necessary and Sufficient Conditions for Designing Optimal Feedback Controllers for Linear Dynamical Systems with Multiple Time Delays *

IFAC Proceedings Volumes ◽

10.1016/s1474-6670(17)66963-5 ◽

1977 ◽

Vol 10 (5) ◽

pp. 285-292

Author(s):

Omer L. Mercier

Keyword(s):

Dynamical Systems ◽

Time Delays ◽

Sufficient Conditions ◽

Necessary And Sufficient Conditions ◽

Multiple Time ◽

Feedback Controllers ◽

Linear Dynamical Systems ◽

Optimal Feedback ◽

Multiple Time Delays ◽

Necessary And Sufficient

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A generalized orthonormal basis for linear dynamical systems

IEEE Transactions on Automatic Control ◽

10.1109/9.376057 ◽

1995 ◽

Vol 40 (3) ◽

pp. 451-465 ◽

Cited By ~ 234

Author(s):

P.S.C. Heuberger ◽

P.M.J. Van den Hof ◽

O.H. Bosgra

Keyword(s):

Dynamical Systems ◽

Orthonormal Basis ◽

Linear Dynamical Systems

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Learning linear dynamical systems without sequence information

Proceedings of the 26th Annual International Conference on Machine Learning - ICML '09 ◽

10.1145/1553374.1553430 ◽

2009 ◽

Author(s):

Tzu-Kuo Huang ◽

Jeff Schneider

Keyword(s):

Dynamical Systems ◽

Sequence Information ◽

Linear Dynamical Systems

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