Maximum likelihood identification of multivariable bilinear state-space systems by projected gradient search

Proceedings of the 41st IEEE Conference on Decision and Control, 2002. ◽

10.1109/cdc.2002.1184786 ◽

2003 ◽

Author(s):

V. Verdult ◽

N. Bergboer ◽

M. Verhaegen

Keyword(s):

Maximum Likelihood ◽

State Space ◽

Space Systems ◽

Gradient Search ◽

Projected Gradient ◽

State Space Systems

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Identification of fully parameterized linear and nonlinear state-space systems by projected gradient search

IFAC Proceedings Volumes ◽

10.1016/s1474-6670(17)34845-0 ◽

2003 ◽

Vol 36 (16) ◽

pp. 711-716 ◽

Author(s):

Vincent Verdult ◽

Niek Bergboer ◽

Michel Verhaegen

Keyword(s):

State Space ◽

Space Systems ◽

Gradient Search ◽

Projected Gradient ◽

State Space Systems ◽

Linear And Nonlinear ◽

Nonlinear State

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Hierarchical Optimization Identification of LTI State-space Systems by Projected Gradient Search

ACTA AUTOMATICA SINICA ◽

10.3724/sp.j.1004.2008.00711 ◽

2009 ◽

Vol 34 (6) ◽

pp. 711-715 ◽

Author(s):

Lu-Sheng ZHONG

Keyword(s):

State Space ◽

Hierarchical Optimization ◽

Space Systems ◽

Gradient Search ◽

Projected Gradient ◽

State Space Systems

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Identification of multivariable LPV state space systems by local gradient search

2001 European Control Conference (ECC) ◽

10.23919/ecc.2001.7076505 ◽

2001 ◽

Author(s):

Vincent Verdult ◽

Michel Verhaegen

Keyword(s):

State Space ◽

Space Systems ◽

Gradient Search ◽

State Space Systems ◽

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CHAPTER 7: Maximum Likelihood Estimation of Gaussian ARMAX and State-Space Systems

Linear Stochastic Systems ◽

10.1137/1.9781611974713.ch7 ◽

2018 ◽

pp. 411-481

Keyword(s):

Maximum Likelihood ◽

Maximum Likelihood Estimation ◽

State Space ◽

Likelihood Estimation ◽

Space Systems ◽

State Space Systems

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Recursive maximum likelihood parameter estimation for state space systems using polynomial chaos theory

10.1016/j.automatica.2011.08.014 ◽

2011 ◽

Vol 47 (11) ◽

pp. 2420-2424 ◽

Author(s):

Benjamin L. Pence ◽

Hosam K. Fathy ◽

Jeffrey L. Stein

Keyword(s):

Parameter Estimation ◽

Maximum Likelihood ◽

State Space ◽

Chaos Theory ◽

Polynomial Chaos ◽

Space Systems ◽

State Space Systems ◽

Polynomial Chaos Theory

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Model reduction of state space systems via EN updating scheme

1997 European Control Conference (ECC) ◽

10.23919/ecc.1997.7082181 ◽

1997 ◽

Author(s):

Marko Huhtanen

Keyword(s):

Model Reduction ◽

State Space ◽

Space Systems ◽

State Space Systems

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Practical output regulation for bounded linear infinite-dimensional state space systems

10.1016/j.automatica.2006.11.009 ◽

2007 ◽

Vol 43 (5) ◽

pp. 786-794 ◽

Author(s):

Eero Immonen

Keyword(s):

State Space ◽

Output Regulation ◽

Space Systems ◽

Bounded Linear ◽

Infinite Dimensional ◽

Dimensional State Space ◽

State Space Systems

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Bilinear state space systems for nonlinear dynamical modelling

Theory in Biosciences ◽

10.1007/s12064-000-0001-9 ◽

2000 ◽

Vol 119 (1) ◽

pp. 1-9 ◽

Author(s):

Vincent Verdult ◽

Michel Verhaegen

Keyword(s):

State Space ◽

Space Systems ◽

Nonlinear Dynamical ◽

State Space Systems ◽

Dynamical Modelling

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Dynamic Precompensation for the Discrete Time Control Design of Continuous Time Generalized State Space Systems

Intelligent Automation & Soft Computing ◽

10.1080/10798587.1998.10750735 ◽

1998 ◽

Vol 4 (3) ◽

pp. 253-260

Author(s):

Dimitri Lefebvre ◽

Frédéric Rotella

Keyword(s):

State Space ◽

Discrete Time ◽

Continuous Time ◽

Control Design ◽

Space Systems ◽

Time Control ◽

State Space Systems ◽

Generalized State Space ◽

Generalized State

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Proof of the circle criterion for state space systems via quadratic Lyapunov functions — Part 2

International Journal of Control ◽

10.1080/00207179308934422 ◽

1993 ◽

Vol 57 (4) ◽

pp. 957-969 ◽

Author(s):

PAUL F. CURRAN

Keyword(s):

State Space ◽

Lyapunov Functions ◽

Space Systems ◽

Circle Criterion ◽

Quadratic Lyapunov Functions ◽

State Space Systems

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