A Kernel Subspace Method by Stochastic Realization for Learning Nonlinear Dynamical Systems

Advances in Neural Information Processing Systems 19 ◽

10.7551/mitpress/7503.003.0088 ◽

2007 ◽

Keyword(s):

Dynamical Systems ◽

Nonlinear Dynamical Systems ◽

Subspace Method ◽

Nonlinear Dynamical ◽

Stochastic Realization

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Noise in Nonlinear Dynamical Systems

10.1017/cbo9780511897825 ◽

1989 ◽

Keyword(s):

Dynamical Systems ◽

Nonlinear Dynamical Systems ◽

Nonlinear Dynamical

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Control Synthesis for Linear and Nonlinear Dynamical Systems under Bounded Measurement Errors of a State Vector

Journal of Automation and Information Sciences ◽

10.1615/jautomatinfscien.v48.i1.20 ◽

2016 ◽

Vol 48 (1) ◽

pp. 2-14

Author(s):

Vsevolod M. Kuntsevich

Keyword(s):

Dynamical Systems ◽

State Vector ◽

Measurement Errors ◽

Nonlinear Dynamical Systems ◽

Control Synthesis ◽

Nonlinear Dynamical ◽

Linear And Nonlinear

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Discrepancy Driven Adaptive Monte Carlo for Forward Uncertainty Forecasting in Nonlinear Dynamical Systems

2018 Annual American Control Conference (ACC) ◽

10.23919/acc.2018.8431731 ◽

2018 ◽

Author(s):

Chao Yang ◽

Mrinal Kumar

Keyword(s):

Monte Carlo ◽

Dynamical Systems ◽

Nonlinear Dynamical Systems ◽

Nonlinear Dynamical ◽

Adaptive Monte Carlo

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A Support Vector Regression Approach for Recursive vskip0.2 baselineskip Simultaneous Data Reconciliation and Gross ErrorDetection in Nonlinear Dynamical Systems

ACTA AUTOMATICA SINICA ◽

10.3724/sp.j.1004.2009.00707 ◽

2009 ◽

Vol 35 (6) ◽

pp. 707-716 ◽

Author(s):

Yu MIAO ◽

Hong-Ye SU ◽

Jian CHU

Keyword(s):

Dynamical Systems ◽

Support Vector Regression ◽

Nonlinear Dynamical Systems ◽

Data Reconciliation ◽

Support Vector ◽

Nonlinear Dynamical ◽

Regression Approach

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Nonlinear Dynamical Systems in Mechanics and Biology.

10.21236/ada299148 ◽

1995 ◽

Author(s):

Philip Holmes

Keyword(s):

Dynamical Systems ◽

Nonlinear Dynamical Systems ◽

Nonlinear Dynamical

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Reduction of nonlinear dynamical systems excited by random loads

PAMM ◽

10.1002/pamm.201900496 ◽

2019 ◽

Vol 19 (1) ◽

Author(s):

Leo Dostal

Keyword(s):

Dynamical Systems ◽

Nonlinear Dynamical Systems ◽

Nonlinear Dynamical ◽

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Learning Multiple Nonlinear Dynamical Systems with Side Information

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

10.1109/cdc42340.2020.9304482 ◽

2020 ◽

Author(s):

Naoya Takeishi ◽

Yoshinobu Kawahara

Keyword(s):

Dynamical Systems ◽

Nonlinear Dynamical Systems ◽

Side Information ◽

Nonlinear Dynamical

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Optimal Auxiliary Functions Method for Nonlinear Dynamical Systems

10.1007/978-3-030-75653-6 ◽

2021 ◽

Author(s):

Vasile Marinca ◽

Nicolae Herisanu ◽

Bogdan Marinca

Keyword(s):

Dynamical Systems ◽

Nonlinear Dynamical Systems ◽

Nonlinear Dynamical ◽

Auxiliary Functions

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Nonlinear Dynamical Systems Modelling and Identification Using Type-2 Fuzzy Logic. Metaheuristic Algorithms Based Approach.

2020 International Conference on Electrical Engineering (ICEE) ◽

10.1109/icee49691.2020.9249916 ◽

2020 ◽

Author(s):

Mohammed Assam OUALI ◽

Mohamed LADJAL

Keyword(s):

Fuzzy Logic ◽

Dynamical Systems ◽

Nonlinear Dynamical Systems ◽

Metaheuristic Algorithms ◽

Nonlinear Dynamical ◽

Systems Modelling

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Learning Stable Nonlinear Dynamical Systems with External Inputs using Gaussian Mixture Models

2018 Annual American Control Conference (ACC) ◽

10.23919/acc.2018.8431461 ◽

2018 ◽

Author(s):

Harish chaandar Ravichandar ◽

Iman Salehi ◽

Brian P. Baillie ◽

George M. Bollas ◽

Ashwin Dani

Keyword(s):

Dynamical Systems ◽

Mixture Models ◽

Nonlinear Dynamical Systems ◽

Gaussian Mixture Models ◽

Gaussian Mixture ◽

Nonlinear Dynamical

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