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

Gaussian Mixture Models ◽

Gaussian Mixture ◽

Learning Stable Nonlinear Dynamical Systems With Gaussian Mixture Models

IEEE Transactions on Robotics ◽

10.1109/tro.2011.2159412 ◽

2011 ◽

Vol 27 (5) ◽

pp. 943-957 ◽

Cited By ~ 279

Author(s):

S. Mohammad Khansari-Zadeh ◽

Aude Billard

Keyword(s):

Dynamical Systems ◽

Mixture Models ◽

Gaussian Mixture Models ◽

Gaussian Mixture ◽

Uncertainty Propagation for Nonlinear Dynamical Systems Using Gaussian Mixture Models

AIAA Guidance, Navigation and Control Conference and Exhibit ◽

10.2514/6.2008-7472 ◽

2008 ◽

Cited By ~ 4

Author(s):

Gabriel Terejanu ◽

Puneet Singla ◽

Tarunraj Singh ◽

Peter Scott

Keyword(s):

Dynamical Systems ◽

Mixture Models ◽

Uncertainty Propagation ◽

Gaussian Mixture Models ◽

Gaussian Mixture ◽

BM: An iterative algorithm to learn stable non-linear dynamical systems with Gaussian mixture models

2010 IEEE International Conference on Robotics and Automation ◽

10.1109/robot.2010.5510001 ◽

2010 ◽

Cited By ~ 32

Author(s):

S Mohammad Khansari-Zadeh ◽

Aude Billard

Keyword(s):

Dynamical Systems ◽

Mixture Models ◽

Iterative Algorithm ◽

Gaussian Mixture Models ◽

Gaussian Mixture ◽

Linear Dynamical Systems ◽

Non Linear

Noise in Nonlinear Dynamical Systems

10.1017/cbo9780511897825 ◽

1989 ◽

Cited By ~ 9

Keyword(s):

Dynamical Systems ◽

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 ◽

Control Synthesis ◽

Nonlinear Dynamical ◽

Linear And Nonlinear

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 ◽

Cited By ~ 2

Author(s):

Chao Yang ◽

Mrinal Kumar

Keyword(s):

Monte Carlo ◽

Dynamical Systems ◽

Nonlinear Dynamical ◽

Adaptive Monte Carlo

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 ◽

Cited By ~ 3

Author(s):

Yu MIAO ◽

Hong-Ye SU ◽

Jian CHU

Keyword(s):

Dynamical Systems ◽

Support Vector Regression ◽

Data Reconciliation ◽

Support Vector ◽

Nonlinear Dynamical ◽

Regression Approach

Nonlinear Dynamical Systems in Mechanics and Biology.

10.21236/ada299148 ◽

1995 ◽

Author(s):

Philip Holmes

Keyword(s):

Dynamical Systems ◽

Fast Clustering of GARCH Processes Via Gaussian Mixture Models

SSRN Electronic Journal ◽

10.2139/ssrn.2071716 ◽

2012 ◽

Author(s):

Gian Piero Aielli ◽

Massimiliano Caporin

Keyword(s):

Mixture Models ◽

Gaussian Mixture Models ◽

Gaussian Mixture ◽

Garch Processes

2018 56th Annual Allerton Conference on Communication, Control, and Computing (Allerton) ◽

Parameter Estimation in Gaussian Mixture Models with Malicious Noise, without Balanced Mixing Coefficients

10.1109/allerton.2018.8635825 ◽

2018 ◽

Cited By ~ 1

Author(s):

Jing Xu ◽

Jakub Marecek

Keyword(s):

Parameter Estimation ◽

Mixture Models ◽

Gaussian Mixture Models ◽

Gaussian Mixture ◽

Mixing Coefficients