Minimising entropy and mean tracking control for affine nonlinear and non-Gaussian dynamic stochastic systems

IEE Proceedings - Control Theory and Applications ◽

10.1049/ip-cta:20040488 ◽

2004 ◽

Vol 151 (4) ◽

pp. 422-428 ◽

Author(s):

A. Wang ◽

H. Wang

Keyword(s):

Tracking Control ◽

Stochastic Systems ◽

Dynamic Stochastic ◽

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Minimum entropy control of non-Gaussian dynamic stochastic systems

Proceedings of the 40th IEEE Conference on Decision and Control (Cat. No.01CH37228) ◽

10.1109/cdc.2001.980130 ◽

2003 ◽

Author(s):

Hong Wang ◽

Hong Yue

Keyword(s):

Stochastic Systems ◽

Minimum Entropy ◽

Dynamic Stochastic ◽

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Anti-disturbance iterative learning tracking control for general non-Gaussian stochastic systems

Proceeding of the 11th World Congress on Intelligent Control and Automation ◽

10.1109/wcica.2014.7052735 ◽

2014 ◽

Author(s):

Yang Yi ◽

Lei Guo ◽

Hong Wang

Keyword(s):

Tracking Control ◽

Stochastic Systems ◽

Iterative Learning ◽

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Pseudo-PID tracking control for a class of output PDFs of general non-Gaussian stochastic systems

Proceedings of the 2003 American Control Conference, 2003. ◽

10.1109/acc.2003.1238971 ◽

2004 ◽

Author(s):

L. Guo ◽

H. Wang

Keyword(s):

Tracking Control ◽

Stochastic Systems ◽

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Statistic PID tracking control for non-Gaussian stochastic systems based on T-S fuzzy model

International Journal of Automation and Computing ◽

10.1007/s11633-009-0081-z ◽

2009 ◽

Vol 6 (1) ◽

pp. 81-87 ◽

Author(s):

Yang Yi ◽

Hong Shen ◽

Lei Guo

Keyword(s):

Tracking Control ◽

Stochastic Systems ◽

Fuzzy Model ◽

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Control of conditional output probability density functions for general nonlinear and non-Gaussian dynamic stochastic systems

IEE Proceedings - Control Theory and Applications ◽

10.1049/ip-cta:20030143 ◽

2003 ◽

Vol 150 (1) ◽

pp. 55-60 ◽

Author(s):

H. Wang

Keyword(s):

Probability Density ◽

Stochastic Systems ◽

Probability Density Functions ◽

Density Functions ◽

Dynamic Stochastic ◽

Non Gaussian ◽

Output Probability

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Minimum entropy control of non-Gaussian dynamic stochastic systems

IEEE Transactions on Automatic Control ◽

10.1109/9.983388 ◽

2002 ◽

Vol 47 (2) ◽

pp. 398-403 ◽

Author(s):

H. Wang

Keyword(s):

Stochastic Systems ◽

Minimum Entropy ◽

Dynamic Stochastic ◽

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Minimum entropy control for non-linear and non-Gaussian two-input and two-output dynamic stochastic systems

IET Control Theory and Applications ◽

10.1049/iet-cta.2011.0791 ◽

2012 ◽

Vol 6 (15) ◽

pp. 2434-2441 ◽

Author(s):

J. Zhang ◽

H. Wang ◽

M. Ren

Keyword(s):

Stochastic Systems ◽

Minimum Entropy ◽

Dynamic Stochastic ◽

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An Error-Entropy Minimization Algorithm for Tracking Control of Nonlinear Stochastic Systems with Non-Gaussian Variables * *This work was supported in part by the National Natural Science Foundation of China under Grant 61333007, 61621004, 61573022, the Chinese National Post-doctor Science Foundation under Grants 2015M571322 and CCSI of the Pacific Northwest National Laboratory.

IFAC-PapersOnLine ◽

10.1016/j.ifacol.2017.08.1720 ◽

2017 ◽

Vol 50 (1) ◽

pp. 10407-10412 ◽

Author(s):

Yunlong Liu ◽

Aiping Wang ◽

Lei Guo ◽

Hong Wang

Keyword(s):

Pacific Northwest ◽

Tracking Control ◽

Stochastic Systems ◽

National Laboratory ◽

Pacific Northwest National Laboratory ◽

Northwest National Laboratory ◽

Minimization Algorithm ◽

Nonlinear Stochastic Systems ◽

The Pacific ◽

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Modern methods for the statistical description of dynamic stochastic systems

Uspekhi Fizicheskih Nauk ◽

10.3367/ufnr.0179.200905j.0547 ◽

2009 ◽

Vol 179 (5) ◽

pp. 547 ◽

Author(s):

Valerii I. Klyatskin

Keyword(s):

Stochastic Systems ◽

Modern Methods ◽

Dynamic Stochastic

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Variance decompositions of nonlinear-dynamic stochastic systems

Journal of Process Control ◽

10.1016/j.jprocont.2009.08.001 ◽

2010 ◽

Vol 20 (2) ◽

pp. 195-205 ◽

Author(s):

T.J. Harris ◽

W. Yu

Keyword(s):

Nonlinear Dynamic ◽

Stochastic Systems ◽

Variance Decompositions ◽

Dynamic Stochastic

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