Computational Intelligence in Uncertainty Quantification for Learning Control and Differential Games

Handbook of Reinforcement Learning and Control - Studies in Systems, Decision and Control ◽

10.1007/978-3-030-60990-0_13 ◽

2021 ◽

pp. 385-418

Author(s):

Mushuang Liu ◽

Yan Wan ◽

Zongli Lin ◽

Frank L. Lewis ◽

Junfei Xie ◽

...

Keyword(s):

Uncertainty Quantification ◽

Differential Games ◽

Computational Intelligence ◽

Learning Control

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Self-learning Control Schemes for Two-Person Zero-Sum Differential Games of Continuous-Time Nonlinear Systems with Saturating Controllers

Advances in Neural Networks – ISNN 2012 - Lecture Notes in Computer Science ◽

10.1007/978-3-642-31362-2_59 ◽

2012 ◽

pp. 534-543

Author(s):

Qinglai Wei ◽

Derong Liu

Keyword(s):

Nonlinear Systems ◽

Differential Games ◽

Continuous Time ◽

Learning Control ◽

Control Schemes ◽

Zero Sum ◽

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A Survey of Computational Intelligence Techniques for Wind Power Uncertainty Quantification in Smart Grids

IEEE Transactions on Neural Networks and Learning Systems ◽

10.1109/tnnls.2019.2956195 ◽

2020 ◽

Vol 31 (11) ◽

pp. 4582-4599 ◽

Author(s):

Hao Quan ◽

Abbas Khosravi ◽

Dazhi Yang ◽

Dipti Srinivasan

Keyword(s):

Uncertainty Quantification ◽

Computational Intelligence ◽

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Computational intelligence approach for uncertainty quantification using evidence theory

Journal of Systems Engineering and Electronics ◽

10.1109/jsee.2013.00032 ◽

2013 ◽

Vol 24 (2) ◽

pp. 250-260 ◽

Author(s):

Bin Suo ◽

Yongsheng Cheng ◽

Chao Zeng ◽

Jun Li

Keyword(s):

Uncertainty Quantification ◽

Computational Intelligence ◽

Evidence Theory ◽

Intelligence Approach

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Computational Intelligence

10.1061/9780784407608 ◽

2004 ◽

Keyword(s):

Computational Intelligence

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Parameter Estimation and Uncertainty Quantification in Water Resources Modeling

10.3389/978-2-88963-674-7 ◽

2020 ◽

Keyword(s):

Parameter Estimation ◽

Water Resources ◽

Uncertainty Quantification

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Learning Control for Time-Delay Systems with Multi-Tasks

IEEJ Transactions on Electronics Information and Systems ◽

10.1541/ieejeiss1987.115.1_167 ◽

1995 ◽

Vol 115 (1) ◽

pp. 167-168

Author(s):

Tohru Takahashi ◽

Yoshirou Tajima ◽

Kohji Shirane ◽

Naoki Matsumoto

Keyword(s):

Learning Control ◽

Delay Systems ◽

Time Delay Systems

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Vibration Suppression Control Method for PMSMs Based on Learning Control Corresponding to Operating Point Changes

IEEJ Transactions on Industry Applications ◽

10.1541/ieejias.137.10 ◽

2017 ◽

Vol 137 (1) ◽

pp. 10-16

Author(s):

Satomi Hattori

Keyword(s):

Vibration Suppression ◽

Control Method ◽

Learning Control ◽

Operating Point

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UNCERTAINTY QUANTIFICATION TOWARDS FILTERING OPTIMIZATION IN SCENE MATCHING AIDED NAVIGATION SYSTEMS

International Journal for Uncertainty Quantification ◽

10.1615/int.j.uncertaintyquantification.2016016561 ◽

2016 ◽

Vol 6 (2) ◽

pp. 127-140

Author(s):

Shengdi Zhang ◽

Xiaojun Duan ◽

Lijun Peng

Keyword(s):

Uncertainty Quantification ◽

Navigation Systems ◽

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INVERSE UNCERTAINTY QUANTIFICATION OF A CELL MODEL USING A GAUSSIAN PROCESS METAMODEL

International Journal for Uncertainty Quantification ◽

10.1615/int.j.uncertaintyquantification.2020033186 ◽

2020 ◽

Vol 10 (4) ◽

pp. 333-349

Author(s):

Kevin de Vries ◽

Anna Nikishova ◽

Benjamin Czaja ◽

Gábor Závodszky ◽

Alfons G. Hoekstra

Keyword(s):

Gaussian Process ◽

Uncertainty Quantification ◽

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UNCERTAINTY QUANTIFICATION FOR NATURAL CONVECTION IN RANDOM POROUS MEDIA WITH INTRUSIVE POLYNOMIAL CHAOS EXPANSION

Journal of Porous Media ◽

10.1615/jpormedia.2020033288 ◽

2020 ◽

Vol 23 (7) ◽

pp. 641-661

Author(s):

Changwei Jiang ◽

Yi Jiang ◽

Er Shi

Keyword(s):

Porous Media ◽

Natural Convection ◽

Uncertainty Quantification ◽

Polynomial Chaos ◽

Polynomial Chaos Expansion ◽

Chaos Expansion ◽

Random Porous Media

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