Lyapunov theory based stable Markov game fuzzy control for non-linear systems

Engineering Applications of Artificial Intelligence ◽

10.1016/j.engappai.2016.06.008 ◽

2016 ◽

Vol 55 ◽

pp. 119-127 ◽

Author(s):

Rajneesh Sharma

Keyword(s):

Fuzzy Control ◽

Linear Systems ◽

Lyapunov Theory ◽

Markov Game ◽

Non Linear Systems

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Adaptive fuzzy control for non‐strict‐feedback stochastic uncertain non‐linear systems based on event‐triggered strategy

IET Control Theory and Applications ◽

10.1049/cth2.12099 ◽

2021 ◽

Author(s):

Yuxiao Lian ◽

Jianwei Xia ◽

Wei Sun ◽

Zhen Wang ◽

Huasheng Zhang

Keyword(s):

Fuzzy Control ◽

Linear Systems ◽

Adaptive Fuzzy Control ◽

Adaptive Fuzzy ◽

Non Linear Systems ◽

Event Triggered ◽

Strict Feedback

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A STABLE HIERARCHICAL FUZZY CONTROL DESIGN FOR CERTAIN NON-LINEAR SYSTEMS BASED ON INPUT–OUTPUT PASSIVITY THEORY

Control and Intelligent Systems ◽

10.2316/journal.201.2009.2.201-2006 ◽

2009 ◽

Vol 37 (2) ◽

Author(s):

C. Xu∗ ◽

Y.C. Shin∗∗

Keyword(s):

Fuzzy Control ◽

Linear Systems ◽

Control Design ◽

Input Output ◽

Non Linear Systems ◽

Hierarchical Fuzzy Control

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Observer-based direct adaptive fuzzy control for single-input single-output non-linear systems with unknown gain sign

IET Control Theory and Applications ◽

10.1049/iet-cta.2015.0076 ◽

2015 ◽

Vol 9 (17) ◽

pp. 2506-2513 ◽

Author(s):

Wuxi Shi

Keyword(s):

Fuzzy Control ◽

Linear Systems ◽

Adaptive Fuzzy Control ◽

Single Input Single Output ◽

Adaptive Fuzzy ◽

Single Output ◽

Single Input ◽

Non Linear Systems ◽

Direct Adaptive Fuzzy Control

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Fuzzy control of non-linear systems using parameter-dependent polynomial fuzzy model

IET Control Theory and Applications ◽

10.1049/iet-cta.2011.0310 ◽

2012 ◽

Vol 6 (11) ◽

pp. 1645 ◽

Author(s):

H.K. Lam ◽

L.D. Seneviratne ◽

X. Ban

Keyword(s):

Fuzzy Control ◽

Linear Systems ◽

Fuzzy Model ◽

Non Linear Systems ◽

Parameter Dependent

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Fixed-time adaptive fuzzy control for uncertain non-linear systems under event-triggered strategy

IET Control Theory and Applications ◽

10.1049/iet-cta.2019.1274 ◽

2020 ◽

Vol 14 (14) ◽

pp. 1845-1854

Author(s):

Yekai Yang ◽

Yugang Niu

Keyword(s):

Fuzzy Control ◽

Linear Systems ◽

Adaptive Fuzzy Control ◽

Adaptive Fuzzy ◽

Non Linear Systems ◽

Event Triggered

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Indirect adaptive fuzzy control of non-linear systems using fuzzy supervisory term

International Journal of Computer Applications in Technology ◽

10.1504/ijcat.2019.10019440 ◽

2019 ◽

Vol 59 (2) ◽

pp. 130

Author(s):

Mohamed Chtourou ◽

Donia Ben Halima Abid

Keyword(s):

Fuzzy Control ◽

Linear Systems ◽

Adaptive Fuzzy Control ◽

Adaptive Fuzzy ◽

Non Linear Systems

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Comments on ‘Stabilisation conditions for fuzzy control of uncertain fractional order non-linear systems with random disturbances’

IET Control Theory and Applications ◽

10.1049/iet-cta.2016.1269 ◽

2018 ◽

Vol 12 (3) ◽

pp. 428-429

Author(s):

Xuefeng Zhang ◽

Yangyang Liu

Keyword(s):

Fuzzy Control ◽

Linear Systems ◽

Fractional Order ◽

Random Disturbances ◽

Non Linear Systems

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Comparison of Conventional and Fuzzy-Control of Non-Linear Systems

Fuzzy-Systems in Computer Science ◽

10.1007/978-3-322-86825-1_6 ◽

1994 ◽

pp. 75-87 ◽

Author(s):

Heiko Knappe

Keyword(s):

Fuzzy Control ◽

Linear Systems ◽

Non Linear Systems

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Variance and passivity constrained sliding mode fuzzy control for continuous stochastic non-linear systems

Neurocomputing ◽

10.1016/j.neucom.2016.03.037 ◽

2016 ◽

Vol 201 ◽

pp. 29-39 ◽

Author(s):

Wen-Jer Chang ◽

Po-Hsun Chen ◽

Cheung-Chieh Ku

Keyword(s):

Fuzzy Control ◽

Linear Systems ◽

Sliding Mode ◽

Non Linear Systems

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GA and Lyapunov theory-based hybrid adaptive fuzzy controller for non-linear systems

International Journal of Electronics ◽

10.1080/00207217.2014.896418 ◽

2014 ◽

Vol 102 (2) ◽

pp. 312-325 ◽

Author(s):

Ananya Roy ◽

Kaushik Das Sharma

Keyword(s):

Linear Systems ◽

Fuzzy Controller ◽

Lyapunov Theory ◽

Adaptive Fuzzy Controller ◽

Adaptive Fuzzy ◽

Non Linear Systems

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