New Results on Finite-Time Synchronization of Delayed Fuzzy Neural Networks with Inertial Effects

International Journal of Fuzzy Systems ◽

10.1007/s40815-021-01171-1 ◽

2021 ◽

Author(s):

Lian Duan ◽

Min Shi ◽

Chuangxia Huang ◽

Minglei Fang

Keyword(s):

Neural Networks ◽

Finite Time ◽

Time Synchronization ◽

Fuzzy Neural Networks ◽

Inertial Effects ◽

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Complete and finite-time synchronization of fractional-order fuzzy neural networks via nonlinear feedback control

Fuzzy Sets and Systems ◽

10.1016/j.fss.2021.11.004 ◽

2021 ◽

Author(s):

Hong-Li Li ◽

Cheng Hu ◽

Long Zhang ◽

Haijun Jiang ◽

Jinde Cao

Keyword(s):

Neural Networks ◽

Feedback Control ◽

Fractional Order ◽

Finite Time ◽

Time Synchronization ◽

Fuzzy Neural Networks ◽

Nonlinear Feedback Control ◽

Nonlinear Feedback ◽

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Finite-time synchronization of multi-coupling stochastic fuzzy neural networks with mixed delays via feedback control

Fuzzy Sets and Systems ◽

10.1016/j.fss.2020.07.015 ◽

2020 ◽

Author(s):

Dongsheng Xu ◽

Yu Liu ◽

Ming Liu

Keyword(s):

Neural Networks ◽

Feedback Control ◽

Finite Time ◽

Time Synchronization ◽

Fuzzy Neural Networks ◽

Mixed Delays ◽

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Finite-Time and Fixed-Time Synchronization Criteria for Discontinuous Fuzzy Neural Networks of Neutral-Type in Hale’s Form

IEEE Access ◽

10.1109/access.2019.2930678 ◽

2019 ◽

Vol 7 ◽

pp. 99842-99855 ◽

Author(s):

Fanchao Kong ◽

Quanxin Zhu

Keyword(s):

Neural Networks ◽

Finite Time ◽

Time Synchronization ◽

Neutral Type ◽

Fuzzy Neural Networks ◽

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Finite-time synchronization of nonidentical BAM discontinuous fuzzy neural networks with delays and impulsive effects via non-chattering quantized control

Communications in Nonlinear Science and Numerical Simulation ◽

10.1016/j.cnsns.2019.104893 ◽

2019 ◽

Vol 78 ◽

pp. 104893 ◽

Author(s):

Rongqiang Tang ◽

Xinsong Yang ◽

Xiaoxiao Wan ◽

Yi Zou ◽

Zunshui Cheng ◽

...

Keyword(s):

Neural Networks ◽

Finite Time ◽

Time Synchronization ◽

Fuzzy Neural Networks ◽

Impulsive Effects ◽

Quantized Control ◽

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Finite-time decentralized event-triggering non-fragile control for fuzzy neural networks with cyber-attack and energy constraints

European Journal of Control ◽

10.1016/j.ejcon.2020.05.001 ◽

2020 ◽

Author(s):

S. Kanakalakshmi ◽

R. Sakthivel ◽

S.A. Karthick ◽

A. Leelamani ◽

A. Parivallal

Keyword(s):

Neural Networks ◽

Finite Time ◽

Fuzzy Neural Networks ◽

Cyber Attack ◽

Event Triggering ◽

Energy Constraints ◽

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Finite-time stability for a class of fractional-order fuzzy neural networks with proportional delay

Fuzzy Sets and Systems ◽

10.1016/j.fss.2019.04.010 ◽

2020 ◽

Vol 381 ◽

pp. 68-77 ◽

Author(s):

Swati Tyagi ◽

S.C. Martha

Keyword(s):

Neural Networks ◽

Fractional Order ◽

Finite Time ◽

Fuzzy Neural Networks ◽

Proportional Delay ◽

Time Stability ◽

Finite Time Stability ◽

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A General Approach to Fixed-time Synchronization Problem for Fractional-order Multi-dimension-valued Fuzzy Neural Networks Based on Memristor

IEEE Transactions on Fuzzy Systems ◽

10.1109/tfuzz.2021.3051308 ◽

2021 ◽

pp. 1-1

Author(s):

Jianying Xiao ◽

Jun Cheng ◽

Kaibo Shi ◽

Ruimei Zhang

Keyword(s):

Neural Networks ◽

Fractional Order ◽

Time Synchronization ◽

Fuzzy Neural Networks ◽

Synchronization Problem ◽

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Finite-time extended dissipativity of delayed Takagi–Sugeno fuzzy neural networks using a free-matrix-based double integral inequality

Neural Computing and Applications ◽

10.1007/s00521-019-04348-w ◽

2019 ◽

Vol 32 (12) ◽

pp. 8517-8528 ◽

Author(s):

Saravanan Shanmugam ◽

Syed Ali Muhammed ◽

Gyu M. Lee

Keyword(s):

Neural Networks ◽

Integral Inequality ◽

Finite Time ◽

Fuzzy Neural Networks ◽

Double Integral ◽

Fuzzy Neural ◽

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Fixed/predefined-time synchronization of fuzzy neural networks with stochastic perturbations

Chaos Solitons & Fractals ◽

10.1016/j.chaos.2021.111596 ◽

2021 ◽

pp. 111596

Author(s):

Mairemunisa Abudusaimaiti ◽

Abdujelil Abdurahman ◽

Haijun Jiang ◽

Cheng Hu

Keyword(s):

Neural Networks ◽

Time Synchronization ◽

Fuzzy Neural Networks ◽

Stochastic Perturbations ◽

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A direct adaptive control scheme for robot trajectory tracking using fuzzy neural networks

Iraqi Journal for Electrical And Electronic Engineering ◽

10.33762/eeej.2007.55265 ◽

2007 ◽

Vol 3 (1) ◽

pp. 1-10

Author(s):

M. Al dossari ◽

T.Y. Abdalla

Keyword(s):

Neural Networks ◽

Adaptive Control ◽

Trajectory Tracking ◽

Fuzzy Neural Networks ◽

Direct Adaptive Control ◽

Robot Trajectory ◽

Control Scheme ◽

Fuzzy Neural ◽

Adaptive Control Scheme

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