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1
Published in 2017 at "International Journal of Fuzzy Systems"
DOI: 10.1007/s40815-016-0276-8
Abstract: By using the adaptive backstepping technique, a novel adaptive fuzzy backstepping control scheme is proposed for the nonlinear pure-feedback systems with external disturbance and unknown dead zone output in this paper. The proposed control scheme…
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Keywords:
zone output;
unknown dead;
external disturbance;
dead zone ... See more keywords
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1
Published in 2019 at "Nonlinear Analysis: Hybrid Systems"
DOI: 10.1016/j.nahs.2018.07.001
Abstract: Abstract In this paper, based on adaptive non-backstepping design algorithm, we proposed a novel variable universe fuzzy control (VUFC) algorithm for a class of MIMO nonlinear systems with unknown dead-zone inputs in pure-feedback form. First,…
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Keywords:
form;
feedback form;
pure feedback;
control ... See more keywords
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Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-90002-6
Abstract: A predefined-time (PT) tracking adaptive control method is studied for non-affine pure-feedback nonlinear systems, with an emphasis on its practical application in robotic exoskeleton technology. A novel PT neural networks control algorithm is implemented, by…
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Keywords:
control;
predefined time;
feedback nonlinear;
pure feedback ... See more keywords
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1
Published in 2017 at "Iet Control Theory and Applications"
DOI: 10.1049/iet-cta.2016.0991
Abstract: This study focuses on the problem of neural network (NN)-based tracking control for a class of uncertain multiple-input multiple-output non-linear systems in pure feedback form. An observer based on K-filters, is introduced to estimate immeasurable…
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Keywords:
neuro observer;
control pure;
control;
observer based ... See more keywords
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Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2938595
Abstract: A novel backstepping controller for uncertain single-input single-output pure-feedback nonaffine and nonautonomous nonlinear systems based on the time-derivative estimator(TDE) is proposed. Using TDEs, time-derivatives of error signals used in virtual control terms are directly estimated…
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Keywords:
pure feedback;
time;
controller uncertain;
feedback ... See more keywords
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1
Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3165567
Abstract: We present an adaptive quantized state feedback tracking methodology for a class of uncertain multiple-input multiple-output (MIMO) nonlinear block-triangular pure-feedback systems with state quantizers. Uniform quantizers are considered to quantize all measurable state variables for…
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Keywords:
state;
mimo nonlinear;
pure feedback;
state feedback ... See more keywords
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Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3459043
Abstract: This paper investigates the fixed-time fuzzy adaptive tracking control method based on Barrier Lyapunov Functions (BLFs) for nonlinear pure-feedback systems with full-state constraints and actuator faults. The Mean-Value Theorem (MVT) is used to transform the…
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Keywords:
tracking control;
time;
fixed time;
pure feedback ... See more keywords
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Published in 2021 at "IEEE Transactions on Control of Network Systems"
DOI: 10.1109/tcns.2021.3094785
Abstract: A novel proportional and delayed integral (PdI) transformation is proposed that recasts the cooperative control problem with communication delay to a simpler regulation problem. The PdI transformation enables the use of classical control techniques for…
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Keywords:
pure feedback;
state;
consensus;
state communication ... See more keywords
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Published in 2025 at "IEEE transactions on cybernetics"
DOI: 10.1109/tcyb.2025.3608353
Abstract: This article addresses the distributed aggregative optimization (DAO) problem for high-order nonlinear systems with unknown pure-feedback dynamics over directed unbalanced networks, with the key contribution being the extension of DAO methods to high-order nonlinear systems.…
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Keywords:
unknown pure;
high order;
sampled neighbor;
pure feedback ... See more keywords
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Published in 2019 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2018.2861942
Abstract: A novel adaptive neural output-feedback controller for SISO nonaffine pure-feedback nonlinear systems is proposed. The majority of the previously described adaptive neural controllers for pure-feedback nonlinear systems were based on the dynamic surface control (DSC)…
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Keywords:
output feedback;
pure feedback;
controller;
nonlinear systems ... See more keywords
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Published in 2021 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"
DOI: 10.1109/tsmc.2019.2931627
Abstract: Most existing adaptive control designs for nonlinear pure-feedback systems have been derived based on backstepping or dynamic surface control (DSC) methods, requiring full system states to be measurable. The neural networks (NNs) or fuzzy logic…
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Keywords:
pure feedback;
system;
control;
feedback control ... See more keywords