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Published in 2019 at "International Journal of Robust and Nonlinear Control"
DOI: 10.1002/rnc.4658
Abstract: In this paper, an adaptive neural network control system is developed for a nonlinear three‐dimensional Euler‐Bernoulli beam with unknown control direction. The Euler‐Bernoulli beam is modeled as a combination of partial differential equations (PDEs) and…
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Keywords:
control direction;
euler bernoulli;
unknown control;
bernoulli beam ... See more keywords
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Published in 2020 at "International Journal of Robust and Nonlinear Control"
DOI: 10.1002/rnc.5336
Abstract: This article investigates the control issue for systems subjected to unmatched disturbances and unknown control direction simultaneously. A class of adaptive nonlinear disturbance observer is developed to estimate the unmatched disturbances precisely and then extended…
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Keywords:
control direction;
unknown control;
unmatched disturbances;
systems subjected ... See more keywords
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Published in 2021 at "Nonlinear Dynamics"
DOI: 10.1007/s11071-021-06684-w
Abstract: This paper presents an event-triggered adaptive consensus algorithm to deal with the consensus problem for nonlinear multi-agent systems (MASs) with unknown control direction and actuator failures. The nonlinear dynamics and the disturbance considered in this…
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Keywords:
control;
multi agent;
agent systems;
event triggered ... See more keywords
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Published in 2017 at "International Journal of Automation and Computing"
DOI: 10.1007/s11633-015-0936-4
Abstract: This paper considers the output tracking problem for more general classes of stochastic nonlinear systems with unknown control coefficients and driven by noise of unknown covariance. By utilizing the radial basis function neural network approximation…
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Keywords:
stochastic nonlinear;
control;
unknown control;
output tracking ... See more keywords
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Published in 2017 at "Optik"
DOI: 10.1016/j.ijleo.2016.12.045
Abstract: Abstract In this paper, we investigate the synchronization problem of chaotic systems with unknown control direction under input saturation nonlinearity. By utilizing backstepping technique, an adaptive neural synchronization control scheme is developed via neural approximation…
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Keywords:
input saturation;
control;
unknown control;
saturation ... See more keywords
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Published in 2018 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.01.023
Abstract: Abstract In this paper, the problem of observer-based adaptive tracking control is investigated for a class of nonlinear systems with unknown control direction, input saturation and tracking error constraint. The Nussbaum function is employed to…
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Keywords:
control direction;
control;
tracking control;
unknown control ... See more keywords
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Published in 2018 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.03.063
Abstract: Abstract This paper investigates the leaderless consensus problem in the presence of unknown control directions and position constraints under directed graph. Based on the Nussbaum-gain technique and Barrier Lyapunov functions, the position-constrained consensus protocol is…
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Keywords:
control directions;
agent;
control;
position ... See more keywords
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Published in 2018 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.05.063
Abstract: Abstract This paper addresses the adaptive prescribed performance tracking control problem for a class of nonlinear time-delay systems with actuator fault, input quantization, unknown control directions and disturbances. Neural networks (NNs) are employed to approximate…
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Keywords:
control directions;
input quantization;
control;
unknown control ... See more keywords
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Published in 2019 at "Neurocomputing"
DOI: 10.1016/j.neucom.2019.08.066
Abstract: Abstract This paper investigates the prescribed performance tracking control problem for a class of feedback linearizable multi-input and multi-output (MIMO) nonlinear systems with immeasurable states and unknown control direction. The fuzzy systems are employed to…
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Keywords:
control direction;
control;
unknown control;
adaptive fuzzy ... See more keywords
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Published in 2017 at "International Journal of Systems Science"
DOI: 10.1080/00207721.2016.1221482
Abstract: ABSTRACT The problem of adaptive control is studied for a class of nonlinearly parameterised systems with quantised input signal and unknown control directions. The homogeneous domination approach and the Nussbaum-type gain method are applied to…
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Keywords:
control directions;
nonlinearly parameterised;
adaptive control;
parameterised systems ... See more keywords
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Published in 2021 at "International Journal of Systems Science"
DOI: 10.1080/00207721.2021.1954719
Abstract: In this paper, the finite-time adaptive fuzzy control method is proposed for nonlinear nonstrict-feedback multi-agent systems (MASs) with unknown control directions. The Nussbaum function is introd...
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Keywords:
control directions;
finite time;
control;
agent systems ... See more keywords