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Published in 2020 at "Aerospace Science and Technology"
DOI: 10.1016/j.ast.2019.105620
Abstract: Abstract This paper presents an estimator-based minimal learning parameter (EMLP) neuroadaptive dynamic surface containment control design capable of guaranteeing transient and steady-state behavior for multiple quadrotors with uncertainties, such that the followers can be driven…
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Keywords:
control;
estimator based;
neuroadaptive dynamic;
dynamic surface ... See more keywords
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Published in 2019 at "Control Engineering Practice"
DOI: 10.1016/j.conengprac.2019.02.006
Abstract: Abstract This paper deals with an application of the predictive functional control with a state estimator-based internal model (PFC_ EBIM). The PFC_ EBIM has been shown to be effective in simulation. However, neither detailed experimental validation nor…
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Keywords:
control;
functional control;
pfc ebim;
predictive functional ... See more keywords
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Published in 2018 at "Comptes Rendus Mathematique"
DOI: 10.1016/j.crma.2018.04.017
Abstract: This work deals with an a posteriori error estimator for hermitian positive eigenvalue problems. The proposed estimator is based on the residual and the definition of suitable shifts in the matrix spectrum. The mathematical properties…
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Keywords:
estimator;
estimator based;
eigenvalue problems;
error estimator ... See more keywords
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Published in 2022 at "IEEE Control Systems Letters"
DOI: 10.1109/lcsys.2022.3172791
Abstract: This letter studies the consensus problem of general linear multi-agent systems (GLMASs) with limitations of network bandwidth, by developing a novel distributed dynamic event-triggered protocol. First, by adopting an estimation algorithm and introducing an inner…
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Keywords:
event triggered;
triggered protocol;
estimator based;
distributed dynamic ... See more keywords
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Published in 2020 at "IEEE Transactions on Automatic Control"
DOI: 10.1109/tac.2019.2940567
Abstract: The robust control problem of a class of nonlinear systems subject to external disturbances, control gain uncertainty, and nonlinear uncertainties is investigated in this paper using a nonlinearity estimator-based control approach. Different from the existing…
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Keywords:
based control;
control;
nonlinearity estimator;
class ... See more keywords
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Published in 2021 at "IEEE transactions on cybernetics"
DOI: 10.1109/tcyb.2021.3079437
Abstract: This article is concerned with the intermittent estimator-based mixed passive and H∞ control for the high-speed train (HST) with multiple noises, actuator stochastic fault, and sensor packet loss. First, an intermittent estimator is designed to…
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Keywords:
control;
based mixed;
intermittent estimator;
estimator based ... See more keywords
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Published in 2017 at "IEEE Transactions on Power Electronics"
DOI: 10.1109/tpel.2016.2607228
Abstract: Synchronous-frame proportional-integral (PI) curr-ent control is the most popular solution in industrial permanent-magnet synchronous motor (PMSM) drive systems. However, due to the nonlinearities from large parameter uncertainties and complex operating conditions, it is challenging to…
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Keywords:
uncertainty disturbance;
disturbance;
control;
based current ... See more keywords
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Published in 2020 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"
DOI: 10.1109/tsmc.2018.2818761
Abstract: This paper considers the estimator-based $H_{\infty }$ sampled-data fuzzy control (SDFC) problem of nonlinear parabolic partial differential equation (PDE) systems. First, a Takagi–Sugeno (T–S) fuzzy parabolic PDE model is proposed to represent the nonlinear PDE…
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Keywords:
tex math;
estimator based;
inline formula;
pde ... See more keywords
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Published in 2022 at "PLOS ONE"
DOI: 10.1371/journal.pone.0276540
Abstract: In this article, we proposed an improved finite population variance estimator based on simple random sampling using dual auxiliary information. Mathematical expressions of the proposed and existing estimators are obtained up to the first order…
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Keywords:
random sampling;
estimator based;
variance estimator;
simulation study ... See more keywords