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Published in 2018 at "Neurocomputing"
DOI: 10.1016/j.neucom.2017.05.086
Abstract: This paper investigates the non-zerosum game issue for unknown nonlinear systems with multi-player by using data-based adaptive dynamic programming (ADP) methods. It is known that the traditional ADP approaches require accurate system models to compute…
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Keywords:
multi player;
adaptive dynamic;
data based;
approximate optimal ... See more keywords
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Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.08.092
Abstract: Abstract This paper addresses approximate optimal stabilization problems for nonlinear systems in the presence of mismatched external disturbances via asymptotically stable critic designs. By establishing the nonlinear disturbance observer, the corresponding information is utilized to…
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Keywords:
optimal stabilization;
approximate optimal;
asymptotically stable;
mismatched external ... See more keywords
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Published in 2023 at "IEEE Transactions on Automatic Control"
DOI: 10.1109/tac.2022.3194040
Abstract: This article provides an approximate online adaptive solution to the infinite-horizon optimal tracking problem for control-affine continuous-time nonlinear systems with uncertain drift dynamics. A model-based approximate dynamic programming (ADP) approach, which is facilitated using a…
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Keywords:
error extrapolation;
state space;
bellman error;
extrapolation ... See more keywords
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Published in 2022 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"
DOI: 10.1109/tsmc.2022.3152505
Abstract: Handling uncertainty is one of the most important challenges in real physical systems. In this article, we study an approximate optimal magnetic control strategy for a one-dimensional (1-D) magnetohydrodynamic (MHD) system with uncertainty quantification within…
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Keywords:
uncertainty;
approximate optimal;
control;
mhd system ... See more keywords
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Published in 2022 at "Transactions of the Institute of Measurement and Control"
DOI: 10.1177/01423312221109726
Abstract: In this paper, the position–force–based approximate optimal control method is developed for reconfigurable robots using zero-sum game strategy. By utilizing the Newton–Euler iteration technique, the robotic system’s dynamic model is formulated and the state space…
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Keywords:
position force;
reconfigurable robots;
control;
approximate optimal ... See more keywords
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Published in 2017 at "Journal of Vibroengineering"
DOI: 10.21595/jve.2016.17550
Abstract: This paper presents the approximate optimal vibration control methodology for discrete nonlinear vehicle active suspension subject to persistent road disturbances. Based on a dynamic model of nonlinear vehicle active suspension and a linear exogenous system…
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Keywords:
control;
vehicle;
suspension;
approximate optimal ... See more keywords
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Published in 2022 at "Axioms"
DOI: 10.3390/axioms11040175
Abstract: In this paper, we use the averaging method to find an approximate solution in the optimal control problem of a parabolic system with non-linearity of the form f(t/ε,y) on an infinite time interval.
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Keywords:
control parabolic;
optimal control;
approximate optimal;
parabolic system ... See more keywords
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Published in 2023 at "Mathematics"
DOI: 10.3390/math11081963
Abstract: In this paper, we study the D- and A-optimal assignment problems for regression models with experimental cost constraints. To solve these two problems, we propose two multiplicative algorithms for obtaining optimal designs and establishing extended…
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Keywords:
optimal optimal;
cost;
cost constraints;
algorithms approximate ... See more keywords
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Published in 2023 at "Symmetry"
DOI: 10.3390/sym15061136
Abstract: This paper investigates a novel adaptive fixed-time disturbance observer (AFXDO)-based approximate optimal tracking control architecture for nonlinear systems with partially unknown dynamic drift and perturbation under an adaptive dynamic programming (ADP) scheme. To attenuate the…
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Keywords:
time;
optimal tracking;
control;
fixed time ... See more keywords