Articles with "approximate optimal" as a keyword



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Data-based approximate optimal control for nonzero-sum games of multi-player systems using adaptive dynamic programming

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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… read more here.

Keywords: multi player; adaptive dynamic; data based; approximate optimal ... See more keywords
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Asymptotically stable critic designs for approximate optimal stabilization of nonlinear systems subject to mismatched external disturbances

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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… read more here.

Keywords: optimal stabilization; approximate optimal; asymptotically stable; mismatched external ... See more keywords
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Approximate Optimal Trajectory Tracking With Sparse Bellman Error Extrapolation

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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… read more here.

Keywords: error extrapolation; state space; bellman error; extrapolation ... See more keywords
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Learning-PDE-Based Approximate Optimal Control for an MHD System With Uncertainty Quantification

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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… read more here.

Keywords: uncertainty; approximate optimal; control; mhd system ... See more keywords
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Decentralized position–force zero-sum approximate optimal control for reconfigurable robots with unmodeled dynamic

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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… read more here.

Keywords: position force; reconfigurable robots; control; approximate optimal ... See more keywords
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Discrete approximate optimal vibration control for nonlinear vehicle active suspension

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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… read more here.

Keywords: control; vehicle; suspension; approximate optimal ... See more keywords
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Approximate Optimal Control for a Parabolic System with Perturbations in the Coefficients on the Half-Axis

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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. read more here.

Keywords: control parabolic; optimal control; approximate optimal; parabolic system ... See more keywords
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Multiplication Algorithms for Approximate Optimal Distributions with Cost Constraints

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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… read more here.

Keywords: optimal optimal; cost; cost constraints; algorithms approximate ... See more keywords
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Approximate Optimal Tracking Control for Partially Unknown Nonlinear Systems via an Adaptive Fixed-Time Observer

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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… read more here.

Keywords: time; optimal tracking; control; fixed time ... See more keywords