Articles with "approximate optimal" as a keyword



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

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

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

Distributed Approximate Optimal Attitude Control of Combined Spacecraft With Parameters Identification

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Published in 2024 at "IEEE Transactions on Aerospace and Electronic Systems"

DOI: 10.1109/taes.2023.3341058

Abstract: The distributed attitude takeover control problem of a target spacecraft with unknown inertia matrix by using multiple service satellites is investigated in this article. Based on the time-interval integration model of the attitude dynamics, an… read more here.

Keywords: attitude control; control; inertia matrix; approximate optimal ... See more keywords

Collision-Free Approximate Optimal Control of Spacecraft Formation With Predefined Performance

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Published in 2025 at "IEEE Transactions on Aerospace and Electronic Systems"

DOI: 10.1109/taes.2024.3501235

Abstract: This article aims to design an approximate optimal control algorithm for spacecraft formations with predefined performance while ensuring collision avoidance. Achieving these control objectives simultaneously is challenging, especially when there is a conflict between predefined… read more here.

Keywords: predefined performance; spacecraft; control; collision ... See more keywords

Self-Triggered Approximate Optimal Neuro-Control for Nonlinear Systems Through Adaptive Dynamic Programming

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Published in 2025 at "IEEE Transactions on Neural Networks and Learning Systems"

DOI: 10.1109/tnnls.2024.3362800

Abstract: In this article, a novel self-triggered approximate optimal neuro-control scheme is presented for nonlinear systems by utilizing adaptive dynamic programming (ADP). According to the Bellman principle of optimality, the cost function of the general nonlinear… read more here.

Keywords: optimal neuro; self triggered; approximate optimal; neuro control ... See more keywords

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

Approximate Optimal Robust Tracking Control Based on State Error and Derivative Without Initial Admissible Input

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Published in 2024 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"

DOI: 10.1109/tsmc.2023.3320653

Abstract: In this article, a robust tracking control (RTC) problem based on adaptive dynamic programming (ADP) is studied. A cost function based on the state error and derivative is used. A policy iteration (PI) algorithm that… read more here.

Keywords: cost function; approximate optimal; error; error derivative ... See more keywords

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

Recursive terminal sliding mode approximate optimal control strategy based on reconstructed nonlinear systems

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Published in 2024 at "Transactions of the Institute of Measurement and Control"

DOI: 10.1177/01423312241273847

Abstract: For a class of nonlinear systems with unknown internal states and actuator failures, this paper proposes a recursive terminal sliding-mode fault-tolerant control method based on reconfigurable nonlinear systems and further designs an approximate optimal compensated… read more here.

Keywords: nonlinear systems; control; recursive terminal; terminal sliding ... See more keywords

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