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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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2
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 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…
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Keywords:
attitude control;
control;
inertia matrix;
approximate optimal ... See more keywords
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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…
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Keywords:
predefined performance;
spacecraft;
control;
collision ... See more keywords
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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…
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Keywords:
optimal neuro;
self triggered;
approximate optimal;
neuro control ... 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 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…
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Keywords:
cost function;
approximate optimal;
error;
error derivative ... 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 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…
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Keywords:
nonlinear systems;
control;
recursive terminal;
terminal sliding ... 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