Data-Driven Robust Tracking Control for Multi-Player Nonzero-Sum Games With Constrained Inputs

Data-Driven Robust Tracking Control for Multi-Player Nonzero-Sum Games With Constrained Inputs

In this paper, the robust tracking control for unknown multi-player nonlinear systems with constrained inputs and uncertainties is studied by data-driven reinforcement learning scheme. In this study, the dependence on system dynamics is relaxed through the use of system input and state data. First o...

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Bibliographic Details
Main Authors: Jingang Zhao, Jun Zhao, Yehan Chang, Guosheng Xu
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Data-driven reinforcement learning
robust tracking control
multi-player systems
neural networks (NNs)
Online Access:https://ieeexplore.ieee.org/document/11077137/
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https://ieeexplore.ieee.org/document/11077137/

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