@inproceedings{41c910d38be54933abda66ef27ba5018,
title = "Online Iterative Adaptive Dynamic Programming Approach for Solving the Zero-Sum Game for Nonlinear Continuous-Time Systems with Partially Unknown Dynamics",
abstract = "The current study presents an online iterative adaptive dynamic programming approach to resolve the zero-sum game (ZSG) for nonlinear continuous-time (CT) systems containing a partially unknown dynamic. The Hamilton-Jacobian-Issacs (HJI) equation is solved along the state trajectory according to the value function approximation and the policy improvement online. Relaxed dynamic programming is utilized to ensure the algorithm{\textquoteright}s convergence. Model and costate networks were established to conduct the method. Computational simulations are performed to present the efficiency of the algorithm.",
keywords = "Approximation dynamic programming, Integral reinforcement learning, Online learning, Value iteration, Zero-sum game",
author = "Bin Fu and Bo Sun and Hang Guo and Tao Yang and Wenxing Fu",
note = "Green Open Access added to TU Delft Institutional Repository {\textquoteleft}You share, we take care!{\textquoteright} – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. ; International Conference on Autonomous Unmanned Systems, ICAUS 2022 ; Conference date: 23-09-2022 Through 25-09-2022",
year = "2023",
doi = "10.1007/978-981-99-0479-2_262",
language = "English",
isbn = "9789819904785",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer",
pages = "2833--2842",
editor = "Wenxing Fu and Mancang Gu and Yifeng Niu",
booktitle = "Proceedings of 2022 International Conference on Autonomous Unmanned Systems, ICAUS 2022",
address = "Germany",
}