Model-free finite-horizon optimal control of discrete-time two-player zero-sum games
Wei Wang,
Xin Chen and
Jianhua Du
International Journal of Systems Science, 2023, vol. 54, issue 1, 167-179
Abstract:
Conventionally, as the system dynamics is known, the finite-horizon optimal control of zero-sum games relies on solving the time-varying Riccati equations. In this paper, with unknown system dynamics being considered, a Q-function-based finite-horizon control method is introduced to approximate the solutions of the time-varying Riccati equations. First, a time-varying Q-function explicitly dependent on the time-varying control and disturbance is defined. Then the defined time-varying Q-function is utilised to represent the time-varying control and disturbance which are equivalent to the solutions of the time-varying Riccati equations by relaxing the system dynamics. Finally, a model-free method is introduced to approximate the defined time-varying Q-function. Simulation studies are conducted to demonstrate the validity of the developed method.
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:taf:tsysxx:v:54:y:2023:i:1:p:167-179
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DOI: 10.1080/00207721.2022.2111236
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