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- W2912498790 abstract "This paper presents a data-driven method to obtain an approximate solution of the finite-horizon optimal control problem for linear time-varying discrete-time systems. Firstly, a finite-horizon Policy Iteration method for linear time-varying discrete-time systems is proposed. Then, a data-driven off-policy Policy Iteration algorithm is derived to find approximate optimal controllers when the system dynamics is unknown. Under mild conditions, the proposed data-driven off-policy algorithm converges to the optimal solution. Finally, the effectiveness of the derived method is validated by a numerical example." @default.
- W2912498790 created "2019-02-21" @default.
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- W2912498790 date "2018-12-01" @default.
- W2912498790 modified "2023-10-10" @default.
- W2912498790 title "Data-driven Finite-horizon Optimal Control for Linear Time-varying Discrete-time Systems" @default.
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- W2912498790 doi "https://doi.org/10.1109/cdc.2018.8619347" @default.
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