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• W2570727720 abstract "This paper presents a complete answer to the longstanding unanswered question of what value iteration (VI) is for continuous-time, continuous-state-action space nonlinear systems. Based on this proposed VI, we develop a new data-driven adaptive optimal control methodology for unknown nonlinear systems. As compared with the existing literature of adaptive dynamic programming (ADP) for continuous-time systems which often uses policy iteration (PI), an initial admissible control policy is no longer required. By means of the obtained result, a non-model-based adaptive optimal control design is given. The effectiveness of the proposed methodology is also illustrated by an example." @default.
• W2570727720 created "2017-01-13" @default.
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• W2570727720 date "2016-12-01" @default.
• W2570727720 modified "2023-09-23" @default.
• W2570727720 title "Value iteration, adaptive dynamic programming, and optimal control of nonlinear systems" @default.
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• W2570727720 doi "https://doi.org/10.1109/cdc.2016.7798777" @default.
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