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• W1965950204 abstract "For the optimal tracking control problem of affine nonlinear systems, a general value iteration algorithm based on adaptive dynamic programming is proposed in this paper. By system transformation, the optimal tracking problem is converted into the optimal regulating problem for the tracking error dynamics. Then, general value iteration algorithm is developed to obtain the optimal control with convergence analysis. Considering the advantages of echo state network, we use three echo state networks with levenberg-Marquardt (LM) adjusting algorithm to approximate the system, the cost function and the control law. A simulation example is given to demonstrate the effectiveness of the presented scheme." @default.
• W1965950204 created "2016-06-24" @default.
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• W1965950204 date "2014-12-01" @default.
• W1965950204 modified "2023-09-26" @default.
• W1965950204 title "Adaptive dynamic programming-based optimal tracking control for nonlinear systems using general value iteration" @default.
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• W1965950204 doi "https://doi.org/10.1109/adprl.2014.7010638" @default.
• W1965950204 hasPublicationYear "2014" @default.
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