Finite horizon optimal control of discrete-time nonlinear systems with unfixed initial state using adaptive dynamic programming |
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Authors: | Qinglai WEI and Derong LIU |
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Affiliation: | Key Laboratory of Complex Systems and Intelligence Science, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China |
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Abstract: | In this paper,we aim to solve the finite horizon optimal control problem for a class of discrete-time nonlinear systems with unfixed initial state using adaptive dynamic programming(ADP) approach.A new-optimal control algorithm based on the iterative ADP approach is proposed which makes the performance index function converge iteratively to the greatest lower bound of all performance indices within an error according to within finite time.The optimal number of control steps can also be obtained by the propo... |
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Keywords: | Adaptive dynamic programming Unfixed initial state Optimal control Finite time Neural networks |
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