Abstract
In this paper, the problem about optimal iterative learning control of general nonlinear discrete-time systems has been studied. Based on the sufficient conditions of the existence of optimal iterative learning control in general nonlinear discrete-time systems, in view of the practical application, propose an approximate iterative algorithm, and prove the approximate iterative control restraining to the optimum control.
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© 2012 Springer-Verlag GmbH Berlin Heidelberg
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Xu, Hw. (2012). Optimal Iterative Learning Control for Nonlinear Discrete-Time Systems. In: Wu, Y. (eds) Software Engineering and Knowledge Engineering: Theory and Practice. Advances in Intelligent and Soft Computing, vol 115. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25349-2_10
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DOI: https://doi.org/10.1007/978-3-642-25349-2_10
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Online ISBN: 978-3-642-25349-2
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