Article ID Journal Published Year Pages File Type
407682 Neurocomputing 2015 11 Pages PDF
Abstract

The problem of optimal switching and control of nonlinear switching systems with controlled subsystems is investigated in this study where the mode sequence and the switching times between the modes are unspecified. An approximate dynamic programming based method is developed which provides a feedback solution for unspecified initial conditions and different final times. The convergence of the proposed algorithm is proved. Versatility of the method and its performance are illustrated through different numerical examples.

Related Topics
Physical Sciences and Engineering Computer Science Artificial Intelligence
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