Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
407682 | Neurocomputing | 2015 | 11 Pages |
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
Authors
Ali Heydari, S.N. Balakrishnan,