Suboptimal Scheduling in Switched Systems With Continuous-Time Dynamics: A Least Squares Approach
Two approximate solutions for optimal control of switched systems with autonomous subsystems and continuous-time dynamics are presented. The first solution formulates a policy iteration (PI) algorithm for the switched systems with recursive least squares. To reduce the computational burden imposed b...
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Veröffentlicht in: | IEEE transaction on neural networks and learning systems 2018-06, Vol.29 (6), p.2167-2178 |
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Hauptverfasser: | , |
Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | Two approximate solutions for optimal control of switched systems with autonomous subsystems and continuous-time dynamics are presented. The first solution formulates a policy iteration (PI) algorithm for the switched systems with recursive least squares. To reduce the computational burden imposed by the PI algorithm, a second solution, called single loop PI, is presented. Online and concurrent training algorithms are discussed for implementing each solution. At last, effectiveness of the presented algorithms is evaluated through numerical simulations. |
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ISSN: | 2162-237X 2162-2388 |
DOI: | 10.1109/TNNLS.2017.2758374 |