Modified bang‐bang controller for maximal and minimal time optimal control problems
Recently, there have been a series of results regarding two time optimal control problems for a class of linear and nonlinear systems ‐ one is to keep the system states within certain bound for the longest time during feedback disruption and the other is to derive the system states to near the origi...
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Veröffentlicht in: | Asian journal of control 2020-09, Vol.22 (5), p.1827-1839 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | Recently, there have been a series of results regarding two time optimal control problems for a class of linear and nonlinear systems ‐ one is to keep the system states within certain bound for the longest time during feedback disruption and the other is to derive the system states to near the origin as fast as possible after feedback recovery, both under bounded control inputs. These are called maximal and minimal time optimal control problems, respectively. In the existing results, a bang‐bang controller has been commonly suggested as the actual implementation of the optimal controller. In this paper, we suggest a modified version of the bang‐bang controller which can also serve as an approximate optimal controller. Our proposed controller provides the (near) optimal performance with (i) possible reduction of a number of switchings; (ii) possible reduction of control input magnitude. |
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ISSN: | 1561-8625 1934-6093 |
DOI: | 10.1002/asjc.2086 |