Necessary conditions for optimal impulsive control problems
Contribuinte(s) |
Universidade Estadual Paulista (UNESP) |
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Data(s) |
27/05/2014
27/05/2014
01/12/1997
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Resumo |
A Maximum Principle is derived for a class of optimal control problems arising in midcourse guidance, in which certain controls are represented by measures and, the state trajectories are functions of bounded variation. The optimality conditions improves on previous optimality conditions by allowing nonsmooth data, measurable time dependence, and a possibly time varying constraint set for the conventional controls. |
Formato |
2085-2090 |
Identificador |
http://dx.doi.org/10.1109/CDC.1997.657074 Proceedings of the IEEE Conference on Decision and Control, v. 3, p. 2085-2090, 1997. 0191-2216 http://hdl.handle.net/11449/65274 10.1109/CDC.1997.657074 WOS:000072164400415 2-s2.0-0031376088 |
Idioma(s) |
eng |
Relação |
Proceedings of the IEEE Conference on Decision and Control |
Direitos |
closedAccess |
Palavras-Chave | #Boundary conditions #Constraint theory #Functions #Maximum principle #Time varying control systems #Optimal impulsive control problem #Optimal control systems |
Tipo |
info:eu-repo/semantics/conferencePaper |