Many control problems involve the search for the global extremum in the space of states or the parameters of the system under study, which leads to the necessity of using effective methods of global finite-dimensional optimization. For this purpose use can be made of the geometric algorithms of Lipschitz global optimization, which are developed by the authors. A brief review of these algorithms is presented and they are compared with some algorithms of global search that are often used in technical practice. Numerical experiments are performed on a few known examples of applied multiextremal problems.
Lipschitz global optimization methods in control problems / Kvasov, Dmitry; Sergeev, Yaroslav. - In: AUTOMATION AND REMOTE CONTROL. - ISSN 0005-1179. - 74:9(2013), pp. 1435-1448.
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Titolo: | Lipschitz global optimization methods in control problems |
Autori: | |
Data di pubblicazione: | 2013 |
Rivista: | |
Citazione: | Lipschitz global optimization methods in control problems / Kvasov, Dmitry; Sergeev, Yaroslav. - In: AUTOMATION AND REMOTE CONTROL. - ISSN 0005-1179. - 74:9(2013), pp. 1435-1448. |
Handle: | http://hdl.handle.net/20.500.11770/134657 |
Appare nelle tipologie: | 1.1 Articolo in rivista |