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dc.contributor.authorSandou, Guillaumeen_US
dc.date.accessioned2016-09-20T02:19:51Z
dc.date.available2016-09-20T02:19:51Z
dc.date.issued2013en_US
dc.identifier.isbn978-1-84821-590-0en_US
dc.identifier.isbn9781118796481,en_US
dc.identifier.otherHPU2160643en_US
dc.identifier.urihttps://lib.hpu.edu.vn/handle/123456789/23305
dc.description.abstractThe classic approach in Automatic Control relies on the use of simplified models of the systems and reformulations of the specifications. In this framework, the control law can be computed using deterministic algorithms. However, this approach fails when the system is too complex for its model to be sufficiently simplified, when the designer has many constraints to take into account, or when the goal is not only to design a control but also to optimize it. This book presents a new trend in Automatic Control with the use of metaheuristic algorithms.en_US
dc.format.extent140 p.en_US
dc.format.mimetypeapplication/pdf
dc.language.isoenen_US
dc.publisherISTE Ltd/John Wiley and Sons Incen_US
dc.relation.ispartofseriesFocus series in automation and controlen_US
dc.subjectAutomatic controlen_US
dc.subjectMetaheuristic algorithmsen_US
dc.subjectControl lawen_US
dc.titleMetaheuristic optimization for the design of automatic control lawsen_US
dc.typeBooken_US
dc.size2.87 MBen_US
dc.departmentEnglish resourcesen_US


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