Metaheuristic optimization for the design of automatic control laws

Please use this identifier to cite or link to this item: https://lib.hpu.edu.vn/handle/123456789/23305

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DC Field	Value	Language
dc.contributor.author	Sandou, Guillaume	en_US
dc.date.accessioned	2016-09-20T02:19:51Z
dc.date.available	2016-09-20T02:19:51Z
dc.date.issued	2013	en_US
dc.identifier.isbn	978-1-84821-590-0	en_US
dc.identifier.isbn	9781118796481,	en_US
dc.identifier.other	HPU2160643	en_US
dc.identifier.uri	https://lib.hpu.edu.vn/handle/123456789/23305	-
dc.description.abstract	The 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.extent	140 p.	en_US
dc.format.mimetype	application/pdf	-
dc.language.iso	en	en_US
dc.publisher	ISTE Ltd/John Wiley and Sons Inc	en_US
dc.relation.ispartofseries	Focus series in automation and control	en_US
dc.subject	Automatic control	en_US
dc.subject	Metaheuristic algorithms	en_US
dc.subject	Control law	en_US
dc.title	Metaheuristic optimization for the design of automatic control laws	en_US
dc.type	Book	en_US
dc.size	2.87 MB	en_US
dc.department	English resources	en_US
Appears in Collections:	Technology

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