Automatic Design of a Maglev Controller in State Space

Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/6572

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DC Field	Value	Language
dc.creator	Zhao, Feng	-
dc.creator	Thorton, Richard	-
dc.date	2004-10-08T20:28:46Z	-
dc.date	2004-10-08T20:28:46Z	-
dc.date	1991-12-01	-
dc.date.accessioned	2013-10-09T02:46:05Z	-
dc.date.available	2013-10-09T02:46:05Z	-
dc.date.issued	2013-10-09	-
dc.identifier	AIM-1303	-
dc.identifier	http://hdl.handle.net/1721.1/6572	-
dc.identifier.uri	http://koha.mediu.edu.my:8181/xmlui/handle/1721	-
dc.description	We describe the automatic synthesis of a global nonlinear controller for stabilizing a magnetic levitation system. The synthesized control system can stabilize the maglev vehicle with large initial displacements from an equilibrium, and possesses a much larger operating region than the classical linear feedback design for the same system. The controller is automatically synthesized by a suite of computational tools. This work demonstrates that the difficult control synthesis task can be automated, using programs that actively exploit knowledge of nonlinear dynamics and state space and combine powerful numerical and symbolic computations with spatial-reasoning techniques.	-
dc.format	1926406 bytes	-
dc.format	763975 bytes	-
dc.format	application/postscript	-
dc.format	application/pdf	-
dc.language	en_US	-
dc.relation	AIM-1303	-
dc.title	Automatic Design of a Maglev Controller in State Space	-
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