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Automatic Design of a Maglev Controller in State Space

dc.date.accessioned2004-10-08T20:28:46Z
dc.date.accessioned2018-11-24T10:15:11Z
dc.date.available2004-10-08T20:28:46Z
dc.date.available2018-11-24T10:15:11Z
dc.date.issued1991-12-01en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/6572
dc.identifier.urihttp://repository.aust.edu.ng/xmlui/handle/1721.1/6572
dc.description.abstractWe 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.en_US
dc.format.extent1926406 bytes
dc.format.extent763975 bytes
dc.language.isoen_US
dc.titleAutomatic Design of a Maglev Controller in State Spaceen_US


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