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This brief presents a method for an automated generation of improved representations of linear parameter varying (LPV) systems, which is based on principal component analysis applied to typical scheduling trajectories. The procedure can help to reduce the conservatism in controller design by finding tighter regions in the space of scheduling parameters that contain the set of given trajectories. In...
LPV representations of given nonlinear or parameter dependent plants are usually not unique, and different models lead to different achievable performance when LMI techniques are used to design LPV controllers. To facilitate the construction of suitable LPV plant models, a method for automated generation of affine LPV representations has been developed and is presented in this paper. Moreover, a heuristic...
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