Abstract:
This paper presents a linear quadratic regulator design based on stochastic collocation for linear parameter varying (LPV) systems. We treat the scheduling parameters as ...Show MoreMetadata
Abstract:
This paper presents a linear quadratic regulator design based on stochastic collocation for linear parameter varying (LPV) systems. We treat the scheduling parameters as random variables and apply polynomial chaos theory to synthesize LPV regulator. The synthesis problem is shown to be convex and is compared with sampling based approach. We show that the stochastic collocation approach is computationally more efficient and generates a better performing controller for an example problem.
Published in: 2017 American Control Conference (ACC)
Date of Conference: 24-26 May 2017
Date Added to IEEE Xplore: 03 July 2017
ISBN Information:
Electronic ISSN: 2378-5861