arXiv · 1908.09460
A Reference Governor for Nonlinear Systems with Disturbance Inputs Based on Logarithmic Norms and Quadratic Programming
Abstract
This note describes a reference governor design for a continuous-time nonlinear system with an additive disturbance. The design is based on predicting the response of the nonlinear system by the response of a linear model with a set-bounded prediction error, where a state-and-input dependent bound on the prediction error is explicitly characterized using logarithmic norms. The online optimization is reduced to a convex quadratic program with linear inequality constraints. Two numerical examples are reported.
Explore related subjects
Keep this discovery
Explore connections, maps & timelines
Nan Li, Ilya Kolmanovsky, Anouck Girard. 2019-08-26. A Reference Governor for Nonlinear Systems with Disturbance Inputs Based on Logarithmic Norms and Quadratic Programming. https://arxiv.org/abs/1908.09460
Cite the original work for its findings. Save a collection to share your selection of sources.