Title :
Getting Robustness Against Unstructured Uncertainty: A Tube-Based MPC Approach
Author :
Falugi, Paola ; Mayne, D.Q.
Author_Institution :
Dept. of Electr. & Electron. Eng., Imperial Coll. London, London, UK
Abstract :
This note extends tube-based model predictive control to the control of nonlinear systems with unmodeled dynamics. The problem of obtaining robustness against unstructured uncertainty is converted into the easier problem of achieving robustness against an additional bounded disturbance while satisfying an additional output constraint. The output constraint depends on the maximum l∞ gain of the unstructured dynamics.
Keywords :
control nonlinearities; nonlinear control systems; predictive control; robust control; bounded disturbance; maximum l∞ gain; nonlinear control systems; output constraint; robustness; tube-based MPC approach; tube-based model predictive control; unmodeled dynamics; unstructured dynamics; unstructured uncertainty; Electron tubes; Predictive control; Predictive models; Robustness; Trajectory; Uncertainty; Model predictive control; nonlinear control systems; robust control;
Journal_Title :
Automatic Control, IEEE Transactions on
DOI :
10.1109/TAC.2013.2287727