Title :
A framework for robustness analysis of constrained finite receding horizon control
Author :
J.A. Primbs;V. Nevistic
Author_Institution :
California Inst. of Technol., Pasadena, CA, USA
Abstract :
A framework for robustness analysis of constrained finite receding horizon control is presented. We derive sufficient conditions for robust stability of the standard discrete-time linear-quadratic receding horizon control formulation with arbitrary terminal weights. The key is to view stability as an implication between quadratic forms, allowing an application of the S-procedure. Robustness with respect to plant/model mismatch as well as state measurement error is reduced to the feasibility of linear matrix inequalities. Examples demonstrate this approach.
Keywords :
"Robustness","Open loop systems","Robust stability","Robust control","Measurement errors","Design optimization","Automatic control","Sufficient conditions","Linear matrix inequalities","State feedback"
Conference_Titel :
American Control Conference, 1998. Proceedings of the 1998
Print_ISBN :
0-7803-4530-4
DOI :
10.1109/ACC.1998.688344
