A robust model predictive control algorithm for incrementally conic uncertain/nonlinear systems

This paper presents a robustly stabilizing model predictive control algorithm for systems with incrementally conic uncertain/nonlinear terms and bounded disturbances. The resulting control input consists of feedforward and feedback components. The feedforward control generates a nominal trajectory f...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	International journal of robust and nonlinear control 2011-03, Vol.21 (5), p.563-590
Hauptverfasser:	Açıkmeşe, Behçet, Carson III, John M., Bayard, David S.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Control systems Feedback control incrementally conic uncertainty linear matrix inequalities Lyapunov theory Mathematical models model predictive control nonlinear systems Nonlinearity Policies Predictive control receding horizon control robust control Trajectories uncertain systems
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!