An output feedback robust model predictive controller design based on quasi-min max algorithm

Authors:
M. H. Zibaeenejad;V. J. Majd
Affiliations:
Electrical and Computer Engineering Department and University of Waterloo, Waterloo, Canada;Electrical Engineering Department and Tarbiat Modares University, Tehran, Iran
Venue:
ACC'09 Proceedings of the 2009 conference on American Control Conference
Year:
2009

Citing 8
Cited 0

Robust constrained model predictive control using linear matrix inequalities

Automatica (Journal of IFAC)
Technical communique: Improving off-line approach to robust MPC based-on nominal performance cost

Automatica (Journal of IFAC)
New formulation of robust MPC by incorporating off-line approach with on-line optimization

International Journal of Systems Science
Quasi-Min-Max MPC algorithms for LPV systems

Automatica (Journal of IFAC)
Brief An improved approach for constrained robust model predictive control

Automatica (Journal of IFAC)
Robust output feedback model predictive control of constrained linear systems

Automatica (Journal of IFAC)
Brief An efficient off-line formulation of robust model predictive control using linear matrix inequalities

Automatica (Journal of IFAC)
Correspondence: Robust stabilization of uncertain time-varying discrete systems and comments on "an improved approach for constrained robust model predictive control"

Automatica (Journal of IFAC)

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, a new output feedback robust model predictive controller (RMPC) for polytopic uncertain systems is developed using quasi min-max algorithm. The new formulation involves using an augmented system description based on state estimates and uncertain estimation errors. The design method yields new linear matrix inequality conditions for the augmented system, which guarantee the robust stability of closed-loop system with control input constraint in strict mathematical manner. The proposed algorithm does not need any offline calculations. The effectiveness of the algorithm is illustrated in an example.