Observer-based robust constrained model predictive control

Authors:
Xiao-Heng Chang;Li Jin
Affiliations:
School of Information Science and Engineering, Bohai University, Liaoning, Jinzhou, China;Zhejiang Wanxiang System Co., LTD, Hangzhou, Zhejiang, China
Venue:
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
Year:
2009

Citing 8
Cited 0

Model predictive control: theory and practice—a survey

Automatica (Journal of IFAC)
Robust constrained model predictive control using linear matrix inequalities

Automatica (Journal of IFAC)
Technical communique: A synthesis approach for output feedback robust constrained model predictive control

Automatica (Journal of IFAC)
Observer-based robust H∞ control for fuzzy systems using two-step procedure

IEEE Transactions on Fuzzy Systems
A Quasi-Infinite Horizon Nonlinear Model Predictive Control Scheme with Guaranteed Stability

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

Automatica (Journal of IFAC)
Brief Optimizing the end-point state-weighting matrix in model-based predictive control

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

Automatica (Journal of IFAC)

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper addresses the problem of observer-based robust constrained model predictive control with polytopic uncertain systems and norm-bound uncertain systems. It constructs the cost function directly by using the augmented system composed by states and estimation errors, and the observer gain need not be given in advance. In addition, this paper considers the constraints of system states and input in the designing of controller and observer, which relaxes the existing results to a certain extent. The performance of the proposed design method is demonstrated by an example.