Stability analysis for generalized predictive control (GPC) with different classes of uncertain systems

This paper presents stability analysis for the well known generalised predictive control (GPC) when dealing with different classes of uncertain systems namely systems with unmodelled poles, uncertain gains and uncertain poles. The proposed analysis is based on the explicit relation between the syste...

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Main Author: Gomma, Hesham W.
Format: Conference Proceeding
Language:English
Subjects:
Closed loop systems
Control systems
Industrial relations
Polynomials
Predictive control
Stability analysis
State-space methods
Transfer functions
Uncertain systems
Uncertainty
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description This paper presents stability analysis for the well known generalised predictive control (GPC) when dealing with different classes of uncertain systems namely systems with unmodelled poles, uncertain gains and uncertain poles. The proposed analysis is based on the explicit relation between the system transfer function and the step response coefficients. It reveals part of the mystery behind the stability strength of the GPC.
doi_str_mv 10.1109/CACSD-CCA-ISIC.2006.4776778
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ispartof 2006 IEEE Conference on Computer Aided Control System Design, 2006 IEEE International Conference on Control Applications, 2006 IEEE International Symposium on Intelligent Control, 2006, p.984-989
issn 2165-3011
2165-302X
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source IEEE Xplore All Conference Series
subjects Closed loop systems
Control systems
Industrial relations
Polynomials
Predictive control
Stability analysis
State-space methods
Transfer functions
Uncertain systems
Uncertainty
title Stability analysis for generalized predictive control (GPC) with different classes of uncertain systems
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