Set membership approximations of Predictive Control laws: The tradeoff between accuracy and complexity

2009 ◽  
Author(s):  
M. Canale ◽  
L. Fagiano ◽  
M. Milanese ◽  
C. Novara
Keyword(s):  
Predictive Control ◽  
Control Laws ◽  
Set Membership

Design of Robust Predictive Control Laws Using Set Membership Identified Models

2012 ◽  
Vol 15 (6) ◽  
pp. 1714-1722 ◽  
Author(s):  
M. Canale ◽  
L. Fagiano ◽  
M.C. Signorile
Keyword(s):  
Predictive Control ◽  
Control Laws ◽  
Set Membership ◽  
Robust Predictive Control

Set membership approximations of predictive control laws: the tradeoff between accuracy and complexity

2010 ◽  
Vol 4 (12) ◽  
pp. 2907-2920 ◽  
Author(s):  
M. Canale ◽  
L. Fagiano ◽  
C. Novara ◽  
M. Milanese
Keyword(s):  
Predictive Control ◽  
Control Laws ◽  
Set Membership

scholarly journals Fast Computation of Stabilizing Predictive Control Laws

1995 ◽  
Vol 28 (5) ◽  
pp. 487-493 ◽  
Author(s):  
L. Chisci ◽  
A. Garulli ◽  
G. Zappa
Keyword(s):  
Predictive Control ◽  
Fast Computation ◽  
Control Laws

scholarly journals A Nonlinear Model Predictive Control with Enlarged Region of Attraction via the Union of Invariant Sets

Mathematics ◽  
2020 ◽  
Vol 8 (11) ◽  
pp. 2087
Author(s):  
Ismi Rosyiana Fitri ◽  
Jung-Su Kim
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Convex Combination ◽  
Invariant Sets ◽  
Region Of Attraction ◽  
Control Laws ◽  
Terminal Set ◽  
The One ◽  
The Given ◽  
Regions Of Attraction

In the dual-mode model predictive control (MPC) framework, the size of the stabilizable set, which is also the region of attraction, depends on the terminal constraint set. This paper aims to formulate a larger terminal set for enlarging the region of attraction in a nonlinear MPC. Given several control laws and their corresponding terminal invariant sets, a convex combination of the given sets is used to construct a time-varying terminal set. The resulting region of attraction is the union of the regions of attraction from each invariant set. Simulation results show that the proposed MPC has a larger stabilizable initial set than the one obtained when a fixed terminal set is used.

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