An optimal approach to output-feedback robust model predictive control of LPV systems with disturbances

2016 ◽  
Vol 26 (15) ◽  
pp. 3253-3273 ◽  
Author(s):  
Weilin Yang ◽  
Jianwei Gao ◽  
Gang Feng ◽  
TieJun Zhang
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Output Feedback ◽  
Robust Model Predictive Control ◽  
Lpv Systems ◽  
Robust Model ◽  
Optimal Approach

scholarly journals Dynamic Output Feedback Robust Model Predictive Control via Zonotopic Set-Membership Estimation for Constrained Quasi-LPV Systems

2015 ◽  
Vol 2015 ◽  
pp. 1-12 ◽  
Author(s):  
Xubin Ping ◽  
Ning Sun
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Output Feedback ◽  
Estimation Error ◽  
Sampling Time ◽  
Dynamic Output Feedback ◽  
Robust Model Predictive Control ◽  
Dynamic Output ◽  
Robust Model ◽  
Set Membership

For the quasi-linear parameter varying (quasi-LPV) system with bounded disturbance, a synthesis approach of dynamic output feedback robust model predictive control (OFRMPC) is investigated. The estimation error set is represented by a zonotope and refreshed by the zonotopic set-membership estimation method. By properly refreshing the estimation error set online, the bounds of true state at the next sampling time can be obtained. Furthermore, the feasibility of the main optimization problem at the next sampling time can be determined at the current time. A numerical example is given to illustrate the effectiveness of the approach.

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