Security Control for LPV System with Deception Attacks via Model Predictive Control: A Dynamic Output Feedback Approach

Author(s):  
Jun Wang ◽  
Baocang Ding ◽  
Jianchen Hu
2015 ◽  
Vol 2015 ◽  
pp. 1-12 ◽  
Author(s):  
Xubin Ping ◽  
Ning Sun

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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