Dynamic Output Feedback-Predictive Control of a Takagi–Sugeno Model With Bounded Disturbance

2017 ◽  
Vol 25 (3) ◽  
pp. 653-667 ◽  
Author(s):  
Baocang Ding ◽  
Hongguang Pan
Keyword(s):  
Predictive Control ◽  
Output Feedback ◽  
Dynamic Output Feedback ◽  
Dynamic Output ◽  
Sugeno Model ◽  
Takagi Sugeno ◽  
Bounded Disturbance

scholarly journals A Summary of Dynamic Output Feedback Robust MPC for Linear Polytopic Uncertainty Model with Bounded Disturbance

2020 ◽  
Vol 2020 ◽  
pp. 1-19 ◽  
Author(s):  
Baocang Ding ◽  
Xiaoming Tang ◽  
Jianchen Hu
Keyword(s):  
Predictive Control ◽  
Output Feedback ◽  
Dynamic Output Feedback ◽  
Unified Framework ◽  
Linear Parameter Varying ◽  
Robust Model Predictive Control ◽  
Dynamic Output ◽  
Robust Model ◽  
Uncertainty Model ◽  
Bounded Disturbance

This paper is the summary and enhancement of the previous studies on dynamic output feedback robust model predictive control (MPC) for the linear parameter varying model (described in a polytope) with additive bounded disturbance. When the state is measurable and there is no bounded disturbance, the robust MPC has been developed with several paradigms and seems becoming mature. For the output feedback case for the LPV model with bounded disturbance, we have published a series of works. Anyway, it lacks a unification of these publications. This paper summarizes the existing results and exposes the ideas in a unified framework. Indeed there is a long way to go for the output feedback case for the LPV model with bounded disturbance. This paper can pave the way for further research on output feedback MPC.

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