Predictive Control for Networked Interval Type-2 T–S Fuzzy System via an Event-Triggered Dynamic Output Feedback Scheme

2019 ◽  
Vol 27 (8) ◽  
pp. 1573-1586 ◽  
Author(s):  
Xiaoming Tang ◽  
Li Deng ◽  
Hongchun Qu
Keyword(s):  
Predictive Control ◽  
Output Feedback ◽  
Fuzzy System ◽  
Dynamic Output Feedback ◽  
Dynamic Output ◽  
Feedback Scheme ◽  
Interval Type ◽  
Event Triggered

scholarly journals Predictive Control for Interval Type-2 Fuzzy System with Event-Triggered Scheme

2019 ◽  
Vol 2019 ◽  
pp. 1-13
Author(s):  
Siyao Wang ◽  
Xiaoming Tang ◽  
Li Deng ◽  
Hongchun Qu ◽  
Linfeng Tian ◽  
...  
Keyword(s):  
Predictive Control ◽  
Fuzzy System ◽  
Infinite Horizon ◽  
Quantization Error ◽  
Data Loss ◽  
Parameter Uncertainties ◽  
Interval Type ◽  
Synthesis Approach ◽  
Event Triggered

In this paper, a synthesis approach of model predictive control (MPC) is proposed for interval type-2 (IT2) Takagi-Sugeno (T-S) fuzzy system with quantization error, bounded disturbance, and data loss. The novelty lies in the following technical improvements. In order to reduce the redundant data transmission, an event-triggered communication scheme is applied to determine whether the control law should be transmitted into the communication network or not. The IT2 T-S fuzzy model is utilized to address the nonlinearity of plant with parameter uncertainties, which can be captured by the lower and upper membership functions. Furthermore, the phenomena of data loss and quantization error between the controller and the actuator are expressed as Markovian chain and sector-bound uncertainties. The synthesis approach of MPC is provided by solving an MPC optimization problem over an infinite horizon objective function which explicitly considers the input constraints. By applying the quadratic boundedness (QB) technique, the recursive feasibility and quadratic stability of closed-loop system can be guaranteed. A numerical simulation and comparison studies are proposed to illustrate the effectiveness of this approach.

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