scholarly journals A nonlinear tracking model predictive control scheme for dynamic target signals

Automatica ◽  
2020 ◽  
Vol 118 ◽  
pp. 109030 ◽  
Author(s):  
Johannes Köhler ◽  
Matthias A. Müller ◽  
Frank Allgöwer
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Control Scheme ◽  
Nonlinear Tracking ◽  
Tracking Model ◽  
Dynamic Target

Feasible-Cooperation Distributed Model Predictive Control Scheme Based on Game Theory*

2011 ◽  
Vol 44 (1) ◽  
pp. 386-391 ◽  
Author(s):  
Felipe Valencia ◽  
Jairo J. Espinosa ◽  
Bart De Schutter ◽  
Kateřina Staňková
Keyword(s):  
Game Theory ◽  
Model Predictive Control ◽  
Predictive Control ◽  
Distributed Model ◽  
Distributed Model Predictive Control ◽  
Control Scheme

scholarly journals A Simplified Model Predictive Control for T-Type Inverter with Output LC Filter

Energies ◽  
2018 ◽  
Vol 12 (1) ◽  
pp. 31 ◽  
Author(s):  
Van-Quang-Binh Ngo ◽  
Minh-Khai Nguyen ◽  
Tan-Tai Tran ◽  
Young-Cheol Lim ◽  
Joon-Ho Choi
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Performance Simulation ◽  
Control Scheme ◽  
Finite Control ◽  
Lc Filter ◽  
The Cost ◽  
And Control ◽  
Measurement And Control ◽  
Selection Of

In this paper, a model predictive control scheme for the T-type inverter with an output LC filter is presented. A simplified dynamics model is proposed to reduce the number of the measurement and control variables, resulting in a decrease in the cost and complexity of the system. Furthermore, the main contribution of the paper is the approach to evaluate the cost function. By employing the selection of sector information distribution in the reference inverter voltage and capacitor voltage balancing, the execution time of the proposed algorithm is significantly reduced by 36% compared with conventional model predictive control without too much impact on control performance. Simulation and experimental results are studied and compared with conventional finite control set model predictive control to validate the effectiveness of the proposed method.

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