A Distributed Consensus Algorithm via LMI-Based Model Predictive Control and Primal-Dual Decomposition

2011 ◽  
Vol 4 (3) ◽  
pp. 230-235
Author(s):  
Yuji WAKASA ◽  
Kanya TANAKA ◽  
Yuki NISHIMURA
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Consensus Algorithm ◽  
Dual Decomposition ◽  
Distributed Consensus ◽  
Primal Dual

Nonlinear distributed model predictive control for complex systems: application for hydraulic system

2018 ◽  
Vol 41 (10) ◽  
pp. 2751-2763 ◽  
Author(s):  
Nadia Hajji ◽  
Saber Maraoui ◽  
Larbi Chrifi-Alaoui ◽  
Kais Bouzrara
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Hydraulic System ◽  
Water Levels ◽  
Distributed Model ◽  
Dual Decomposition ◽  
Decomposition Approach ◽  
Distributed Model Predictive Control ◽  
Nonlinear Predictive Control ◽  
Tank System

In this paper, a nonlinear distributed model predictive control based on dual decomposition approach is proposed for complex system. The global system can be decomposed into several subsystems and each one will be managed by its own controller. To design the nonlinear predictive control in a distributed fashion, an analytical solution is proposed. The latter is based on the approximation of the error using its expansion of Taylor series. The proposed approach is implemented on the three tank system to control the water levels. Simulation results demonstrate the effectiveness of the proposed approach.

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