TY  - JOUR
T1  - A Computational Time Requirement Comparison Between Two Approaches in MBPC
AU - , Ben Nasr Hichem AU - , Faouzi M. Sahli 
JO  - International Journal of Soft Computing
VL  - 3
IS  - 2
SP  - 147
EP  - 154
PY  - 2008
DA  - 2001/08/19
SN  - 1816-9503
DO  - ijscomp.2008.147.154
UR  - https://makhillpublications.co/view-article.php?doi=ijscomp.2008.147.154
KW  - Nonlinear system
KW  -predictive control
KW  -constraints
KW  -multi-agent controller
AB  - In this study a comparison between two approaches in MBPC is made, the first one based on nonlinear programming NLP and the second based on a novel multi-agent controller for nonlinear models. Although, a nonlinear model predictive approach can achieve good performance and constraints fulfillment, its computational burden does not allow a real-time implementation and restricting the application to slow processes. In order to decrease the complexity of the controller, we propose a novel MPC scheme based on multi-agent controller approach. Simulation results show the effectiveness of the novel MPC scheme in reducing the computational burden, while achieving good results compared to NLMPC controller. Hence, the proposed approach has the potential to be applied to systems with faster time constants.
ER  -