Nash-optimization enhanced distributed model predictive control applied to the Shell benchmark problem

作者：Li, SY^*; Zhang, Y; Zhu, QM

来源：Information Sciences, 2005, 170(2-4): 329-349.

DOI：10.1016/j.ins.2004.03.008

• model predictive control (MPC)
• distributed control system
• Nash optimality
• multi-agent
• Shell benchmark control problem

This paper presents an efficient distributed model predictive control scheme based on Nash optimality, in which the on-line optimization of the whole system is decomposed into that of several small co-operative agents in distributed structures, thus it can significantly reduce computational complexity in model predictive control of large-scale systems. The relevant nominal stability and the performance on single-step horizon under the communication failure are investigated. The Shell heavy oil fractionator benchmark control problem is illustrated to verify the effectiveness of the proposed control algorithm.

• 出版日期2005-2-25
• 单位上海交通大学