Multiple model adaptive mixing control based on switching

作者：Cao, Xu Feng; Wang, Xin; Wang, Zhen Lei^*

来源：Acta Automatica Sinica, 2017, 43(1): 94-100.

DOI：10.16383/j.aas.2017.c150698

• Adaptive
• Mixing control
• Multiple-modeling
• Parameter estimate
• Stability and convergence
• Switching Control
• Transient performance
• Transition process

As the performance of the multiple model adaptive mixing control depends on the error of parameter estimates, a multiple model adaptive mixing control based on switching is proposed in this paper. The system is identified first and parameter estimates are obtained. When the parameter estimates are not in the optimal parameter set, switching control is applied to reset the parameter estimates in the optimal parameter set. As a result, the transient error gets smaller and the transient performance improves. When the parameter estimates are in the optimal parameter set, mixing control is used to smooth the transition process. In addition, the analysis of the stability and convergence is presented. Finally, the feasibility of the method is verified in the simulation.

• 出版日期2017
• 单位上海交通大学; 华东理工大学