A multiple model, state feedback strategy for robust control of non-linear processes

In order to achieve global stability using well-established linear control theory and techniques, a multiple model approach has attracted increased attention in recent years. In our previous work, a mini-max optimisation strategy was developed within the framework of a multiple model approach, in which a global controller can be designed without the requirement of membership/validity functions used in conventional methods, and the regime division was realised using a gap metric method. The major limitation of the reported methods is that robustness against process/controller disturbances cannot be addressed if the process switches from stable to unstable in operation. Furthermore, the number of local models is still large for highly non-linear processes even though the gap-metric method is incorporated. In this paper, a significantly modified multiple model approach is developed to achieve robust control with global stability. The main new features of the current approach include: (1)...

• Type: Journal
• Year: 2007
• Where: CCE
• Authors: F. Y. Wang, Parisa A. Bahri, Peter L. Lee, I. T. Cameron
• Keywords: CCE 2007, Conventional Methods, Global Stability, Multiple Model Approach, Software Engineering