Title:A Comparison of RECCO and FCPFC Controller on Nonlinear Chemical ReactorAuthor(s):Goran Andonovski, Edwin Lughofer, Igor SkrjancAbstract:In this paper we present a performance comparison between a new fuzzy (cloud-based) predictive functional control (FCPFC) and the Robust Evolving Cloud-based controller (RECCo). Both methods use the same type of fuzzy cloud-based system (same antecedent part) where the clouds are used for partitioning the data space and dealing with non-linearity of the process. In case of FCPFC the cloud-based fuzzy model is used to identify the process model and control signal is analytically calculated to minimize some criterion. While in case of RECCo algorithm the clouds are used to identify the operating region and the control signal is adapted in online manner. The controllers were tested on a second order nonlinear, locally unstable, chemical reactor CSTR (Continuous Stirred Tank Reactor). The performance and control effort of the methods were compared according to several criteria.Booktitle:Proc. of The 36th IASTED International Conference on Modelling, Identification and ControlPublisher:ACMPage Reference:8 page(s)Publishing:2/2017Series:IASTED Proceedings