A comparison of nonstationary fuzzy logic for cyber-physical systems

Abstract

The popularity of cyber-physical systems, which has a wide application area from military to medicine, is increasing day by day. It is practice and common to implement control algorithms such as fuzzy logic in the cyber layer in these systems where the cyber and physical layers are separate. Reliability and consistency are very important for cyberphysical systems, which is often used in large and critical jobs. Uncertainties, which is hard to be modelled, are the greatest threat to the consistency of a system. Type 2 fuzzy logic is a method developed to deal with uncertainties in fuzzy systems. However, computational complexity has prevented the widespread use of this method and has led to the emergence of non-stationary fuzzy logic. In this study, in order to see the appropriateness of using non-stationary fuzzy logic in cyber physical systems, where consistency and reliability are important, various effects on the system have been investigated.Different membership functions are represented by non-stationary fuzzy logic and comparative results are given.