Fuzzy system parameter estimation based on Kalman filtering
Qiuhua Wang · Journal of Tsinghua University(Science and Technology) · 2000
Fuzzy systems play an important role in modern industry. This paper analyzed applications of complex fuzzy systems for parameter estimation and propose a new method for estimating fuzzy system parameters utilizing Kalman filtering. The method was applied to computer simulated channel equalization with linguistic fuzzy IF THEN rules used to further improve the algorithm's performance. The method converges faster than RLS method with a lower bit error ratio (BER).