Dynamic Tuning of Scaling Factors of Fuzzy Knowledge Base Controller for Non-Linear Complex Systems
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| Title | Dynamic Tuning of Scaling Factors of Fuzzy Knowledge Base Controller for Non-Linear Complex Systems |
| Authors | |
| Abstract | There are wide ranges of combination for tuning and learning algorithm operators exist in the literature. Most of them have been applied on different type of tuning application for Fuzzy Knowledge Base Controller (FKBC). In this paper authors proposed a modification to the Sung’s [18] Genetic algorithm. The proposed algorithm utilizes the weighted crossover operator. A fitness function, which guides the learning process, is defined as inverse of Integral Absolute Time Error (IATE). The proposed method is applied, for the tuning of input and output scaling factors of FKBC, for two complex non-linear systems. The simulation results are encouraging. |
| Publisher | World Science Publisher |
| Date | 2012-02-26 |
| Source | 2167-633X |
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