Combination of adaptive-network-based fuzzy inference system and incremental best estimate directed search
Feijun Song, Samuel M. Smith · 2002
Fast incremental best estimate directed Search (fast IBEDS) is a fast and effective search method for Takagi-Sugeno (TS) type fuzzy logic controller (FLC) optimization. Fast IBEDS only optimizes an FLC's parameters in the rule output functions. The rule antecedents remain fixed during optimization. The paper proposes to combine the adaptive-network-based fuzzy inference system (ANFIS) and fast IBEDS to gain full range optimization of an FLC. The role of ANFIS is to optimize the rule antecedents so that an FLC can be optimized even further. Simulation results on a 4D inverted pendulum show that by combining ANFIS and fast IBEDS together, an FLC can be further optimized to have better global performance.