Efficient modeling of MIMO systems through Timed Automata based Neuro-Fuzzy Inference Engine
We introduce a new neuro-fuzzy inference engine for modeling MIMO systems. The method integrates TSK fuzzy rule-based system, ANFIS and APCA. The performance are better than a conventional application of the ANFIS algorithm.
multi-input multi-output coupling systems neuro-fuzzy systems timed automata based fuzzy systems