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Online elicitation of mamdani-type fuzzy rules via TSK-based generalized predictive control
2003
IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)
Many synergisms have been described in the past between soft computing techniques such as Neural Networks (NN), Fuzzy Logic (FL) and Genetic Algorithms (GA) which have not only shown that such hybrid structures can work well but also add more robustness to the control system under consideration. In this paper, a new control architecture is proposed whereby the 2 on-line generated fuzzy rules relating to the Self-Organising Fuzzy Logic Controller (SOFLC) are obtained via integration with the
doi:10.1109/tsmcb.2003.810901
pmid:18238192
fatcat:ssacp5ecana2jkuk6ron25n7au