“…The theory and application researches of type-2 fuzzy logic have demonstrated that type-2 fuzzy logic systems can allow us to cope with the different sources of uncertainties, and weaken noisy disturbance, which cannot be appropriately handled by type-1 fuzzy systems [14,18]. Many fuzzy identification and control schemes have been developed for uncertain nonlinear systems, and found extensive applications based on type-2 FLSs, for example, [1,[4][5][6][9][10][11][12][13]16,17,29] and reference therein. The authors in [4] investigated an optimization type-2 fuzzy controller for an autonomous mobile robot and compared with type-1 fuzzy controller.…”