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In this paper, an indirect adaptive fuzzy control scheme is presented for a class of multiinput andmulti-output (MIMO) nonlinear systemswhose dynamics are poorly understood. Within this scheme, fuzzy systems are employed to approximate the plant’s unknown dynamics. In order to overcome the controller singularity problem, the estimated gain matrix is(More)
In this study, an adaptive fuzzy prescribed performance control approach is developed for a class of uncertain multi-input and multi-output (MIMO) nonlinear systems with unknown control direction and unknown dead-zone inputs. The properties of symmetric matrix are exploited to design adaptive fuzzy prescribed performance controller, and a Nussbaum-type(More)
In this paper, an indirect adaptive fuzzy control scheme is developed for a class of uncertain multi-input multi-output (MIMO) nonlinear systems with nonsymmetric control gain matrix. The nonsymmetric control gain matrix is expressed as the sum of a symmetric matrix and a skew symmetric matrix, and the symmetric matrix as well as the skew symmetric matrix(More)