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In this paper, an adaptive backstepping control problem is proposed for a class of multiple-input-multiple-output nonlinear non-affine uncertain systems. An output recurrent wavelet neural network (ORWNN) is used to approximate the unknown nonlinear functions to develop the proposed adaptive backstepping controller. The proposed ORWNN combines the advantages of wavelet-based neural network, fuzzy...
Based on the concepts of feedback linearization and backstepping approaches, this paper proposes a decoupled adaptive type-2 fuzzy controller (DAT2FC) scheme to treat the stabilization of nonlinear benchmark problem-TORA system. Firstly, partial feedback linearization was employed to simplify the nonlinear system to a simpler form. Therefore, the transformed system can be decoupled into two subsystems...
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