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This paper investigates the problem of adaptive fuzzy control for a class of uncertain nonlinear strict-feedback discrete-time systems with unknown system functions and control gain functions. Following the idea of single neural network (SNN) approximation, single fuzzy logic system(SFLS) approximation is first proposed and synthesized with “minimal learning parameter (MLP)” technique into a novel...
This paper investigates the problem of adaptive neural networks output feedback control for a class of stochastic nonlinear system with unmodeled dynamics and unmeasured states. To avoid the problem of ‘explosion of complexity’ inherent in the conventional backstepping design procedure, the dynamic surface control (DSC) technique is applied to the control design of the investigated systems with unmodeled...
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