Observer-Based Adaptive Fuzzy Output Feedback Control of Fractional-Order Chaotic Systems With Input Quantization

This study investigates the adaptive fuzzy output feedback control of strict-feedback fractional-order chaotic systems with unmeasurable states and quantized input. First, functional uncertainties are approximated by logic (FLSs). Second, combining FLS system signal, an observer is constructed to estimate states. A command filter defined cope “explosion complexity” problem resulting from repeated derivatives virtual inputs in each backstepping step. To compensate for quantization errors, a hyperbolic tangent function introduced transform which can not only guarantee that tracking error converges arbitrarily small region near origin but also reduce chattering phenomenon In addition, stability analysis carried out relying on fractional Lyapunov criterion such all signals keep bounded. Finally, numerical simulation example put forward verify effectiveness our method.