Observer-Based Adaptive Finite-Time Quantized Tracking Control of Nonstrict-Feedback Nonlinear Systems With Asymmetric Actuator Saturation

This paper investigates the output feedback adaptive finite-time quantized tracking problem for a class of uncertain nonstrict-feedback nonlinear systems with asymmetric actuator saturation, where signals including the measurable output and the control input are quantized by the sector-bounded quantizers. In order to overcome the technical difficulties arising from asymmetric actuator saturation and sector-bounded quantization errors, the combination of some novel techniques, the Gaussian error function-based smooth model, and fuzzy logic system approximation-based method are utilized. Moreover, an observer involving the quantized output signal and the saturated input signal is designed to reconstruct the unknown states. Then an adaptive output feedback tracking control strategy is developed for this class of systems, so that the system output follows satisfactorily a desired reference signal in finite time while all signals in the closed-loop systems are semi-global practical finite-time stable. Finally, two illustrative simulation examples are provided to validate the effectiveness and applicability of the proposed design.