Adaptive Fixed-Time Fuzzy Control of Uncertain Nonlinear Quantized Systems

This article settles the issue of adaptive fixed-time control of uncertain nonlinear quantized systems. Different from the traditional study about fixed-time control for uncertain nonlinear systems, quantitative control issue is considered in this paper, and the nonlinear term can be unknown. The new adaptive control tactic of fixed-time tracking control is proposed via fuzzy logic systems approaching unknown nonlinearity, which overcomes the existing limitation of the upper boundary of system settling time relies on the initial condition. The closed-loop system stability is guaranteed in a fixed time. At the end of this paper, the availability of the strategy is proved by a numerical simulation.

Automated summary

This article proposes a new adaptive fixed-time control strategy for uncertain nonlinear quantized systems, using fuzzy logic systems to approximate unknown nonlinearity and ensuring system stability within a fixed time frame. The approach overcomes existing limitations and is validated through numerical simulations.