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.

本文解决了不确定非线性量化系统的自适应固定时间控制问题。与关于不确定非线性系统的固定时间控制的传统研究不同，本文考虑的是定量控制问题，非线性项可能是未知的。通过模糊逻辑系统提出了一种解决未知时间非线性的固定时间跟踪控制新的自适应控制策略，克服了系统稳定时间的上限依赖于初始条件的局限性。在固定时间内保证闭环系统的稳定性。最后，通过数值仿真证明了该策略的有效性。