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Adaptive Fixed-Time Fuzzy Control of Uncertain Nonlinear Quantized Systems

机译:不确定非线性量化系统的自适应定时模糊控制

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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.
机译:本文阐述了不确定非线性量化系统的自适应固定时间控制问题。 不同于传统的关于不确定非线性系统的定时控制的传统研究,本文考虑了定量控制问题,非线性术语可能未知。 通过接近未知非线性的模糊逻辑系统提出了固定时间跟踪控制的新自适应控制策略,这克服了系统稳定时间的上边界的现有限制依赖于初始条件。 在固定时间内保证闭环系统稳定性。 在本文的末尾,通过数值模拟证明了策略的可用性。

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