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Observer-based finite-time fuzzy adaptive control for MIMO non-strict feedback nonlinear systems with errors constraint

机译:误差约束的MIMO非严格反馈非线性系统的观察者有限时间模糊自适应控制

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This paper studies the problem of fuzzy adaptive finite-time output feedback control for a class of multi-input and multi-output (MIMO) nonlinear systems with errors constraint and unknown dead zone. In control design, the fuzzy logic systems (FLSs) are adopted to approximate the unknown nonlinear functions and a state observer is constructed to estimate the unmeasurable states. The simplified barrier Lyapunov function (SELF) and performance function are considered to solve the problem of errors-constraint. Combining backstepping design with prescribed performance technique, an observer-based finite-time adaptive fuzzy control scheme is presented. The presented control scheme not only guarantees that all signals of the closed-loop system are bounded, but also ensures that tracking errors converge to a small neighborhood of the zero within the prescribed performance bounded. Finally, a numerical example is provided to elaborate the effectiveness of the presented control scheme. (C) 2019 Elsevier B.V. All rights reserved.
机译:本文研究了一类多输入和多输出(MIMO)非线性系统的模糊自适应有限时间输出反馈控制问题,其中具有错误约束和未知死区。在控制设计中,采用模糊逻辑系统(FLSS)来近似未知的非线性函数,并且构建状态观察者以估计未估量的状态。简化的屏障Lyapunov函数(自我)和性能函数被认为是解决错误约束的问题。用规定的性能技术相结合,提出了一种基于观察者的有限时间自适应模糊控制方案。所提出的控制方案不仅保证闭环系统的所有信号被界限,而且确保跟踪误差会聚到规定的性能界限内的零的小邻域。最后,提供了一种数值例子以详细说明所提出的控制方案的有效性。 (c)2019 Elsevier B.v.保留所有权利。

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