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Stabilization of uncertain T-S fuzzy systems using statederivative feedback

机译:基于陈述反馈的不确定T-S模糊系统的镇定

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In some practical problems, for instance, in the suppression of vibration in mechanical systems, the state-derivative signals are easier to obtain than the state signals. Thus, a method for state-derivative feedback design applied to uncertain nonlinear systems is proposed in this work. The nonlinear systems are represented by Takagi-Sugeno fuzzy models during the modeling of the problem, allowing to use Linear Matrix Inequalities (LMIs) in the controller design. This type of modeling ease the control design, because, LMIs are easily solved using convex programming technicals. The control design aimed at system stabilisation, with or without bounds on decay rate. The efficiency of design procedure is illustrated through a numerical example.
机译:在一些实际问题中,例如,在抑制机械系统中的振动时,状态导数信号比状态信号更容易获得。因此,本文提出了一种用于不确定非线性系统的状态导数反馈设计方法。在问题建模期间,非线性系统由Takagi-Sugeno模糊模型表示,从而允许在控制器设计中使用线性矩阵不等式(LMI)。这种类型的建模简化了控制设计,因为使用凸编程技术可以轻松解决LMI。该控制设计旨在使系统稳定,衰减速率有无边界。通过数值例子说明了设计过程的效率。

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