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首页> 外文期刊>IEEE Transactions on Systems, Man, and Cybernetics >Nonfragile$mathcal{H}_{infty}$Control for Fuzzy Markovian Jump Systems Under Fast Sampling Singular Perturbation
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Nonfragile$mathcal{H}_{infty}$Control for Fuzzy Markovian Jump Systems Under Fast Sampling Singular Perturbation

机译:模糊Markov跳跃系统的Nonfragile <内联公式> $ mathcal {H} _ { infty} $ 控制快速采样下的奇异摄动

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This paper is concerned with the nonfragileHcontrol problem for discrete-time fast sampling Markovian jump singularly perturbed nonlinear systems described by the Takagi-Sugeno fuzzy model. By utilizing singular perturbation theory, a singular perturbation parameter (SPP) independent, i.e., ε-independent, condition is derived to make sure the underlying closed-loop system's stability and a mixedHand passive performance γ, simultaneously. The ill-conditioned case caused by SPP could be eliminated on the basis of such a condition. With the aid of the stochastic analysis approach, the desired controller gains can be obtained, where the nonfragile property is fully considered to improve the tolerance of controller. Furthermore, a technique is developed to estimate the upper bound of SPP ε in this paper by employing a useful inequality. The availability and practicability of the proposed design method are finally explained via a practical example of a tunnel diode circuit with a modified model and a numerical example.
机译:本文关注的是非脆弱性 n H n 离散时间快速采样的Markovian跳跃奇异摄动非线性系统的控制问题,由Takagi-Sugeno模糊模型描述。通过使用奇异摄动理论,可以得出独立于奇异摄动参数(SPP)(即独立于ε)的条件,以确保底层闭环系统的稳定性和混合的 n H n n和被动性能γ , 同时。在这种情况下,可以消除由SPP引起的疾病。借助随机分析方法,可以获得所需的控制器增益,其中充分考虑了非脆弱性以提高控制器的容差。此外,开发了一种技术,通过利用有用的不等式来估计SPPε的上限。最后通过具有改进模型和数值示例的隧道二极管电路的实际示例,说明了所提出设计方法的可用性和实用性。

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