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Switching fuzzy controller design based on switching Lyapunov function for a class of nonlinear systems

机译:一类非线性系统基于切换Lyapunov函数的切换模糊控制器设计

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This paper presents a switching fuzzy controller design for a class of nonlinear systems. A switching fuzzy model is employed to represent the dynamics of a nonlinear system. In our previous papers, we proposed the switching fuzzy model and a switching Lyapunov function and derived stability conditions for open-loop systems. In this paper, we design a switching fuzzy controller. We firstly show that switching fuzzy controller design conditions based on the switching Lyapunov function are given in terms of bilinear matrix inequalities, which is difficult to design the controller numerically. Then, we propose a new controller design approach utilizing an augmented system. By introducing the augmented system which consists of the switching fuzzy model and a stable linear system, the controller design conditions based on the switching Lyapunov function are given in terms of linear matrix inequalities (LMIs). Therefore, we can effectively design the switching fuzzy controller via LMI-based approach. A design example illustrates the utility of this approach. Moreover, we show that the approach proposed in this paper is available in the research area of piecewise linear control.
机译:本文提出了一类非线性系统的开关模糊控制器设计。采用切换模糊模型来表示非线性系统的动力学。在之前的论文中,我们提出了开环系统的切换模糊模型和切换Lyapunov函数以及导出的稳定性条件。在本文中,我们设计了一个开关模糊控制器。我们首先表明,基于双线性矩阵不等式给出了基于切换李雅普诺夫函数的切换模糊控制器设计条件,这在数值上难以设计。然后,我们提出了一种利用增强系统的新控制器设计方法。通过引入由切换模糊模型和稳定线性系统组成的增强系统,基于线性矩阵不等式(LMI)给出了基于切换Lyapunov函数的控制器设计条件。因此,我们可以通过基于LMI的方法有效地设计开关模糊控制器。一个设计示例说明了此方法的实用性。此外,我们表明本文提出的方法可用于分段线性控制的研究领域。

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