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Switching Fuzzy Model-based Control for Dynamical Systems with Input Nonlinearity

机译:基于模糊模型的输入非线性动力系统控制

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Fuzzy model-based control mainly deals with dynamical systems which affinely depend on control inputs. In this paper, we propose the switching fuzzy model construction and controller design for dynamical systems which is permitted to have nonlinearity not only in the states, but also in the inputs. By utilizing the dynamic state feedback control approach, we show that we can deal with membership functions which depend on control inputs and that the number of the fuzzy model rules which fire simultaneously can be decreased in comparison with the ordinary switching fuzzy model. We design the switching fuzzy dynamic state feedback controller and derive the controller design conditions based on the switching Lyapunov function in terms of LMIs. A design example illustrates the utility of this approach.
机译:基于模糊的模型控制主要涉及脱离控制输入的动态系统。在本文中,我们提出了用于动态系统的开关模糊模型构造和控制器设计,该系统不仅在州内具有非线性,而且在输入中。通过利用动态状态反馈控制方法,我们表明我们可以处理依赖于控制输入的成员函数,并且与普通切换模糊模型相比,可以减少同时发射的模糊模型规则的数量。我们设计开关模糊动态状态反馈控制器,并根据LMIS基于交换Lyapunov函数导出控制器设计条件。设计示例说明了这种方法的效用。

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