This paper considers the yaw-moment control issue for uncertain electric vehicle systems with sensor failures and actuator saturation. By employing the interval type-2 (IT2) fuzzy approach, the uncertain electric vehicle systems are constructed as an IT2 fuzzy model. In this model, the parameter uncertainties are described through the membership functions (MFs) with lower and upper bounds. Then, an IT2 fuzzy state-feedback controller, which can share different MFs with the IT2 fuzzy model, is designed. The sensor failures can be quantified by a variable varying in a given interval. Meanwhile, the saturation nonlinearities can be handled by employing a norm-bounded strategy. By means of the Lyapunov stability approach, sufficient conditions of the controller design are derived to achieve the desired performance. Finally, simulation results based on the electric vehicle systems are presented to demonstrate the effectiveness of the proposed control scheme.

中文翻译：

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具有传感器故障和执行器饱和的不确定电动汽车系统的模糊控制

本文考虑了带有传感器故障和执行器饱和的不确定电动汽车系统的横摆力矩控制问题。通过采用区间2型（IT2）模糊方法，将不确定的电动汽车系统构建为IT2模糊模型。在此模型中，参数不确定性通过具有上下限的隶属函数（MF）来描述。然后，设计了可以与IT2模糊模型共享不同MF的IT2模糊状态反馈控制器。传感器故障可以通过在给定间隔内变化的变量来量化。同时，可以通过采用范数有界策略来处理饱和非线性。通过Lyapunov稳定性方法，可以得出控制器设计的充分条件，以获得所需的性能。最后，