Reliable fuzzy stabilization against sensor faults

Jiuxiang Dong, Yahao Chen, Guanghong Yang
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Abstract

Reliable control problems for T-S fuzzy systems with sensor faults are studied in this paper. For a class of fuzzy systems, the premise variables of which are dependent on the system states, a type of new conditions for designing fuzzy reliable controllers are proposed by applying the properties of product inference engines. In contrast to the existing approach, the new conditions are with less conservatism for T-S fuzzy system with partly unmeasurable premise variables. An example is given to show the advantage of the proposed approach.
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针对传感器故障的可靠模糊稳定
研究了具有传感器故障的T-S模糊系统的可靠控制问题。针对一类前提变量依赖于系统状态的模糊系统,利用积推理机的性质,提出了设计模糊可靠控制器的一类新条件。与现有方法相比,新条件对于部分不可测前提变量的T-S模糊系统具有较低的保守性。算例表明了该方法的优越性。
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