切换T-S模糊系统的自适应抗干扰切换控制OA

In this paper,an adaptive anti-disturbance switched control strategy is proposed for switched T-S fuzzy systems subject to multiple sources of disturbance.The multi-source disturbances encompass two components:measurable but unmodeled disturbances and unobservable disturbances modeled by neural networks.Firstly,an adaptive disturbance observer is devised for approximating dynamic neural network modeled disturbances,specifically designed for switched T-S fuzzy systems under the constraint of an average dwell time switching signal.Subsequently,an adaptive anti-disturbance controller is formulated based on the observer.The attenuation performance from the output to the available disturbances is analyzed using the L2 gain performance index.Furthermore,under the constraint of the average dwell time-dependent switching signals,the sufficient conditions for the solvability of the fuzzy adaptive anti-disturbance switching control method are provided.Finally,the rationality and effectiveness of the established adaptive anti-disturbance switched control scheme are validated through a simulation example of a mass-spring-damper system.