Abstract
In this paper, an adaptive anti-disturbance switching (AADS) control
strategy is proposed for switched Takagi-Sugeno fuzzy systems (ST-SFSs)
subject to multi-source disturbances. The disturbances consist of two
parts: the available unmodeled disturbance and the disturbance modeled
by dynamic neural network. Firstly, a novel adaptive disturbance
observer is designed to approximate the dynamic neural network modeled
disturbance. Secondly, the attenuation performance from the output to
the available disturbance is analyzed by the L 2 gain index. Thirdly, a
controller based on the adaptive disturbance observer is constructed for
the ST-SFS under the average dwell time switching signal limitation.
Further, under the designed adaptive disturbance observer, and the
controller, a sufficient condition is established for the ST-SFS to
realize multi-source disturbance suppression (DS). Finally, a
mass-spring-damping simulation example is given to verify the
rationality of the established AADS control scheme.