State observer-based predictive proportional-integral tracking control for fuzzy input time-delay systems

This study emphasis on the problem of state tracking and disturbance attenuation for Takagi-Sugeno fuzzy based model with input time-delay via improved extended state observer based predictive proportional-integral tracking control. To be precise, a predictive proportional-integral tracking controller is formulated by implementing the Smith-Predictor strategy to restrain the influence of input time-delay. Then, with the aid of improved extended state observer, the lumped disturbance is estimated and it is combined with the predictive proportional-integral tracking control for disturbance attenuation. Further, closed-loop control-system is considered to ensure the satisfactory state tracking results for the considered system regardless of time-delay in the control input and lumped disturbances. Meanwhile, based on the Lyapunov theory approach, the stability criteria for the proposed system are formulated in terms of linear matrix inequalities following which the gain matrices are derived. Finally, in order to evident the supremacy of the proffered control system, two numerical simulation results are provided.