Improved H-infinity tracking control for nonlinear networked control systems based on T-S fuzzy model
Shenping Xiao · Control theory & applications · 2012
The H-infinity tracking control problem is studied for a class of nonlinear networked control systems(NCSs).In NCSs,a Takagi-Sugeno fuzzy model is adopted to describe the nonlinear controlled plant,and the tracked plant is rep-resented by a linear stable reference model.By using input-delay and parallel distributed compensation(PDC) techniques,we build a novel state tracking error model based on the system states at the updating instant of a zero-order holder in which both network-induced delay and data packet dropouts are considered.Furthermore,an improved weight-free ma-trix approach and the Lyapunov stability theory are employed to derive several sufficient criteria ensuring the prescribed H-infinity tracking performance of the nonlinear NCSs.Meanwhile,the fuzzy controller design method is also presented.Finally,a numerical example is given to demonstrate the usefulness and the advantages of the proposed scheme.