Dominant-Pole Placement for Predictor Synthesis

This article analyzes the high-gain prediction approach for nonlinear input-delay systems. The problem is discussed in the light of weighted homogeneity and input-to-state stability. The canonical form for uniformly observable nonlinear systems allows tuning the spectrum of the linear part by multiplicity-induced dominance and ensures closed-loop system input-to-state stability using the descriptor method for Lyapunov-Krasovskii functionals. Due to the trade-off between delay and gain margin, a limitation of high-gain results for time-delay systems. The limitation is overcome by using a cascade of sub-predictors. A comparative analysis is also presented, showing that our proposal achieves a better trade-off between delay and gain margin.