A novel optimization-based controller synthesis method is developed fo
r nonlinear dynamic systems with structured parametric uncertainty. Fu
zzy logic is used to smoothly schedule independently designed regional
robust controllers over the plant's operational envelope. These linea
r controllers are synthesized using established conventional control d
esign techniques, e.g., quantitative feedback theory. The resulting fu
ll envelope nonlinear dynamic controller handles complex dynamic syste
ms which cannot otherwise be addressed by simple fuzzy logic control (
FLC). An analytical representation of the membership functions of FLC
allows the optimization to chose the location parameters of the region
al controllers. The scheduled controller's valid region of operation i
s maximized, thus efficiently achieving full envelope operation, while
guaranteeing pre-specified tracking performance. (C) 1997 by John Wil
ey & Sons, Ltd.