This book introduces a comprehensive and mathematically rigorous
controller design for families of nonlinear systems with time-varying
parameters and unstructured uncertainties. Although the presented
methodology is general, the specific family of systems considered is the
latest, NextGen, unconventional fixed-wing unmanned aircraft with
circulation control or morphing wings, or a combination of both.
The approach considers various sources of model and parameter
uncertainty, while the controller design depends not on a nominal plant
model, but instead on a family of admissible plants. In contrast to
existing controller designs that consider multiple models and multiple
controllers, the proposed approach is based on the 'one controller fits
all models' within the unstructured uncertainty interval.
The book presents a modeling-based analysis and synthesis approach with
additive uncertainty weighting functions for accurate realization of the
candidate systems. This differs significantly from existing designs in
that it is capable of handling time-varying characteristics.
This research monograph is suitable for scientists, engineers,
researchers and graduate students with a background in control system
theory who are interested in complex engineering nonlinear systems.