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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.
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.
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