A fundamental problem in control theory is concerned with the
stability of a given linear system. The design of a control system
is generally based on a simplified model. The true values of the
physical parameters may differ from the assumed values.
Robust Stability and Convexity addresses stability problems for
linear systems with parametric uncertainty. The application of
convexity techniques leads to new computationally tractable
stability criteria for families of characteristic functions with
nonlinear dependence on the parameters. Stability results as well
as stability criteria for time-delay systems with uncertainties in
coefficients and delays are reported.
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