This monograph bridges the gap between the nonlinear predictor as a concept and as a practical
tool presenting a complete theory of the application of predictor feedback to time-invariant
uncertain systems with constant input delays and or measurement delays. It supplies several
methods for generating the necessary real-time solutions to the systems' nonlinear differential
equations which the authors refer to as approximate predictors.Predictor feedback for linear
time-invariant (LTI) systems is presented in Part I to provide a solid foundation on the
necessary concepts as LTI systems pose fewer technical difficulties than nonlinear systems.
Part II extends all of the concepts to nonlinear time-invariant systems. Finally Part III
explores extensions of predictor feedback to systems described by integral delay equations and
to discrete-time systems.The book's core is the design of control and observer algorithms with
which global stabilization guaranteed in the previous literature with idealized (but
non-implementable) predictors is preserved with approximate predictors developed in the
book.An applications-driven engineer will find a large number of explicit formulae which are
given throughout the book to assist in the application of the theory to a variety of control
problems. A mathematician will find sophisticated new proof techniques which are developed for
the purpose of providing global stability guarantees for the nonlinear infinite-dimensional
delay system under feedback laws employing practically implementable approximate
predictors.Researchers working on global stabilization problems for time-delay systems will
find this monograph to be a helpful summary of the state of the art while graduate students in
the broad field of systems and control will advance their skills in nonlinear control design
and the analysis of nonlinear delay systems.
