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Modern Anti-windup Synthesis - Control Augmentation for Actuator Saturation (Hardcover, annotated edition)
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Modern Anti-windup Synthesis - Control Augmentation for Actuator Saturation (Hardcover, annotated edition)
Series: Princeton Series in Applied Mathematics
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This book provides a wide variety of state-space--based numerical
algorithms for the synthesis of feedback algorithms for linear
systems with input saturation. Specifically, it addresses and
solves the anti-windup problem, presenting the objectives and
terminology of the problem, the mathematical tools behind
anti-windup algorithms, and more than twenty algorithms for
anti-windup synthesis, illustrated with examples. Luca Zaccarian
and Andrew Teel's modern method--combining a state-space approach
with algorithms generated by solving linear matrix
inequalities--treats MIMO and SISO systems with equal ease. The
book, aimed at control engineers as well as graduate students,
ranges from very simple anti-windup construction to sophisticated
anti-windup algorithms for nonlinear systems. * Describes the
fundamental objectives and principles behind anti-windup synthesis
for control systems with actuator saturation * Takes a modern,
state-space approach to synthesis that applies to both SISO and
MIMO systems * Presents algorithms as linear matrix inequalities
that can be readily solved with widely available software *
Explains mathematical concepts that motivate synthesis algorithms *
Uses nonlinear performance curves to quantify performance relative
to disturbances of varying magnitudes * Includes anti-windup
algorithms for a class of Euler-Lagrange nonlinear systems * Traces
the history of anti-windup research through an extensive annotated
bibliography
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