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Extremum-seeking control tracks a varying maximum or minimum in a
performance function such as output or cost. It attempts to
determine the optimal performance of a control system as it
operates, thereby reducing downtime and the need for system
analysis. Extremum-seeking Control and Applications is divided into
two parts. In the first, the authors review existing
analog-optimization-based extremum-seeking control including
gradient-, perturbation- and sliding-mode-based control designs.
They then propose a novel numerical-optimization-based
extremum-seeking control based on optimization algorithms and state
regulation. This control design is developed for simple linear
time-invariant systems and then extended for a class of feedback
linearizable nonlinear systems. The two main optimization
algorithms - line search and trust region methods - are analyzed
for robustness. Finite-time and asymptotic state regulators are put
forward for linear and nonlinear systems respectively. Further
design flexibility is achieved using the robustness results of the
optimization algorithms and the asymptotic state regulator by which
existing nonlinear adaptive control techniques can be introduced
for robust design. The approach used is easier to implement and
tends to be more robust than those that use perturbation-based
extremum-seeking control. The second part of the book deals with a
variety of applications of extremum-seeking control: a comparative
study of extremum-seeking control schemes in antilock braking
system design; source seeking, formation control, collision and
obstacle avoidance for groups of autonomous agents; mobile radar
networks; and impedance matching. MATLAB (R)/Simulink (R) code
which can be downloaded from www.springer.com/ISBN helps readers to
reproduce the results presented in the text and gives them a head
start for implementing the algorithms in their own applications.
Extremum-seeking Control and Applications will interest academics
and graduate students working in control, and industrial
practitioners from a variety of backgrounds: systems, automotive,
aerospace, communications, semiconductor and chemical engineering.
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