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Extremum-Seeking Control and Applications: A Numerical Optimization-Based Approach (Advances in Industrial Control) by Chunlei Zhang, Raúl Ordóñez (auth.) is a nonfiction available to read on EtoBox.

What is Extremum-Seeking Control and Applications: A Numerical Optimization-Based Approach (Advances in Industrial Control) about?

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 fo

Who reads Extremum-Seeking Control and Applications: A Numerical Optimization-Based Approach (Advances in Industrial Control)?

Author

Chunlei Zhang, Raúl Ordóñez (auth.)

Publisher

Springer London : Imprint : Springer

Published

2012

Language

EN

ISBN

9781447122234

Category

nonfiction

Subjects

Mathematics, Engineering, Stem