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Author Scheinker, Alexander
Title Model-free stabilization by extremum seeking [electronic resource] / by Alexander Scheinker, Miroslav Krstic
Imprint Cham : Springer International Publishing : Imprint: Springer, 2017
book jacket
Descript ix, 127 p. : ill., digital ; 24 cm
Series SpringerBriefs in electrical and computer engineering, 2191-8112
SpringerBriefs in electrical and computer engineering
Note Introduction -- Weak Limit Averaging for Studying the Dynamics of Extremum-Seeking-Stabilized Systems -- Minimization of Lyapunov Functions -- Control Affine Systems -- Non-C2 Extremum Seeking -- Bounded Extremum Seeking -- Extremum Seeking for Stabilization of Systems Not Affine in Control -- General Choice of Extremum-Seeking Dithers -- Application Study: Particle Accelerator Tuning
With this brief, the authors present algorithms for model-free stabilization of unstable dynamic systems. An extremum-seeking algorithm assigns the role of a cost function to the dynamic system's control Lyapunov function (clf) aiming at its minimization. The minimization of the clf drives the clf to zero and achieves asymptotic stabilization. This approach does not rely on, or require knowledge of, the system model. Instead, it employs periodic perturbation signals, along with the clf. The same effect is achieved as by using clf-based feedback laws that profit from modeling knowledge, but in a time-average sense. Rather than use integrals of the systems vector field, we employ Lie-bracket-based (i.e., derivative-based) averaging. The brief contains numerous examples and applications, including examples with unknown control directions and experiments with charged particle accelerators. It is intended for theoretical control engineers and mathematicians, and practitioners working in various industrial areas and in robotics
Host Item Springer eBooks
Subject Variational principles
Engineering
Artificial intelligence
System theory
Calculus of variations
Particle acceleration
Control engineering
Engineering
Control
Systems Theory, Control
Calculus of Variations and Optimal Control; Optimization
Particle Acceleration and Detection, Beam Physics
Artificial Intelligence (incl. Robotics)
Alt Author Krstic, Miroslav
SpringerLink (Online service)
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