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Journal ArticleDOI

Feedback for physicists: A tutorial essay on control

John Bechhoefer
- 31 Aug 2005 - 
- Vol. 77, Iss: 3, pp 783-836
TLDR
In this paper, a tutorial essay aims to give enough of the formal elements of control theory to satisfy the experimentalist designing or running a typical physics experiment and enough to satisfy a theorist wishing to understand its broader intellectual context.
Abstract
Feedback and control theory are important ideas that should form part of the education of a physicist but rarely do. This tutorial essay aims to give enough of the formal elements of control theory to satisfy the experimentalist designing or running a typical physics experiment and enough to satisfy the theorist wishing to understand its broader intellectual context. The level is generally simple, although more advanced methods are also introduced. Several types of applications are discussed, as the practical uses of feedback extend far beyond the simple regulation problems where it is most often employed. Sketches are then provided of some of the broader implications and applications of control theory, especially in biology, which are topics of active research.

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Citations
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Journal ArticleDOI

Oscillations in feedback-driven systems: Thermodynamics and noise.

TL;DR: This work uses the apparatus of stochastic thermodynamics to investigate the role of noise and thermodynamic cost in feedback-driven oscillations, revealing that oscillations can remain coherent for an indefinite time in a finite system with thermal fluctuations in a limit of diverging thermodynamics cost.
Journal ArticleDOI

Controlling coherence of noisy and chaotic oscillators by a linear feedback

TL;DR: In this paper, the authors analyze the dynamics of a noisy limit cycle oscillator coupled to a general passive linear system and demonstrate that the phase diffusion constant, which characterizes the coherence of the oscillations, can be efficiently controlled.
Journal ArticleDOI

Tunable composition and properties of Al-O-N films prepared by reactive deep oscillation magnetron sputtering

TL;DR: In this paper, a low-temperature deposition of Al-O-N films in a wide range of compositions is reported, and the relationship between film composition, structure and functional properties is discussed.
Journal ArticleDOI

Overcoming Oscillation Quenching via Mean-Field Feedback

TL;DR: Observational studies have shown that many natural systems need to remain in rhythmic oscillation activity, yet the appearance of oscillation quenching phenomena lead to the breakdown of intrinsic activity.

Quantum Simulation of Triangular, Honeycomb and Kagome Crystal Structures using Ultracold Atoms in Lattices of Laser Light

TL;DR: Thomas et al. as discussed by the authors used a mean-field treatment of the Bose-Hubbard model to characterize optical lattice potentials using matter-wave diffraction and found that the properties of the triangular, honeycomb and kagome lattices are consistent with the mean field scaling prediction.
References
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Book

Elements of information theory

TL;DR: The author examines the role of entropy, inequality, and randomness in the design of codes and the construction of codes in the rapidly changing environment.
Book

System Identification: Theory for the User

Lennart Ljung
TL;DR: Das Buch behandelt die Systemidentifizierung in dem theoretischen Bereich, der direkte Auswirkungen auf Verstaendnis and praktische Anwendung der verschiedenen Verfahren zur IdentifIZierung hat.
Journal ArticleDOI

Statistical mechanics of complex networks

TL;DR: In this paper, a simple model based on the power-law degree distribution of real networks was proposed, which was able to reproduce the power law degree distribution in real networks and to capture the evolution of networks, not just their static topology.
Journal ArticleDOI

The Structure and Function of Complex Networks

Mark Newman
- 01 Jan 2003 - 
TL;DR: Developments in this field are reviewed, including such concepts as the small-world effect, degree distributions, clustering, network correlations, random graph models, models of network growth and preferential attachment, and dynamical processes taking place on networks.
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