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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

Compact embedded device for lock-in measurements and experiment active control.

TL;DR: A multi-purpose toolkit for digital processing, acquisition, and feedback control designed for physics labs, which combines field-programmable-gate-array processing and microprocessor programing to get precision, ease of use, and versatility.
Journal ArticleDOI

Microchaos in human postural balance: Sensory dead zones and sampled time-delayed feedback.

TL;DR: It is shown that small-amplitude chaotic fluctuations ("microchaos") can be generated by the interplay between three essential components of human neural balance control, namely time-delayed feedback, a sensory dead zone, and frequency-dependent encoding of force.
Journal ArticleDOI

Feedback control for some solutions of the sine-Gordon equation

TL;DR: It is shown that the algorithm using coefficient at the second spatial derivative term in the sine-Gordon equation allows one to generate the same wave with prescribed energy from different initial states having different energies.
Journal ArticleDOI

Thermodynamics with continuous information flow

TL;DR: This work provides a unified thermodynamic formalism describing information transfers in autonomous as well as nonautonomous systems described by stochastic thermodynamics and shows how information is continuously generated in an auxiliary system and then transferred to a relevant system that can utilize it to fuel otherwise impossible processes.
Journal ArticleDOI

A High-Mechanical Bandwidth Fabry-Perot Fiber Cavity

TL;DR: In this paper, the authors demonstrate a locking bandwidth of 44 kHz achieved using a simple, compact design that exploits the high quality factor and low mode volume resonances that make them attractive for coupling light to individual atoms or other microscopic systems.
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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