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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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The Ensemble Kalman Filter: Theoretical formulation and practical implementation

TL;DR: The EnKF has a large user group, and numerous publications have discussed applications and theoretical aspects of it as mentioned in this paper, and also presents new ideas and alternative interpretations which further explain the success of the EnkF.
Book

Feedback Systems: An Introduction for Scientists and Engineers

TL;DR: Feedback Systems develops transfer functions through the exponential response of a system, and is accessible across a range of disciplines that utilize feedback in physical, biological, information, and economic systems.
Journal ArticleDOI

Optical magnetometry - eScholarship

Dmitry Budker, +1 more
- 01 Apr 2007 - 
TL;DR: In this article, the basic principles of modern optical magnetometers, discuss fundamental limitations on their performance, and describe recently explored applications for dynamical measurements of biomagnetic fields, detecting signals in NMR and MRI, inertial rotation sensing, magnetic microscopy with cold atoms, and tests of fundamental symmetries of nature.
Journal ArticleDOI

Controlling Complex Networks: How Much Energy Is Needed?

TL;DR: This work addresses the physically important issue of the energy required for achieving control by deriving and validating scaling laws for the lower and upper energy bounds.
References
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Journal ArticleDOI

Information-theoretic limits of control

TL;DR: An information-theoretic analysis of control systems shows feedback control to be a zero sum game: each bit of information gathered from a dynamical system by a control device can serve to decrease the entropy of that system by at most one bit additional to the reduction of entropy attainable without such information.
Journal ArticleDOI

Control of nanoparticles with arbitrary two-dimensional force fields.

TL;DR: An anti-Brownian electrophoretic trap is used to create arbitrary two-dimensional force fields for individual nanoscale objects in solution to study Brownian motion in harmonic, power-law, and double-well potentials.
Journal ArticleDOI

Looking beyond the details: a rise in system-oriented approaches in genetics and molecular biology.

Hiroaki Kitano
- 01 Apr 2002 - 
TL;DR: The current status of the field is reviewed, future research directions and issues that need to be addressed are outlined and the meaning of "system-level understanding" is still ambiguous.
Journal ArticleDOI

Inhibitory feedback required for network oscillatory responses to communication but not prey stimuli

TL;DR: The results show that a sensory system can use inhibitory feedback as a mechanism to ‘toggle’ between oscillatory and non-oscillatory firing states, each associated with a naturalistic stimulus.
Journal ArticleDOI

A new control strategy for high-speed atomic force microscopy

TL;DR: In this paper, an advanced controller consisting of a feedback and feedforward part is presented to improve the performance of an atomic force microscope (AFM) enabling topography measurements at higher scan rates with a reduced measurement error.
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