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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
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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

The engineering of gene regulatory networks.

TL;DR: How networks with increased complexity are being constructed from simple modular components and how quantitative deterministic and stochastic modeling of these modules may provide the foundation for accurate in silico representations of gene regulatory network function in vivo are discussed.
Journal ArticleDOI

Modeling network dynamics: the lac operon, a case study

TL;DR: This work uses the lac operon in Escherichia coli as a prototype system to illustrate the current state, applicability, and limitations of modeling the dynamics of cellular networks.
Journal ArticleDOI

Identification and open-loop tracking control of a piezoelectric tube scanner for high-speed scanning-probe microscopy

TL;DR: This paper presents a model-based open-loop controlled system that enables imaging of up to 125-/spl mu/m-sized samples at a line scan rate of 122 Hz, which is about 15 times faster than the commercial system.
Journal ArticleDOI

A brief history of automatic control

TL;DR: In this paper, the authors look at the history of automatic control in four main periods as follows: early control up to 1900, pre-classical period 1900-1940, classical period 1935-1960, and modem control post 1955.
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