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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

Revisiting Quantum Feedback Control: Disentangling the Feedback-induced Phase from the Corresponding Amplitude

TL;DR: In this article, a microwave pump field is used to control the feedback phase of a three-level coherent time-delayed feedback system, and the Rabi frequency of the pump field induces phase shifts on demand and therefore increases the applicability of coherent feedback control protocols.
Journal ArticleDOI

Tiered social distancing policies and epidemic control

TL;DR: In this paper , the authors use ideas from Behavioural Epidemiology to represent tiered policies in an SEIRS model by using a composite information index including multiple indicators of current and past epidemic activity mimicking those used by governments during the COVID-19 pandemic, such as transmission intensity, infection incidence and hospitals occupancy.
Journal ArticleDOI

Implementation of a stable, high-power optical lattice for quantum gas microscopy

TL;DR: In this article, the authors describe the design and implementation of a stable high-power 1064 nm laser system to generate optical lattices for experiments with ultracold quantum gases.
Book ChapterDOI

Proof of Concept: Few-Cycle Pulse Generation and Carrier-Envelope-Phase Stabilization

Marcus Seidel
TL;DR: In this article, the authors pointed out important breakthroughs of solid-state laser architectures and emphasized the potential of the thin-disk technology to become the foundation of the upcoming power-scalable laser oscillator generation.
Journal ArticleDOI

Broadening the dynamic range of the Pound–Drever–Hall frequency stabilization technique

TL;DR: In this paper, the Pound-Drever-Hall technique is used for laser frequency or optical cavity length stabilization, and the conventional error signal divided by the transmission power serves as the new error signal, which increases the dynamic range.
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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