Control of Multistability

Multistability or coexistence of different attractors for a given set of parameters is one of the most exciting phenomena in dynamical systems. It can be found in different areas of science, such as physics, chemistry, biology, economy, and in nature. The final state of a multistable system depends...

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Author: Alexander Pisarchik
Format: article
Status:Published version
Publication Date:2014
Country:México
Institution:Centro de Investigaciones en Óptica
Repository:Repositorio Institucional CIO
OAI Identifier:oai:cio.repositorioinstitucional.mx:1002/660
Online Access:http://cio.repositorioinstitucional.mx/jspui/handle/1002/660
Access Level:Open access
Keyword:info:eu-repo/classification/cti/1
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spelling Control of MultistabilityAlexander Pisarchikinfo:eu-repo/classification/cti/1info:eu-repo/classification/cti/1Multistability or coexistence of different attractors for a given set of parameters is one of the most exciting phenomena in dynamical systems. It can be found in different areas of science, such as physics, chemistry, biology, economy, and in nature. The final state of a multistable system depends crucially on the initial conditions. From the viewpoint of applications, there are two major issues related to the emergence of multistability. On one hand, this phenomenon often can create inconvenience, as for instance, in the design of a commercial device with specific characteristics, where multistability needs to be avoided or the desired state has to be stabilized against a noisy environment, and on the other hand, the coexistence of different stable states offers a great flexibility in the system performance without major parameter changes, that can be used with the right control strategies to induce a definite switching between different coexisting states. These two examples alone illustrate the importance of multistability control in applied nonlinear science. For the last decade a lot of research has been devoted to the development of control techniques of multistable systems. These methods cover several strategies, going from feedback control methods to nonfeedback, such as periodic or stochastic perturbations capable of changing the coexisting states stability and driving the system from multistability to monostability. We review the most representative control strategies, discuss their theoretical background and experimental realization.2014-03-02info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://cio.repositorioinstitucional.mx/jspui/handle/1002/660reponame:Repositorio Institucional CIOinstname:Centro de Investigaciones en Ópticainstacron:CIOinfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-nd/4.0oai:cio.repositorioinstitucional.mx:1002/6602024-08-27T22:13:06Z
dc.title.none.fl_str_mv Control of Multistability
title Control of Multistability
spellingShingle Control of Multistability
Alexander Pisarchik
info:eu-repo/classification/cti/1
info:eu-repo/classification/cti/1
title_short Control of Multistability
title_full Control of Multistability
title_fullStr Control of Multistability
title_full_unstemmed Control of Multistability
title_sort Control of Multistability
dc.creator.none.fl_str_mv Alexander Pisarchik
author Alexander Pisarchik
author_facet Alexander Pisarchik
author_role author
dc.subject.none.fl_str_mv info:eu-repo/classification/cti/1
info:eu-repo/classification/cti/1
topic info:eu-repo/classification/cti/1
info:eu-repo/classification/cti/1
description Multistability or coexistence of different attractors for a given set of parameters is one of the most exciting phenomena in dynamical systems. It can be found in different areas of science, such as physics, chemistry, biology, economy, and in nature. The final state of a multistable system depends crucially on the initial conditions. From the viewpoint of applications, there are two major issues related to the emergence of multistability. On one hand, this phenomenon often can create inconvenience, as for instance, in the design of a commercial device with specific characteristics, where multistability needs to be avoided or the desired state has to be stabilized against a noisy environment, and on the other hand, the coexistence of different stable states offers a great flexibility in the system performance without major parameter changes, that can be used with the right control strategies to induce a definite switching between different coexisting states. These two examples alone illustrate the importance of multistability control in applied nonlinear science. For the last decade a lot of research has been devoted to the development of control techniques of multistable systems. These methods cover several strategies, going from feedback control methods to nonfeedback, such as periodic or stochastic perturbations capable of changing the coexisting states stability and driving the system from multistability to monostability. We review the most representative control strategies, discuss their theoretical background and experimental realization.
publishDate 2014
dc.date.none.fl_str_mv 2014-03-02
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info:eu-repo/semantics/publishedVersion
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dc.identifier.none.fl_str_mv http://cio.repositorioinstitucional.mx/jspui/handle/1002/660
url http://cio.repositorioinstitucional.mx/jspui/handle/1002/660
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-nd/4.0
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dc.source.none.fl_str_mv reponame:Repositorio Institucional CIO
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instname_str Centro de Investigaciones en Óptica
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