Linear Augmentation for Stabilizing Stationary Solutions: Potential Pitfalls and Their Application.

Rajat Karnatak
Author Information
  1. Rajat Karnatak: Nonlinear Dynamics and Time Series Analysis Research Group, Max-Planck-Institute for the Physics of Complex Systems, Nöthnitzer Str. 38, 01187 Dresden, Germany.

Abstract

Linear augmentation has recently been shown to be effective in targeting desired stationary solutions, suppressing bistablity, in regulating the dynamics of drive response systems and in controlling the dynamics of hidden attractors. The simplicity of the procedure is the main highlight of this scheme but questions related to its general applicability still need to be addressed. Focusing on the issue of targeting stationary solutions, this work demonstrates instances where the scheme fails to stabilize the required solutions and leads to other complicated dynamical scenarios. Examples from conservative as well as dissipative systems are presented in this regard and important applications in dissipative predator-prey systems are discussed, which include preventative measures to avoid potentially catastrophic dynamical transitions in these systems.

References

  1. Phys Rev Lett. 1990 Mar 12;64(11):1196-1199 [PMID: 10041332]
  2. Phys Rev E Stat Nonlin Soft Matter Phys. 2011 May;83(5 Pt 2):056206 [PMID: 21728629]
  3. Phys Rev E Stat Nonlin Soft Matter Phys. 2014 Aug;90(2):022917 [PMID: 25215809]
  4. Phys Rev E Stat Nonlin Soft Matter Phys. 2003 Dec;68(6 Pt 2):067202 [PMID: 14754357]
  5. Phys Rev E Stat Nonlin Soft Matter Phys. 2013 Nov;88(5):052911 [PMID: 24329335]
  6. Science. 1993 Nov 12;262(5136):1011-8 [PMID: 8235617]
  7. Chaos. 2012 Jun;22(2):023147 [PMID: 22757554]
  8. Science. 1993 May 28;260(5112):1273-9 [PMID: 8493571]
  9. Phys Rev Lett. 2003 Oct 31;91(18):183601 [PMID: 14611282]
  10. BMC Syst Biol. 2012;6 Suppl 1:S13 [PMID: 23046815]
  11. Phys Rev E Stat Nonlin Soft Matter Phys. 2006 Nov;74(5 Pt 1):051906 [PMID: 17279938]
  12. Phys Rev E Stat Nonlin Soft Matter Phys. 2008 Jul;78(1 Pt 1):011108 [PMID: 18763920]
  13. Science. 2002 May 3;296(5569):904-7 [PMID: 11988573]
  14. Am Nat. 1993 Dec.;142(6):911-927 [PMID: 29519140]
  15. Phys Rev E Stat Nonlin Soft Matter Phys. 2012 Apr;85(4 Pt 2):046211 [PMID: 22680560]
  16. Phys Rev E Stat Nonlin Soft Matter Phys. 2010 Apr;81(4 Pt 2):046216 [PMID: 20481816]
  17. J Theor Biol. 1998 Feb 7;190(3):201-14 [PMID: 9514649]
  18. Phys Rev Lett. 1990 Feb 19;64(8):821-824 [PMID: 10042089]
  19. J Phys Chem B. 2006 May 25;110(20):10170-6 [PMID: 16706479]
  20. Science. 1997 Oct 24;278(5338):689-92 [PMID: 9381179]
  21. Phys Rev Lett. 1994 Jan 3;72(1):68-71 [PMID: 10055568]
  22. Phys Rev Lett. 2000 Oct 16;85(16):3381-4 [PMID: 11030901]
  23. Phys Rev E Stat Nonlin Soft Matter Phys. 2011 Jun;83(6 Pt 2):067201 [PMID: 21797517]
  24. Phys Rev Lett. 2003 Aug 29;91(9):094101 [PMID: 14525187]
  25. Curr Opin Biotechnol. 2010 Jun;21(3):277-86 [PMID: 20399634]
  26. Phys Rev E Stat Nonlin Soft Matter Phys. 2007 Sep;76(3 Pt 2):035201 [PMID: 17930293]
  27. Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Topics. 1999 Jun;59(6):6574-8 [PMID: 11969644]
  28. Phys Rev Lett. 1996 Feb 5;76(6):904-907 [PMID: 10061581]

MeSH Term

Animals
Food Chain
Linear Models
Models, Biological
Nonlinear Dynamics
Population Dynamics
Predatory Behavior
Systems Analysis
Systems Biology
Systems Theory

Word Cloud

Created with Highcharts 10.0.0systemssolutionsLineartargetingstationarydynamicsschemedynamicaldissipativeaugmentationrecentlyshowneffectivedesiredsuppressingbistablityregulatingdriveresponsecontrollinghiddenattractorssimplicityproceduremainhighlightquestionsrelatedgeneralapplicabilitystillneedaddressedFocusingissueworkdemonstratesinstancesfailsstabilizerequiredleadscomplicatedscenariosExamplesconservativewellpresentedregardimportantapplicationspredator-preydiscussedincludepreventativemeasuresavoidpotentiallycatastrophictransitionsAugmentationStabilizingStationarySolutions:PotentialPitfallsApplication

Similar Articles

Cited By