Literature DB >> 23296349

SENSITIVITY ANALYSIS FOR OSCILLATING DYNAMICAL SYSTEMS.

A Katharina Wilkins1, Bruce Tidor, Jacob White, Paul I Barton.   

Abstract

Boundary value formulations are presented for exact and efficient sensitivity analysis, with respect to model parameters and initial conditions, of different classes of oscillating systems. Methods for the computation of sensitivities of derived quantities of oscillations such as period, amplitude and different types of phases are first developed for limit-cycle oscillators. In particular, a novel decomposition of the state sensitivities into three parts is proposed to provide an intuitive classification of the influence of parameter changes on period, amplitude and relative phase. The importance of the choice of time reference, i.e., the phase locking condition, is demonstrated and discussed, and its influence on the sensitivity solution is quantified. The methods are then extended to other classes of oscillatory systems in a general formulation. Numerical techniques are presented to facilitate the solution of the boundary value problem, and the computation of different types of sensitivities. Numerical results are verified by demonstrating consistency with finite difference approximations and are superior both in computational efficiency and in numerical precision to existing partial methods.

Entities:  

Year:  2009        PMID: 23296349      PMCID: PMC3538082          DOI: 10.1137/070707129

Source DB:  PubMed          Journal:  SIAM J Sci Comput        ISSN: 1064-8275            Impact factor:   2.373


  5 in total

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Authors:  J J Tyson; C I Hong; C D Thron; B Novak
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3.  Isochron-based phase response analysis of circadian rhythms.

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4.  Autonomously oscillating biochemical systems: parametric sensitivity of extrema and period.

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5.  The Per2 negative feedback loop sets the period in the mammalian circadian clock mechanism.

Authors:  A Katharina Wilkins; Paul I Barton; Bruce Tidor
Journal:  PLoS Comput Biol       Date:  2007-12       Impact factor: 4.475

  5 in total
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2.  A systems theoretic approach to analysis and control of mammalian circadian dynamics.

Authors:  John H Abel; Francis J Doyle
Journal:  Chem Eng Res Des       Date:  2016-10-08       Impact factor: 3.739

3.  Computational modeling of the cell-autonomous mammalian circadian oscillator.

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7.  Estimating confidence intervals in predicted responses for oscillatory biological models.

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  8 in total

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