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SENSITIVITY ANALYSIS FOR OSCILLATING DYNAMICAL SYSTEMS. | LitMetric

SENSITIVITY ANALYSIS FOR OSCILLATING DYNAMICAL SYSTEMS.

SIAM J Sci Comput

Department of Chemical Engineering, 77 Massachusetts Avenue, Cambridge MA 02139 ; Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge MA 02139.

Published: June 2009

AI Article Synopsis

  • Boundary value formulations are introduced for effective sensitivity analysis of oscillating systems concerning model parameters and initial conditions.
  • Methods are developed to compute sensitivities of oscillation parameters like period, amplitude, and phase, starting with limit-cycle oscillators and presenting a novel classification of these sensitivities.
  • The study highlights the impact of time reference choices on sensitivity outcomes, integrates numerical techniques for solving the boundary value problem, and shows that the new methods offer better efficiency and precision than traditional partial methods.

Article 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.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3538082PMC
http://dx.doi.org/10.1137/070707129DOI Listing

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