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Adjoint sensitivity analysis for hybrid systems and its application to identification of biological systems
2010
Procedia - Social and Behavioral Sciences
Many practical problems of identification, parameter estimation and optimization of dynamical systems have dual, continuousdiscrete nature. For example the task of parameter estimation for continuous-time model when discrete-time measurements are given has such a form. The gradient-based optimization of a performance index may use the gradient obtained by both forward or adjoint sensitivity analysis. Here we present a structural approach to construction of the adjoint system for any hybrid
doi:10.1016/j.sbspro.2010.05.162
fatcat:i7f6psz54nhodkzmr3rs4rabny