14th IFAC Symposium on System Identification, SYSID 2006

SYSID-2006 Paper Abstract


Paper WeB1.2

Musters, Mark W.J.M. (Eindhoven Univ. of Tech.), Lindenaar, Daniel J.W. (Eindhoven Univ. of Tech.), Juloski, Aleksandar (Eindhoven Univ. of Tech.), Van Riel, Natal A.W. (Eindhoven Univ. of Tech.)

Hybrid Identification of Nonlinear Biochemical Processes

Scheduled for presentation during the Regular Session "Identification of Hybrid and Parameter Varying Systems" (WeB1), Wednesday, March 29, 2006, 15:50−16:10, Concert Hall

14th IFAC Symposium on System Identification, March 29 - 31, 2006, Newcastle, Australia

This information is tentative and subject to change. Compiled on July 17, 2018

Keywords Biological Systems, Hybrid and Distributed System Identification


Disentangling the complexity of biochemical networks requires knowledge about the quantitative relationships between the individual components. However, the nonlinear dynamics of biochemical processes are difficult to identify with traditional identification methods. We therefore propose to model the complex nonlinear biochemical processes with several simpler systems (modes), together with a switching rule that determines which mode is active, i.e. with a hybrid system. We consider the example of a nonlinear biochemical oscillator, and propose a simple piecewise affine (PWA) approximation. Qualitative analysis shows that the PWA model is able to capture the dynamics of the nonlinear oscillator. Hybrid identification procedure is subsequently applied to identify the parameters of the PWA model.