By Topic

An application of system theory to stochastic models for first order chemical reactions

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Xueying Zhang ; Dept. of Electr. & Comput. Eng., Stony Brook Univ., NY, USA ; K. De Cock ; M. F. Bugallo ; P. M. Djuric

A new approach for the computation of probability distributions for coupled first order chemical reactions is introduced. The approach is based on system theory, where the system states are chemical species and the signals are probabilities. We derive the transfer functions of the so defined systems and show that they can be applied to various reaction environments. The use of block diagrams offers a clear, visual, and convenient way to decompose a complicated reaction system into simpler sub-systems and vice versa. Since the state of the system is defined as a molecule species instead of molecule population, with this method, one can study chemical reactions involving any number of molecules.

Published in:

Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005.  (Volume:5 )

Date of Conference:

18-23 March 2005