Title :
A new measurement based approach to the study of biological systems
Author :
Mohsenizadeh, Daniel N. ; Nounou, H. ; Nounou, M. ; Datta, Amitava
Author_Institution :
Dept. of Electr. & Comput. Eng., Texas A&M Univ., College Station, TX, USA
Abstract :
This paper proposes a new approach to the analysis and design of biological systems. It will be shown that, upon an application of Time-Scale Separation Principle to a nonlinear biochemical system at steady-state, a rational polynomial function relates the chemical characteristics of slow-rate substances. This functional dependency can be determined by a small set of measurements. With the functional dependency in hand, one can impose design constraints, such as limiting values for concentration of product substances, and extract corresponding values for the design parameters. Some important characteristics of this rational polynomial form will be also explored.
Keywords :
biochemistry; functional analysis; nonlinear dynamical systems; polynomials; reaction kinetics theory; biological system analysis; biological system design; biological systems; chemical characteristics; measurement based approach; rational polynomial function; slow rate substances; steady state nonlinear biochemical system; time scale separation principle; Biochemistry; Biological system modeling; Biological systems; Polynomials; Steady-state; Vectors; Linear systems; biological systems; measurement based approach; rank condition;
Conference_Titel :
Communications, Control and Signal Processing (ISCCSP), 2014 6th International Symposium on
Conference_Location :
Athens
DOI :
10.1109/ISCCSP.2014.6877813