Published March 11, 2014
| Version v1
Journal article
Applying robust control theory to solve problems in bio-medical sciences: study of an apoptotic model
Creators
- 1. School of Systems Engineering, University of Reading, RG6 6AY (United Kingdom)
Description
Biological models of an apoptotic process are studied using models describing a system of differential equations derived from reaction kinetics information. The mathematical model is re-formulated in a state-space robust control theory framework where parametric and dynamic uncertainty can be modelled to account for variations naturally occurring in biological processes. We propose to handle the nonlinearities using neural networks
Availability note (English)
Available from http://dx.doi.org/10.1088/1742-6596/490/1/012140Additional details
Identifiers
Publishing Information
- Journal Title
- Journal of Physics. Conference Series (Online)
- Journal Volume
- 490
- Journal Issue
- 1
- Journal Page Range
- [5 p.]
- ISSN
- 1742-6596
Conference
- Title
- 2. international conference on mathematical modeling in physical sciences 2013
- Acronym
- IC-MSQUARE 2013
- Dates
- 1-5 Sep 2013
- Place
- Prague (Czech Republic)
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 46073821
- Subject category
- S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
- Resource subtype / Literary indicator
- Conference
- Descriptors DEI
- APOPTOSIS; BIOLOGICAL MODELS; CONTROL THEORY; DIFFERENTIAL EQUATIONS; MATHEMATICAL MODELS; NEURAL NETWORKS; NONLINEAR PROBLEMS; REACTION KINETICS; SPACE; VARIATIONS
- Descriptors DEC
- EQUATIONS; KINETICS