On Robust State Estimation of Gene Networks:

Biomedical Engineering and Computational Biology

Chia-HuaChuang¹ 

关键词: stability;    robustness;    stochastic model;    estimation;   

DOI  :  10.1177/117959721000200001

学科分类：工程和技术（综合）

来源: Sage Journals

【 摘 要 】

Gene networks in biological systems are not only nonlinear but also stochastic due to noise corruption. How to accurately estimate the internal states of the noisy gene networks is an attractive issue to researchers. However, the internal states of biological systems are mostly inaccessible by direct measurement. This paper intends to develop a robust extended Kalman filter for state and parameter estimation of a class of gene network systems with uncertain process noises. Quantitative analysis of the estimation performance is conducted and some representative examples are provided for demonstration.

【 授权许可】

CC BY