On Robust State Estimation of Gene Networks
2010 ◽
Vol 2
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pp. 117959721000200
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Keyword(s):
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.
2014 ◽
Vol 2
(5)
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pp. 3769-3820
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2013 ◽
Vol 313-314
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pp. 1115-1119
2022 ◽
Vol 162
◽
pp. 108026
Keyword(s):
Keyword(s):