Robust model matching design methodology for a stochastic synthetic gene network

DOI10.1016/j.mbs.2010.12.007zbMath1215.92018OpenAlexW2154692414WikidataQ51616570 ScholiaQ51616570MaRDI QIDQ543854

Chia-Hung Chang, Bor-Sen Chen, Yu-Chao Wang, Chih-Hung Wu, Hsiao-Ching Lee

Publication date: 17 June 2011

Published in: Mathematical Biosciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.mbs.2010.12.007

zbMATH Keywords

LMIexternal disturbancesglobal linearizationintrinsic parameter fluctuations

Mathematics Subject Classification ID

Probabilistic models, generic numerical methods in probability and statistics (65C20) Linear inequalities of matrices (15A39) Dynamical systems in biology (37N25) General biology and biomathematics (92B05) Systems biology, networks (92C42)

Uses Software

• Matlab
• LMI toolbox

Cites Work

• Unnamed Item
• Design principles and operating principles: the Yin and Yang of optimal functioning
• Problems of identification and control
• State Feedback $H_\infty$ Control for a Class of Nonlinear Stochastic Systems
• Shepard's Method of "Metric Interpolation" to Bivariate and Multivariate Interpolation
• Linear Matrix Inequalities in System and Control Theory
• Robust $H_{2} /H_{\infty}$ Global Linearization Filter Design for Nonlinear Stochastic Systems
• Robust H/sub /spl infin// filtering for nonlinear stochastic systems