Literature DB >> 1248848

Controllability, observability and structural identifiability of multi input and multi output biological compartmental systems.

C Cobelli, G Romanin-Jacur.   

Abstract

Mesh：

Year:  1976        PMID： 1248848     DOI： 10.1109/tbme.1976.324568

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN： 0018-9294            Impact factor:   4.538


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  10 in total

1.  A review of techniques for parameter sensitivity analysis of environmental models.

Authors:  D M Hamby
Journal:  Environ Monit Assess       Date:  1994-09       Impact factor: 2.513

2.  Structural identifiability and sensitivity.

Authors:  Athanassios Iliadis
Journal:  J Pharmacokinet Pharmacodyn       Date:  2019-03-20       Impact factor: 2.745

3.  The design and analysis of parallel experiments to produce structurally identifiable models.

Authors:  S Y Amy Cheung; James W T Yates; Leon Aarons
Journal:  J Pharmacokinet Pharmacodyn       Date:  2013-01-09       Impact factor: 2.745

4.  Adequacy of measurements in compartmental modelling of metabolic systems.

Authors:  R F Brown; E R Carson; L Finkelstein; K R Godfrey; R P Jones
Journal:  Med Biol Eng Comput       Date:  1979-03       Impact factor: 2.602

5.  On the identification by filtering techniques of a biological n-compartment model in which the transport rate parameters are assumed to be stochastic processes.

Authors:  C Cobelli; L M Morato
Journal:  Bull Math Biol       Date:  1978       Impact factor: 1.758

6.  ON IDENTIFIABILITY OF NONLINEAR ODE MODELS AND APPLICATIONS IN VIRAL DYNAMICS.

Authors:  Hongyu Miao; Xiaohua Xia; Alan S Perelson; Hulin Wu
Journal:  SIAM Rev Soc Ind Appl Math       Date:  2011-01-01       Impact factor: 10.780

7.  A Hybrid Modeling Technique of Epidemic Outbreaks with Application to COVID-19 Dynamics in West Africa.

Authors:  Chénangnon Frédéric Tovissodé; Jonas Têlé Doumatè; Romain Glèlè Kakaï
Journal:  Biology (Basel)       Date:  2021-04-23

8.  Fitting dynamic models to epidemic outbreaks with quantified uncertainty: A Primer for parameter uncertainty, identifiability, and forecasts.

Authors:  Gerardo Chowell
Journal:  Infect Dis Model       Date:  2017-08-12

9.  Observability of Boolean multiplex control networks.

Authors:  Yuhu Wu; Jingxue Xu; Xi-Ming Sun; Wei Wang
Journal:  Sci Rep       Date:  2017-04-28       Impact factor: 4.379

10.  Assessing parameter identifiability in compartmental dynamic models using a computational approach: application to infectious disease transmission models.

Authors:  Kimberlyn Roosa; Gerardo Chowell
Journal:  Theor Biol Med Model       Date:  2019-01-14       Impact factor: 2.432
  10 in total

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