Literature DB >> 23397450

A method for the reconstruction of unknown non-monotonic growth functions in the chemostat.

Jan Sieber1, Alain Rapaport, Serafim Rodrigues, Mathieu Desroches.   

Abstract

We propose an adaptive control law that allows one to identify unstable steady states of the open-loop system in the single-species chemostat model without the knowledge of the growth function. We then show how one can use this control law to trace out (reconstruct) the whole graph of the growth function. The process of tracing out the graph can be performed either continuously or step-wise. We present and compare both approaches. Even in the case of two species in competition, which is not directly accessible with our approach due to lack of controllability, feedback control improves identifiability of the non-dominant growth rate.

Mesh:

Year:  2013        PMID: 23397450     DOI: 10.1007/s00449-013-0912-8

Source DB:  PubMed          Journal:  Bioprocess Biosyst Eng        ISSN: 1615-7591            Impact factor:   3.210


  1 in total

1.  Integrating the underlying structure of stochasticity into community ecology.

Authors:  Lauren G Shoemaker; Lauren L Sullivan; Ian Donohue; Juliano S Cabral; Ryan J Williams; Margaret M Mayfield; Jonathan M Chase; Chengjin Chu; W Stanley Harpole; Andreas Huth; Janneke HilleRisLambers; Aubrie R M James; Nathan J B Kraft; Felix May; Ranjan Muthukrishnan; Sean Satterlee; Franziska Taubert; Xugao Wang; Thorsten Wiegand; Qiang Yang; Karen C Abbott
Journal:  Ecology       Date:  2019-12-26       Impact factor: 5.499

  1 in total

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