Introduction to the Special Issue on Approaches to Control Biological and Biologically Inspired Networks

Reka Albert, John Baillieul, Adilson E. Motter

Research output: Contribution to journalArticlepeer-review

2 Scopus citations


The emerging field at the intersection of quantitative biology, network modeling, and control theory has enjoyed significant progress in recent years. This Special Issue brings together a selection of papers on complementary approaches to observe, identify, and control biological and biologically inspired networks. These approaches advance the state of the art in the field by addressing challenges common to many such networks, including high dimensionality, strong nonlinearity, uncertainty, and limited opportunities for observation and intervention. Because these challenges are not unique to biological systems, it is expected that many of the results presented in these contributions will also find applications in other domains, including physical, social, and technological networks.

Original languageEnglish (US)
Pages (from-to)690-693
Number of pages4
JournalIEEE Transactions on Control of Network Systems
Issue number2
StatePublished - Jun 2018


  • Complex networks
  • biological control
  • biological networks
  • control
  • input-output systems
  • nonlinear dynamics
  • observability
  • parameter estimation
  • sensor selection
  • state estimation
  • system identification

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Signal Processing
  • Computer Networks and Communications
  • Control and Optimization


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