Editorial Biologically Learned/Inspired Methods for Sensing, Control, and Decision

Yongduan Song, Jennie Si, Sonya Coleman, Dermot Kerr

Research output: Contribution to journalEditorialpeer-review

Abstract

The Special Issue aims at collecting new ideas and contributions at the frontier of bridging the gap between biological and engineering systems. Contributions include a wide range of related research topics, from neural computing to adaptive control and cooperative control, from autonomous decision systems to mathematical and computational models, and from neuropsychology-based decision and control to engineering system sensing and control algorithms, as well as applications and case studies of biologically inspired systems. This editorial note provides a brief overview of the accepted articles.
Original languageEnglish
Pages (from-to)1820-1824
Number of pages5
JournalIEEE Transactions on Neural Networks and Learning Systems
Volume33
Issue number5
DOIs
Publication statusPublished - May 2022

Keywords

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Software

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