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

Yongduan Song, Jennie Si, Sonya Coleman, Dermot Kerr

Research output: Contribution to journalReview articlepeer-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 (US)
Pages (from-to)1820-1824
Number of pages5
JournalIEEE Transactions on Neural Networks and Learning Systems
Volume33
Issue number5
DOIs
StatePublished - May 1 2022
Externally publishedYes

ASJC Scopus subject areas

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

Fingerprint

Dive into the research topics of 'Editorial Biologically Learned/Inspired Methods for Sensing, Control, and Decision'. Together they form a unique fingerprint.

Cite this