Taylor & Francis

Journal Of Control And Decision

(ISSN 2330-7714)

Aims and scope

The primary aim of the Journal of Control and Decision (JCD) is to provide a platform for scientists, engineers and practitioners throughout the world to present the latest advancement in control and decision.

JCD will cover both theory and application in all the areas of these disciplines. Topics of interest include:

Cyber-physical system; Artificial intelligence and intelligent control; Big data and data mining; Unmanned system; Industrial Internet of Things; Cloud computing and edge computing; Industrial big data analysis and application; Integration of decision-making and control; Operational research; Game theory; Decision-making theory and method; Intelligent optimization algorithm; Plan, Scheduling theory and method; Reliability of systems; Modern logistics; Automatic control; Systems theory and engineering; Pattern recognition and intelligent systems; Automation engineering and applications; Information processing and information systems; Computer-aided technologies for automation systems; Sensing and measurement; Navigation, guidance, and control.

Peer Review Policy

Taylor & Francis is committed to peer-review integrity and upholding the highest standards of review. Once your paper has been assessed for suitability by the editor, it will then be double blind peer-reviewed by independent, anonymous expert referees.

STAR

Taylor & Francis/Routledge are committed to the widest possible dissemination of its journals to non-profit institutions in developing countries. Our STAR initiative offers individual researchers in Africa, South Asia and many parts of South East Asia the opportunity to gain one month’s free online access to 1,300 Taylor & Francis journals. For more information, please visit the STAR website.

Authors can choose to publish gold open access in this journal.

Read the Instructions for Authors for information on how to submit your article.