Author Guidelines & Submissions

Submit high-quality research in applied mathematics and control engineering

Contribution Types

Full Paper
  • Significant research, development, or application of control concepts
  • Standard length: 8–12 pages (incl. bios & photos)
  • Up to 4 extra pages allowed at £225/page
  • Double-column format required at submission
Technical Note
Brief
  • Tutorials, surveys, and perspectives on theory and applications
  • Standard length: 4–6 pages
  • Up to 2 extra pages allowed at £25/page
  • Double-column format required at submission

Submission Process

1
Prepare Your Manuscript

Download and use the official IJAMCE LaTeX or Word template. Ensure your manuscript is written in English and formatted in double-column layout. Check that no portion has been previously published or is under consideration elsewhere.

2
Submit via Email

Send your manuscript as an email attachment to the editorial office at IJAMCE@aliyun.com. Include a cover letter stating the contribution type, confirming the manuscript has not been published elsewhere, and providing author contact details.

3
Peer Review

All submitted manuscripts undergo double-blind peer review by at least two independent experts. Authors are notified of the editorial decision and reviewer comments typically within 4–8 weeks.

4
Revision & Acceptance

If revisions are requested, authors should address all reviewer comments carefully and resubmit within the specified timeframe. Upon acceptance, the final manuscript is prepared for publication.

5
Open Access Publication

Accepted papers are published open access in IJAMCE. All published articles receive a DOI and are freely available to readers worldwide.

Manuscript Templates

Use the official IJAMCE templates to ensure correct formatting. LaTeX is strongly recommended for manuscripts with mathematical content.

Research Scope

IJAMCE welcomes original contributions in all areas of mathematical theory in control engineering, including but not limited to:

U-Model Control Adaptive Control Neural Networks Control Sliding Mode Control Nonlinear Analysis Stochastic Processes Differential Equations (ODE/PDE) Calculus of Variations Robust Control Model Predictive Control Intelligent Control System Identification