Systems Science & Control Engineering

Advancing SDG 9: AI-Powered Control Paradigms for Next-Generation Industrial Automation

The achievement of SDG 9 Industry, Innovation, and Infrastructure necessitates transformative advancements in industrial automation, where AI-powered control systems serve as a cornerstone for enhancing productivity, resilience, and sustainability. This Article Collection, part of Taylor & Francis’ SDG Article Collection Series, aims to bridge the gap between cutting-edge control theory and practical industrial applications, fostering innovations that drive sustainable industrialization and infrastructure development.

This series is dedicated to publishing groundbreaking research that addresses global sustainability challenges while accelerating progress toward achieving the United Nations' Sustainable Development Goals (SDGs). Articles published within this collection will benefit from enhanced promotional activities across Taylor & Francis platforms, ensuring increased visibility and discoverability for your research.

Under the editorial leadership of Professor Wang Zidong (Editor-in-Chief), this collection will spotlight interdisciplinary research at the intersection of:

• AI/ML-Enhanced Control Systems: Adaptive, predictive, and distributed control for smart manufacturing.
• Cyber-Physical Infrastructure: Secure and scalable automation in Industry 4.0/5.0.
• Sustainable Industrialization: Energy-efficient processes, waste reduction, and circular economy integration.
• Resilient Supply Chains: Robust optimization under disruptions (e.g., pandemics, climate risks).

This collection invites submissions of Research Articles, Review Articles, and other formats that explore the following themes:

1. AI for Industrial Control
   • Reinforcement learning for real-time process optimization.
   • Digital twins for predictive maintenance and operational efficiency.
2. Sustainable Automation
   • Low-carbon production systems and energy-efficient manufacturing.
   • Human-robot collaboration for green and sustainable manufacturing.
3. Resilience & Security
   • Anomaly detection and mitigation in critical industrial infrastructure.
   • Federated learning approaches for secure and distributed industrial networks.

Submission Guidelines:

• Instructions for authors: Submit to Systems Science & Control Engineering
• Deadline: 31 December 2025

Submitting authors will be eligible for a discount on the Article Publishing charge with a specific discount code. The code must be applied at the point of submission.

Please contact [Yu, Zhan <zhan.yu@taylorandfrancis.com>] with any queries and discount codes regarding this Article Collection.

To submit your papers to this Article Collection, please:

1. Check "yes" for the question, "Are you submitting your paper for a specific special issue or article collection?"
2. Select the relevant Article Collection from the drop-down menu under the question, "Advancing SDG 9: AI-Powered Control Paradigms for Next-Generation Industrial Automation"