Intelligent Control for Autonomous and Unmanned Systems
A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Automation and Control Systems".
Deadline for manuscript submissions: 31 January 2027 | Viewed by 1098
Special Issue Editor
Interests: multiagent systems; neuro-adaptive control; fault-tolerant control; impulsive control; quantized control; reinforcement learning for optimal control and applications to unmanned systems
Special Issue Information
Dear Colleagues,
The rapid advancement of autonomous and unmanned systems—including aerial, ground, and underwater vehicles (UUVs)—leads to more and more convoluted control problems. While traditional control theories provide a solid foundation, intelligent control strategies will play a more suitable role in such area. These strategies seamlessly integrate perception, planning, and action into a cohesive framework. The establishment of the new control theories and algorithms will bring great challenges.
This Special Issue aims to gather high-quality research articles that address the latest breakthroughs and persistent challenges in intelligent control for autonomous systems. We seek to showcase novel methodologies that enhance autonomy, resilience, cooperation, and efficiency. The scope encompasses both theoretical developments and practical applications, with a focus on bridging the gap between simulation and real-world deployment. This Special Issue fits the scope of automation and control in Machines.
Dr. Yiyan Han
Guest Editor
Manuscript Submission Information
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Keywords
- UAVs
- UGVs
- AUVs
- MASs
- adaptive control
- optimal control
- NN-based control
- RL control
- fuzzy control
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