Advanced Perception and Control of Intelligent Equipment
A special issue of Actuators (ISSN 2076-0825). This special issue belongs to the section "Control Systems".
Deadline for manuscript submissions: 31 January 2026 | Viewed by 62
Special Issue Editors
Interests: data fusion; cyberphysical systems security; industrial internet
Special Issues, Collections and Topics in MDPI journals
Interests: model predictive control; distributed optimization; switching systems
Interests: fuzzy control; reinforcement learning; rehabilitation robots
Interests: information fusion; multi-agent systems; networked fusion estimation
Special Issue Information
Dear Colleagues,
Intelligent equipment is increasingly integrating advanced perception, decision making, and execution capabilities to enable autonomous operation in complex industrial environments. By leveraging multi-modal sensors, edge computing, and artificial intelligence, these systems enable closed-loop control through real-time data interactions among perception modules, controllers, and actuators. Typical applications include industrial robots for precision manufacturing, surgical instruments for minimally invasive procedures, and multi-robot-arm collaborative production lines. However, the shift towards autonomous intelligent equipment presents critical challenges, especially in real-time state estimation under dynamic conditions, resilient control amid component faults, and distributed coordination of equipment clusters. This Special Issue will explore innovative solutions to advance the intelligence and reliability of equipment systems, with topics of interest including the following:
- Adaptive perception of intelligent equipment under dynamic operating conditions;
- Robust control for intelligent equipment under complex disturbance conditions;
- Fault diagnosis and isolation for intelligent equipment;
- Fault-tolerant control for intelligent equipment under actuator degradation;
- Anti-saturation control for intelligent equipment under actuator constraints;
- Distributed control for intelligent equipment with multi-actuator coupling effects;
- Learning-based autonomous decision making and optimized control for intelligent equipment;
- Discrete event system modeling and control of intelligent equipment;
- Validation of industrial-level application scenarios for intelligent equipment.
Prof. Dr. Bo Chen
Prof. Dr. Zheming Wang
Dr. Ming Chen
Dr. Rusheng Wang
Dr. Wangzhuo Yang
Guest Editors
Manuscript Submission Information
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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- intelligent equipment
- adaptive perception
- robust control
- fault diagnosis and isolation
- distributed control
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