Sensor-Enabled Analysis and Control of Networked Control Systems
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Fault Diagnosis & Sensors".
Deadline for manuscript submissions: 31 August 2026 | Viewed by 824
Special Issue Editor
Interests: fault-tolerant control; state estimation; time-delay systems; consensus of multi-agent systems; switched neural networks; intelligent fuzzy control and systems
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Recent advances in sensing technologies have significantly enhanced the capabilities of networked control systems (NCSs), enabling real-time acquisition of critical physical and environmental data across distributed and complex environments. Sensor-enabled NCSs facilitate accurate state estimation and robust control strategies that can effectively address challenges such as communication delays, packet losses, bandwidth limitations, and cyber–physical security threats. However, the integration of large-scale sensor networks into NCSs raises new challenges in data processing, network resource allocation, fault tolerance, and system scalability. In addition, the emergence of data-driven and machine learning-based control approaches offers new opportunities for improving adaptability, resilience, and decision-making under network-induced constraints.
The purpose of this Special Issue is to highlight innovative developments related to the modeling, analysis, optimization, and control of sensor-enabled NCSs. Topics of interest include but are not limited to the following:
- Novel sensing architectures and integration strategies for NCSs;
- Distributed estimation and control algorithms under network constraints;
- Fault-tolerant and resilient control in sensor-enabled NCSs;
- Machine learning and data-driven methods for networked control;
- Performance analysis under communication and computation limitations;
- Applications in industrial automation, intelligent transportation, and smart grids.
Prof. Dr. Hao Shen
Guest Editor
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Keywords
- sensor-enabled control
- networked control systems
- distributed estimation
- fault-tolerant control
- cyber–physical systems
- data-driven control
- communication delays
- packet loss
- bandwidth constraints
- machine learning
- industrial automation
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