Robust Measurement and Control Under Noise and Vibrations
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensors Development".
Deadline for manuscript submissions: 31 July 2026 | Viewed by 4012
Special Issue Editors
Interests: stochastic resonance; biomedical signal processing; noise-assisted intelligent system
Interests: spintronics sensor; neuromorphic computing
Special Issue Information
Dear Colleagues,
Modern sensing and control systems frequently operate in complex environments where noise and vibrations degrade measurement accuracy and system performance. Ensuring reliable operation under such conditions is critical for applications ranging from industrial automation and robotics to structural health monitoring and biomedical sensing.
This Special Issue focuses on innovative approaches to enhance the robustness of sensing, signal processing, and control strategies in noisy environments. We welcome contributions on advanced sensor technologies, signal denoising techniques, machine learning-based noise reduction, and control methods designed to mitigate disturbances. Research on adaptive filtering, sensor fusion, and nonlinear system identification in the presence of noise is also highly relevant. Potential topics include, but are not limited to, novel hardware designs for noise-resilient sensors, intelligent algorithms for real-time signal enhancement, and control techniques that ensure system stability despite external disturbances. We encourage both theoretical advancements and practical implementations applicable to fields such as fault diagnosis, automotive systems, environmental monitoring, and healthcare.
We invite researchers and practitioners to submit original contributions that advance the state-of-the-art in robust sensing and control, fostering the development of more resilient and intelligent systems in challenging environments.
Potential topics include, but are not limited to, the following:
- Noise-resilient sensing;
- Vibration and acoustic signal processing;
- Robust control in noisy systems;
- AI and machine learning for noise reduction;
- Structural health monitoring;
- Adaptive filtering and sensor fusion;
- Nonlinear dynamics in noisy environments;
- Real-time signal processing;
- Smart sensors and IoT.
Dr. Zhiqiang Liao
Dr. Md. Shamim Sarker
Prof. Dr. Fabing Duan
Guest Editors
Manuscript Submission Information
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Keywords
- uncertainty and disturbance mitigation
- high-fidelity sensing technologies
- resilient cyber–physical systems
- signal integrity and data fusion
- next-generation smart sensors
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