Model Predictive Control: Advances in Sensor Technologies and Applications
A special issue of Sensors (ISSN 1424-8220).
Deadline for manuscript submissions: 31 May 2024 | Viewed by 1230
Special Issue Editor
Interests: soft sensors; Raman spectroscopy; fuzzy model identification; machine learning with big data; predictive control of dynamic systems; sensor fusion; data mining; indoor positioning; autonomous mobile systems
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The synergy between model predictive control (MPC) and evolving sensor technologies represents a new era of intelligent control. This Special Issue, “Model Predictive Control: Advances in Sensor Technologies and Applications”, explores the multi-faceted relationship between these two fields.
The depth of sensor feedback loops, revealing the crucial role of sensors in MPC, highlights their integral function in feedback control. The fusion of different sensor data provides a broader perspective on MPC and enriches decision-making processes. In the era of data overload, techniques to control inconsistent or unreliable sensor data are becoming increasingly important in MPC. Moreover, the real-time applicability of MPC, when tested via the integration of wireless sensor networks, is both a challenge and a breakthrough. The introduction of soft sensors that can either complement or potentially replace traditional hardware is exciting. Finally, the transformative impact of self-calibrating sensors that redefine the adaptability of MPC is being explored.
This Special Issue aims to shed light on these intersections and foster a deeper understanding of this transformative technology. The authors' insights, research and innovations are invaluable to this discourse.
You may choose our Joint Special Issue in Automation.
Yours sincerely,
Prof. Dr. Simon Tomažič
Guest Editor
Manuscript Submission Information
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Keywords
- model predictive control (MPC)
- neural network control system
- evolving control
- nonlinear control
- advanced process control
- adaptive control
- dynamic matrix control
- intelligent soft sensor
- fuzzy logic control
- self-calibrating sensor
