Guest Editors
Fabrizio Dabbene
Mark Cannon
Mohammadreza Chamanbaz
Alf Isaksson
Martina Mammarella
Davide Raimondo
Advancements in computing hardware and refinements of numerical solvers for convex optimization problems have prompted a burst of interest in the utilization of Model Predictive Control (MPC) to a myriad challenging control problems and scenarios. Undoubtedly, the tremendous success enjoyed by model-predictive controllers across a wide variety of industrial and technological settings is ascribable to the potential for optimizing performance while guaranteeing systems constraints satisfaction via recursive online optimization. This unique capability represents a most appealing feature in contexts where autonomy, safety, reliability, flexibility, and cost-effectiveness are important or essential requirements. Fueled by the growing success of MPC as a powerful and versatile tool, both in traditional and unconventional control domains, this special issue aims at providing a comprehensive snapshot of the state of the art of advanced applications of Model Predictive Control. On one hand, emphasis will be given to highlighting the benefits provided by the MPC techniques within the context of a given technological problem; on the other hand, to unveiling the challenges encountered when implementing novel theoretical findings to problems with stringent performance specifications and constraints. Within the special issue, the reader will be presented with demanding applications where different MPC techniques have been developed or tailored to achieve the required objectives while abiding by available computational resources. Topics relevant to the special issue include (but are not limited to) the following application areas:
Aerospace
Agriculture 4.0
Automotive
Biotechnology
Chemical Process
Building and Facility Automation
Embedded Systems
Energy Systems
Healthcare
Infrastructures
Marine Systems
Networks
Power Converters and Batteries
Robotics
Water Systems
Submitted articles are expected to present advancements in the MPC design and practice, driven by the specific needs of the considered applications. Off-the-shelf applications of standard MPC schemes with no added value will not be considered. Experimental validation of the proposed design is preferable, but numerical validation based on realistic simulation environments may be also considered. Only Regular Papers may be submitted to the special issue. Authors are invited to submit their manuscripts via the Transactions submission portal.
Important Dates
- Submission Site Opens: January 1, 2022
- Paper Submission Deadline: June 30, 2022
- Notification of Final Decision: December 31, 2022
- Final Manuscript Submissions: January 31, 2023
- Special Issue Publication: Summer 2023 (tentative)
For more information, please contact the editors and visit http://ieeecss.org/publication/transactions-control-systems-technology/special-issues.
