Networked Predictive Control for Complex Systems
A special issue of Automation (ISSN 2673-4052).
Deadline for manuscript submissions: closed (30 April 2023) | Viewed by 15395
Special Issue Editors
Interests: ecision and control; optimization; dynamic systems; fuzzy set theory
Interests: optimization; modeling and simulation; game theory; control theory; energy and power; home and building; industry 4.0; logistics
Special Issues, Collections and Topics in MDPI journals
Interests: intelligent transportation; logistics; energy management; resilient energy systems; automation and control theory
Interests: control of multiagents; networked and distributed systems; nonlinear systems; optimal control, automotive drones
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The rapid evolution and diffusion of information and communication technologies are leading to the implementation of complex networked systems that rely on communication, computation, and control techniques for their proper functioning.
In this context, researchers are interested in developing novel control methods for network-centric complex systems. The concept of networked control systems has thus been introduced, which refers to a distributed real-time feedback control system that integrates sensors, controllers, actuators and communication networks. In this perspective, the control of networked systems implies that the network used for the communication of the control actions is general purpose and used for various simultaneous applications; moreover, the functionalities of the control level must be diversified from the pure automatic control. Consequently, it becomes challenging to ensure real-time communications in the whole system and to guarantee high performance and stability.
Predictive control methods, thanks to the possibility of predicting the systems behavior, explicitly restrict its functioning, and optimize its performance, and are considered promising in the context of networked control systems.
The objective of this Special Issue is to collect recent research and development efforts contributing to advances in networked predictive control systems, also including state-of-the-art reviews and perspectives on future advances and applications.
Prof. Dr. Raffaele Carli
Prof. Dr. Graziana Cavone
Prof. Dr. Nicola Epicoco
Dr. Domenico Bianchi
Guest Editors
Manuscript Submission Information
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Keywords
- predictive control
- networked systems
- optimal control
- distributed control
- agent-based control
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