Informational Coordinative and Teleological Control of Distributed and Multi Agent Systems
A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Multidisciplinary Applications".
Deadline for manuscript submissions: 28 February 2025 | Viewed by 77
Special Issue Editor
Interests: cybernetics; robotics; multi agent systems; probabilistic algorithms; decision-making under uncertainty
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The control of distributed and multi-agent systems depends on the type of system and involves several issues. In continuous distributed systems (the systems of indistinguishable agents), control is conducted by transmitting information
- via the boundaries and changes in boundary conditions;
- directly to the agents by varying the fields in which the systems act.
In multi-agent systems with distinguishable agents (like multi-robot systems), control methods involve
- managing physical relations between the agents;
- adjusting information available to the system and global constraints;
- handling information exchange between the agents and shared resources.
Each of these issues is a subject of intensive study, and, even in the case of linear systems, they still involve numerous open problems. In non-linear systems, the complexity of control intensively grows and is usually possible only by means of adjusting information resources. The further addition of uncertainty in the systems’ behavior and control techniques converts control methods to an art rather than to science.
This Special Issue aims to discuss models of control of distributed and multi-agent systems by managing available information and global constraints. Examples of such models are provided by
- the systems associated with the Klimontovich S-theorem and corresponding changes in the systems’ entropy;
- the systems of active Brownian particles acting in varying fields, and their entropy-based control;
- multi-robot systems and swarm dynamics in dynamic environments with internal and external information flows;
- game theoretic models with competing control and controlled systems and information exchange between them.
Certainly, the list of models of control based on information flows and entropy criterions can be continued and is not limited to the indicated examples.
This Special Issue invites original works, including scientific articles and project reports, and comprehensive inspiring reviews that can lead to novel approaches in the field of informational coordinative and teleological control of distributed and multi-agent systems.
Dr. Eugene Kagan
Guest Editor
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Keywords
- distributed system
- multi agent system
- informational control
- uncertainty
- entropy criterions
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