Gao, X.; Xiao, G.; Xie, K.; Wang, W.; Fu, Y.; Chang, C.; Wang, Z. A Framework of Modeling and Simulation Based on Swarm Ontology for Autonomous Unmanned Systems. Appl. Sci.2023, 13, 9297.
Gao, X.; Xiao, G.; Xie, K.; Wang, W.; Fu, Y.; Chang, C.; Wang, Z. A Framework of Modeling and Simulation Based on Swarm Ontology for Autonomous Unmanned Systems. Appl. Sci. 2023, 13, 9297.
Gao, X.; Xiao, G.; Xie, K.; Wang, W.; Fu, Y.; Chang, C.; Wang, Z. A Framework of Modeling and Simulation Based on Swarm Ontology for Autonomous Unmanned Systems. Appl. Sci.2023, 13, 9297.
Gao, X.; Xiao, G.; Xie, K.; Wang, W.; Fu, Y.; Chang, C.; Wang, Z. A Framework of Modeling and Simulation Based on Swarm Ontology for Autonomous Unmanned Systems. Appl. Sci. 2023, 13, 9297.
Abstract
For the emerging autonomous swarm technology, from the perspective of systems science and systems engineering, there must be some novel elements and methods to aggregate multiple systems into a group, which distinguish with the general components with specific functions, and we expect to provide the presentation of their existence in the swarm development processes. The inspiration of our methodology origins from the integration of swarm ontology, multi-paradigm modeling, multi-agent system, cyber-physical system, etc. Therefore, we choose the model-driven technology as a framework to acquire an approach of model representation across the multiple levels of abstraction and composition. The autonomous strategic mechanism is defined and formed in parallel with ConOps analysis and systems design, so as to effectively solve the cognitive problem of emergence caused by the nonlinear causation among individual and whole behaviors. This approach highlights to use the MBSE processes and their artifacts to embed the meso mechanism to integrate the operational and the functional, and which means to connect the macro and micro aspects in formalism and so to become a whole with its expected goals, and then to verify and validate within a L-V-C simulation environment.
Keywords
swarm ontology; autonomous system; model-driven; multi-paradigm modeling; model-base systems engineering
Subject
Computer Science and Mathematics, Robotics
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
