Adaptive Selection Method for the Information Exchange Mode in a Communication System for Optimizing Control of a Robotic Complex Group under Cyber Impacts

Relevance. The relevance of this study is further enhanced by the evolution of the Internet of Robotic Things (IoRT) concept, in which robotic devices operate as intelligent networked entities interacting with cloud, edge, sensing, and control components. Purpose. The purpose of this study is to develop an adaptive information exchange mode selection method for communication systems of robotic system groups to improve control resilience under cyberattacks and communication channel degradation. Methods. The paper proposes an adaptive information exchange mode selection method for optimizing the control of robotic system groups under cyberattacks and communication channel degradation. Scientific novelty. The scientific novelty of the proposed approach lies in the development of an adaptive information exchange mode selection method based on the joint assessment of communication availability, message integrity, delivery timeliness, and operational connectivity. A computational experiment involving a group of 20 robotic systems demonstrated that, under combined cyberattacks, the proposed method achieved a message delivery availability of 0.804 and a message integrity of 0.988, reduced the number of accepted false messages to 1,932, and decreased the average number of operating mode switches to 6.3 per simulation run. Practical significance. The practical significance of the proposed method lies in its applicability to the design and enhancement of communication systems for robotic system groups operating under cyberattacks and communication channel degradation.

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