A Novel Nonsingleton TOD Scheduling Scheme Under Semantic-Driven Communication for Networked Control Systems.

This article proposes a novel nonsingleton try-once-discard (TOD) scheduling scheme for networked control systems (NCSs) under the semantic-driven communication, aimed at avoiding node collisions while simultaneously enhancing system operational efficiency. First, a research framework is established for NCSs operating within the semantic-driven communication paradigm. Second, a method for semantic extraction based on natural language is introduced. Subsequently, the "cultural clash" between semantic interactions and bitstream-based system components is addressed through the application of fuzzy mathematical methods. Under such semantic-driven communication mechanism, raw data is successfully compressed. Building upon the efficient compression of data, a nonsingleton TOD scheduling scheme is presented. In comparison to the traditional TOD scheduling approaches that activate only one node per transmission, the proposed scheduling scheme facilitates the simultaneous transmission of information from multiple nodes, thereby enhancing system efficiency greatly. By data-modeling semantic disparities and designing the appropriate controller, the input-to-state stability of the studied system is guaranteed, even when confronted with certain levels of semantic discrepancies. Moreover, an algorithm is provided to optimize semantically-related parameters, so as to reduce semantic discrepancies as much as possible. Finally, the effectiveness of the proposed method is verified by a six-area power system.