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Ubiquitous Computing–Enabled Intelligent Control of Discrete Event Systems: A Cyber-Physical and Data-Driven Approach
Abstract
Ubiquitous computing (UbiComp) has fundamentally transformed modern computing paradigms by enabling seamless integration of sensing, computation, and communication across distributed and heterogeneous environments (Weiser, 1991). In parallel, Discrete Event Systems (DES) provide a powerful modeling framework for complex systems whose dynamics evolve asynchronously through the occurrence of discrete events, such as manufacturing systems, logistics networks, and intelligent transportation systems (Cassandras & Lafortune, 2009). However, conventional DES control approaches are largely model-driven and rule-based, limiting their adaptability under uncertainty, environmental variability, and partial observability.This study proposes a ubiquitous computing–enabled intelligent control framework for DES, grounded in cyber-physical systems (CPS) and data-driven methodologies. The proposed framework integrates pervasive sensing infrastructures, real-time data acquisition, and machine learning–based analytics to enable context-aware and adaptive control decisions.
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