DEVS (Discrete Event System Specification) systems enable dynamic and event-driven modeling of complex systems. Combinational logic can contribute to the autonomous behavior of these systems by defining internal rules that link inputs (natural factors: sunlight, temperature, wind) to outputs (photovoltaic panel efficiency) without external intervention. This paper illustrates how integrating combinational logic into a DEVS model, simulated on a Java-based platform developed during my PhD, improves the system’s responsiveness and autonomy. Experimental field data are used as a basis to validate the models and demonstrate that DEVS alone is sufficient, but that combinational logic represents a valuable complement.

Internal transitions in DEVS make it possible to effectively model variations in natural factors influencing photovoltaic panels. The use of combinational logic constitutes a powerful complement, increasing the autonomy and responsiveness of simulated systems. This approach, validated by field data, shows that DEVS remains sufficient for simulation, but that combinational logic can optimize autonomous behavior in complex systems.

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