Coupling of ODE and DES Models for Simulation of Air Defence in War-Gaming Experiment

Abstract

The planning stage of any procedure is critical to its successful and efficient execution. Even in the military, over the last few decades, mission planning support has evolved rapidly using modern Modelling and Simulation (M&S) tools. The article focuses on the M&S of Surface Based Air Defence (SBAD) and the design of the complex hybrid simulator coupling Ordinary Differential Equation (ODE) and Discrete-Event Simulation (DES) models. The simulator includes all entities and procedures that participate in SBAD missions, specifically the ODE models of a target, missile, radar, and the models of Command and Control (C2) system procedures. The design of the simulator also includes the possibilities of automated generation of flight routes, fire control and target distribution for multiple targets and Fire Units (FU) using queuing theory algorithms. As a main platform for the development and scenario design, the Jupyter notebook environment with the Python programming language was used. The primary objectives are to design, validate, and implement the proposed simulator in SBAD mission planning, military cadets' education, and experimental tasks.

Man-in-the-Loop Control and Mission Planning for Unmanned Underwater Vehicles

“…With the continuous development of technology, people have conducted research on mission planning problems at different levels. Both mission planning and autonomous task planning have been explored in depth and widely applied in various fields, such as aircraft mission planning, ground robot task planning, and ground unmanned combat command system task planning [5][6][7][8][9]. Compared with a simple planning problem, UUV mission planning research started recently, and it can learn from the more mature technology research in the fields of robots, aircraft, satellites, and so on.…”