In the dynamic world of autonomous systems, the demand for accurate simulation platforms has grown exponentially, enabling rigorous testing of complex algorithms and strategies in a risk-free virtual environment before real-world deployment. An effective simulator, crucial to researchers, should possess accuracy, reliability, flexibility, an intuitive interface, support for various simulation modes, realistic environment representation, data tracking, parallelization, and thorough documentation. In this paper, the integration of these features in a simulink-based simulator is approached.
A SIMULINK APPROACH TO MODELING HETEROGENEOUS DRONE FORMATIONS FOR AGENT-BASED SIMULATION
Raspaolo G.;Notaro I.;
2024
Abstract
In the dynamic world of autonomous systems, the demand for accurate simulation platforms has grown exponentially, enabling rigorous testing of complex algorithms and strategies in a risk-free virtual environment before real-world deployment. An effective simulator, crucial to researchers, should possess accuracy, reliability, flexibility, an intuitive interface, support for various simulation modes, realistic environment representation, data tracking, parallelization, and thorough documentation. In this paper, the integration of these features in a simulink-based simulator is approached.File in questo prodotto:
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