Simulink Simulator

Simulink simulators are powerful tools used to model and simulate complex dynamic systems, facilitating research and development across various engineering disciplines. Current research emphasizes the integration of Simulink with other platforms, such as Python for reinforcement learning and C++ for real-time applications in robotics and autonomous vehicles, enabling advanced control algorithms and attack simulations. This versatility allows for efficient prototyping, testing, and validation of control systems, particularly in areas like nonlinear model predictive control and the analysis of cyber-physical systems, ultimately accelerating innovation and improving system reliability.

Papers