Abstract: This brief introduces a nonlinear model predictive control (NMPC) scheme for multirotor electric Vertical Take-off and Landing (eVTOL) aircrafts with many actuators. We present a novel ...

Model predictive control (MPC) achieves stability and constraint satisfaction for general nonlinear systems but requires computationally expensive online optimization. This brief studies ...

This study proposes an innovative one-dimensional nonlinear consolidation analysis framework by comprehensively considering continuous drainage boundary conditions and cyclic dynamic loads, more ...

src/ ├─ px4ctrl/ # ESO-NMPC controller core ├─ sim_rc/ # Remote control simulator │ └─ sim_rc_node # Gazebo RC simulation node ├─ utils/ # Dependency packages │ ├─ cmake_utils/ # CMake configuration ...

Artificial intelligence (AI) is transforming the energy sector, helping power plant operators optimize efficiency, reduce emissions, and prevent costly equipment failures. By analyzing vast amounts of ...

Model predictive control (MPC) has emerged as a leading methodology for steering nonlinear processes by solving a constrained optimisation problem at each sampling instant. By forecasting future ...

Model predictive control (MPC) has emerged as a pivotal strategy for the guidance and navigation of unmanned aerial vehicles (UAVs), marrying optimisation theory with real-time control. By solving a ...