Abstract: This paper presents a performance optimization algorithm for controller reconfiguration in fault tolerant distributed model predictive control for large-scale systems. After the fault has ...

Abstract: The purpose of the motion cueing algorithm is to reproduce the motion sensation for the drivers considering the physical limitations of this platform. Newly, the model predictive ...

Moreover, it describes the control problems of the wind turbine behind different wind speed. Section 3 introduces the Bayesian algorithm. It designs a robust model predictive controller based on ...

Linear Quadratic Gaussian Control and Model Predictive Control on a BeagleBone Blue Cooperative Attack Algorithm for UAVs is focusing on the cooperative attack problem of UAV swarm system with flight ...

Trajectory Optimization (TO) and Model Predictive Control (MPC) are model-based optimization approaches ... as well as computationally efficient and real-time optimizations algorithms. The aim of this ...

Moving from PAT to supervisory control with model predictive control (MPC) goes beyond process capability and into product quality and process optimization (Figure 1). Figure 2: Example of model ...

This repository is motion planning of autonomous driving using Model Predictive Control (MPC) based on CommonRoad Framework. We develop the algorithm with two tools, i.e., CasADi (IPOPT solver) and ...

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