Nonlinear Model Predictive Control of Quadcopter

In this paper, a swarm algorithm called the Social Spider Optimization (SSO) has been proposed for the optimization of two microwave filters (Rectangular waveguide H-plane three-

Abstract—In this paper, we propose a successive convex approximation framework for sparse optimization where the nonsmooth regularization function in the objective function is

2.3 The interpretation from the predictive control point of view The double representation of the parameterized polyhedra offers a complete description of the feasible domain for

Keywords: Model Predictive Control, parameters tuning problem, perturbed Particle Swarm Optimization, Genetic Algorithm, LabVIEW implementation, MAGLEV

In this work, we consider the application of the Particle Swarm Optimization algorithm to the NMPC optimisation problem model applied for the quadcopter tracking trajectory

A great advantage of model predictive control is the possibility to handle constraints in a principled way. This propagation is used to select which model needs to be corrected.

In this paper, we proposed a new tracking framework based on Particle Swarm Optimization formalism and, demonstrated on both, synthetic and real data, that our algorithm outper-

A Novel Distributed Particle Swarm Optimization Algorithm for the Optimal Power Flow ProblemN. Nicolo Gionfra, Guillaume Sandou, Houria Siguerdidjane, Philippe Loevenbruck,