This article presents MADER, a 3-D decentralized and asynchronous trajectory planner for
UAVs that generates collision-free trajectories in environments with static obstacles …

This book is about the Augmented Lagrangian method, a popular technique for solving
constrained optimization problems. It is mainly dedicated to engineers, chemists, physicists …

We define generalized Pareto curves as the curve of inverted Pareto coefficients b (p),
where b (p) is the ratio between average income above rank p and the p‐th quantile Q …

Classical molecular dynamics (MD) simulations based on atomistic models are increasingly
used to study a wide range of biological systems. A prerequisite for meaningful results from …

This paper presents a method for multidisciplinary design optimization of offshore wind
turbines at system level. The formulation and implementation that enable the integrated …

Why is it that behaviors that rely on control, so striking in their diversity and flexibility, are
also subject to such striking limitations? Typically, people cannot engage in more than a few …

Hyperspectral band selection aims to identify an optimal subset of bands for hyperspectral
images (HSIs). For most existing clustering-based band selection methods, they directly …

For intelligent quadcopter UAVs, a robust and reliable autonomous planning system is
crucial. Most current trajectory planning methods for UAVs are suitable for static …

We present a framework for the simultaneous estimation of state and parameters of partially
observed Boolean dynamical systems (POBDS). Simultaneous state and parameter …

Wind turbine upscaling is motivated by the fact that larger machines can achieve lower
levelized cost of energy. However, there are several fundamental issues with the design of …