Abstract Space mission design places a premium on cost and operational efficiency. The
search for new science and life beyond Earth calls for spacecraft that can deliver scientific …

This paper introduces GEKKO as an optimization suite for Python. GEKKO specializes in
dynamic optimization problems for mixed-integer, nonlinear, and differential algebraic …

Musculoskeletal simulations are used in many different applications, ranging from the
design of wearable robots that interact with humans to the analysis of patients with impaired …

This paper presents FROST, an open-source MATLAB toolkit for modeling, trajectory
optimization and simulation of hybrid dynamical systems with a particular focus in dynamic …

The optimal trajectory planning problem for train operations under constraints and fixed
arrival time is considered. The varying line resistance, variable speed restrictions, and …

Dynamic engineering systems are playing an increasingly important role in society,
especially as active and autonomous dynamic systems become more mature and prevalent …

The connected automated vehicles (CAVs) are envisioned to be implemented most likely on
electric vehicles, while traditional fuel-powered manually-driven vehicles (MVs) would …

We present successive convexification, a real-time-capable solution method for nonconvex
trajectory optimization, with continuous-time constraint satisfaction and guaranteed …

Energy-efficient train control (EETC) has been studied a lot over the last decades, because it
contributes to cost savings and reduction of CO 2 emissions. The aim of EETC is to minimize …

We consider a combined train control and scheduling problem involving multiple trains in a
railway line with a predetermined departure/arrival sequence of the trains at stations and …