The home space for optimal control is a Sobolev space. The home space for pseudospectral
theory is also a Sobolev space. It thus seems natural to combine pseudospectral theory with …

As optimal control problems become increasingly complex, innovative numerical methods
are needed to solve them. Direct transcription methods, and in particular, methods involving …

During conceptual design, trajectory optimization is often performed using direct methods.
This investigation illustrates that trajectory optimization and vehicle performance …

In 2020, DIDO $^\copyright $ turned 20! The software package emerged in 2001 as a basic,
user-friendly MATLAB $^\circledR $ teaching-tool to illustrate the various nuances of …

With the proposal of intelligent mines, unmanned electric shovels have become a research
hotspot in recent years. In the field of autonomous mining, optimal excavation trajectory …

Creating simplicity out of complexity, this research abandons the traditional guidance and
control architecture for aerospace vehicles and embraces a revolutionary concept based on …

During the last decade, pseudospectral methods for optimal control, the focus of this tutorial
session, have been rapidly developed as a powerful tool to enable new applications that …

Multirevolution, very low-thrust trajectory optimization problems have long been considered
difficult problems due to their large time scales and high-frequency responses. By relating …

This paper presents a unified pseudospectral computational framework for accurately and
efficiently solving optimal control problems (OCPs) of road vehicles. Under this framework …

ACOMMON task for autonomous vehicles is motion planning. Discipline-based design of
motion planning algorithms have led to the development and evolution of different …