Survey of machine learning techniques in spacecraft control design

M Shirobokov, S Trofimov, M Ovchinnikov - Acta Astronautica, 2021 - Elsevier
In this paper, a survey on the machine learning techniques in spacecraft control design is
given. Among the applications of machine learning on the subject are the design of optimal …

Multi-objective optimisation of aircraft flight trajectories in the ATM and avionics context

A Gardi, R Sabatini, S Ramasamy - Progress in Aerospace Sciences, 2016 - Elsevier
The continuous increase of air transport demand worldwide and the push for a more
economically viable and environmentally sustainable aviation are driving significant …

GPOPS-II: A MATLAB software for solving multiple-phase optimal control problems using hp-adaptive Gaussian quadrature collocation methods and sparse nonlinear …

MA Patterson, AV Rao - ACM Transactions on Mathematical Software …, 2014 - dl.acm.org
A general-purpose MATLAB software program called GPOPS--II is described for solving
multiple-phase optimal control problems using variable-order Gaussian quadrature …

A survey of underwater docking guidance systems

AM Yazdani, K Sammut, O Yakimenko… - Robotics and Autonomous …, 2020 - Elsevier
Autonomous underwater vehicles (AUVs) are increasingly being used for underwater survey
and exploration missions. The expanding mission scope for AUVs highlights the need for a …

A ph mesh refinement method for optimal control

MA Patterson, WW Hager… - … Control Applications and …, 2015 - Wiley Online Library
A mesh refinement method is described for solving a continuous‐time optimal control
problem using collocation at Legendre–Gauss–Radau points. The method allows for …

Convergence of the forward-backward sweep method in optimal control

M McAsey, L Mou, W Han - Computational Optimization and Applications, 2012 - Springer
Abstract The Forward-Backward Sweep Method is a numerical technique for solving optimal
control problems. The technique is one of the indirect methods in which the differential …

[HTML][HTML] Adaptive mesh refinement method for optimal control using nonsmoothness detection and mesh size reduction

F Liu, WW Hager, AV Rao - Journal of the Franklin Institute, 2015 - Elsevier
An adaptive mesh refinement method for solving optimal control problems is developed. The
method employs orthogonal collocation at Legendre–Gauss–Radau points, and adjusts …

Minimum-time speed optimisation over a fixed path

T Lipp, S Boyd - International Journal of Control, 2014 - Taylor & Francis
In this paper we investigate the problem of optimising the speed of a vehicle over a fixed
path for minimum time traversal. We utilise a change of variables that has been known since …

Sequential convex programming method using adaptive mesh refinement for entry trajectory planning problem

X Zhou, RZ He, HB Zhang, GJ Tang, WM Bao - Aerospace Science and …, 2021 - Elsevier
Sequential convex programming method is one of the potential approaches to make
trajectory generation onboard. However, the contradiction between the solution accuracy …

[图书][B] Dynamics and optimal control of road vehicles

DJN Limebeer, M Massaro - 2018 - books.google.com
Dynamics and Optimal Control of Road Vehicles uniquely offers a unified treatment of tyre,
car and motorcycle dynamics, and the application of nonlinear optimal control to vehicle …