Survey of machine learning techniques in spacecraft control design
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 …
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
The continuous increase of air transport demand worldwide and the push for a more
economically viable and environmentally sustainable aviation are driving significant …
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 …
A general-purpose MATLAB software program called GPOPS--II is described for solving
multiple-phase optimal control problems using variable-order Gaussian quadrature …
multiple-phase optimal control problems using variable-order Gaussian quadrature …
A survey of underwater docking guidance systems
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 …
and exploration missions. The expanding mission scope for AUVs highlights the need for a …
A ph mesh refinement method for optimal control
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 …
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 …
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
An adaptive mesh refinement method for solving optimal control problems is developed. The
method employs orthogonal collocation at Legendre–Gauss–Radau points, and adjusts …
method employs orthogonal collocation at Legendre–Gauss–Radau points, and adjusts …
Minimum-time speed optimisation over a fixed path
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 …
path for minimum time traversal. We utilise a change of variables that has been known since …
A three-stage sequential convex programming approach for trajectory optimization
Recently, sequential convex programming (SCP) has become a potential approach in
trajectory optimization because of its high efficiency. To improve stability and discretization …
trajectory optimization because of its high efficiency. To improve stability and discretization …
[ספר][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 …
car and motorcycle dynamics, and the application of nonlinear optimal control to vehicle …