z-logo
Premium
A second‐order optimization algorithm using quadric control updates for multistage optimal control problems
Author(s) -
Patel Prashant,
Scheeres Daniel J.
Publication year - 2009
Publication title -
optimal control applications and methods
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.458
H-Index - 44
eISSN - 1099-1514
pISSN - 0143-2087
DOI - 10.1002/oca.876
Subject(s) - quadric , mathematical optimization , algorithm , computer science , trajectory , linear programming , nonlinear system , quadratic programming , nonlinear programming , criss cross algorithm , order (exchange) , optimal control , optimization problem , sequential quadratic programming , trajectory optimization , mathematics , linear fractional programming , physics , finance , quantum mechanics , astronomy , pure mathematics , economics
This paper describes a trajectory optimization algorithm that generates a quadric control update, which satisfies the constraints and necessary conditions to the second order. The algorithm is designed to solve multistage optimization problems. The algorithm is tested against a commercially available Sequential Quadratic Programming algorithm on problems with linear dynamics and linear and nonlinear constraints. This algorithm is a departure from previous methods because it explicitly satisfies the constraints to the second order. Copyright © 2009 John Wiley & Sons, Ltd.

This content is not available in your region!

Continue researching here.

Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom