Show simple item record

contributor authorLi
contributor authorXiang;Wang
contributor authorXiaonpeng;Zhang
contributor authorHoujun;Guo
contributor authorYuheng
date accessioned2017-12-30T11:43:21Z
date available2017-12-30T11:43:21Z
date copyright10/3/2017 12:00:00 AM
date issued2017
identifier issn1050-0472
identifier othermd_139_12_124501.pdf
identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4242783
description abstractIn the previous reports, analytical target cascading (ATC) is generally applied to product optimization. In this paper, the application area of ATC is expanded to trajectory optimization. Direct collocation method is utilized to convert a trajectory optimization into a nonlinear programing (NLP) problem. The converted NLP is a large-scale problem with sparse matrix of functional dependence table (FDT) suitable for the application of ATC. Three numerical case studies are provided to show the effects of ATC in solving trajectory optimization problems.
publisherThe American Society of Mechanical Engineers (ASME)
titleTrajectory Optimization Using Analytical Target Cascading
typeJournal Paper
journal volume139
journal issue12
journal titleJournal of Mechanical Design
identifier doi10.1115/1.4037714
journal fristpage124501
journal lastpage124501-5
treeJournal of Mechanical Design:;2017:;volume( 139 ):;issue: 012
contenttypeFulltext


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record