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Trajectory optimization using colloc...

The University of Texas at Arlington., Aerospace Engineering.

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Trajectory optimization using collocation and evolutionary programming for constrained nonlinear dynamical systems.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Trajectory optimization using collocation and evolutionary programming for constrained nonlinear dynamical systems./
Author:	Shippey, Brandon Merle.
Description:	119 p.
Notes:	Adviser: Kamesh Subbarao.
Contained By:	Masters Abstracts International46-06.
Subject:	Engineering, Aerospace. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1453338
ISBN:	9780549557029

Trajectory optimization using collocation and evolutionary programming for constrained nonlinear dynamical systems.
Shippey, Brandon Merle.

Trajectory optimization using collocation and evolutionary programming for constrained nonlinear dynamical systems. - 119 p.

Adviser: Kamesh Subbarao.

Thesis (M.S.)--The University of Texas at Arlington, 2008.

The framework is applied to three minimum-time case studies: (i) a path planning problem for two mobile robots with obstacle avoidance; (ii) an aircraft turning maneuver; (iii) a low-thrust interplanetary transfer.

ISBN: 9780549557029Subjects--Topical Terms:

1018395
Engineering, Aerospace.

Trajectory optimization using collocation and evolutionary programming for constrained nonlinear dynamical systems.
LDR:02058nmm 2200325 a 45 001 886354
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020 $a 9780549557029
035 $a (UMI)AAI1453338
035 $a AAI1453338
040 $a UMI $c UMI
100 1 $a Shippey, Brandon Merle. $3 1058044
245 1 0 $a Trajectory optimization using collocation and evolutionary programming for constrained nonlinear dynamical systems.
300 $a 119 p.
500 $a Adviser: Kamesh Subbarao.
500 $a Source: Masters Abstracts International, Volume: 46-06, page: 3334.
502 $a Thesis (M.S.)--The University of Texas at Arlington, 2008.
520 $a The framework is applied to three minimum-time case studies: (i) a path planning problem for two mobile robots with obstacle avoidance; (ii) an aircraft turning maneuver; (iii) a low-thrust interplanetary transfer.
520 $a Trajectory design and optimization has a broad variety of applications in fields such as aerospace and electrical engineering. The solution of a trajectory that minimizes a cost function subject to nonlinear differential equations of motion and various types of constraints may be obtained by the methods of optimal control theory.
520 $a A framework is presented for numerical solution of the optimal control problem. The solution is converted to that of a constrained discrete parameter optimization problem. Direct collocation and nonlinear programming are used to perform a local gradient-based search for the optimal solution. A genetic algorithm combined with a shooting method conducts a global search of the solution space to provide a near-optimal, near-feasible initialization for the nonlinear program.
590 $a School code: 2502.
650 4 $a Engineering, Aerospace. $3 1018395
650 4 $a Engineering, Robotics. $3 1018454
690 $a 0538
690 $a 0771
710 2 $a The University of Texas at Arlington. $b Aerospace Engineering. $3 1030575
773 0 $t Masters Abstracts International $g 46-06.
790 $a 2502
790 1 0 $a Dogan, Atilla $e committee member
790 1 0 $a Lawrence, Kent $e committee member
790 1 0 $a Subbarao, Kamesh, $e advisor
791 $a M.S.
792 $a 2008
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1453338