Trajectory optimization by a direct descent process
dc.contributor.author | Fogarty, L. E. | en_US |
dc.contributor.author | Howe, Robert Milton | en_US |
dc.date.accessioned | 2010-04-14T13:56:49Z | |
dc.date.available | 2010-04-14T13:56:49Z | |
dc.date.issued | 1968 | en_US |
dc.identifier.citation | Fogarty, L.E.; Howe, R.M. (1968). "Trajectory optimization by a direct descent process." Simulation 11(3): 145-155. <http://hdl.handle.net/2027.42/68738> | en_US |
dc.identifier.issn | 0037-5497 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/68738 | |
dc.description.abstract | The problem considered is that of trajectory optimization using step-by-step descent to minimum cost along the direction of the cost gradient with respect to the control. Using a hybrid computer, the gradient is computed di rectly as the response to nearly impulsive control perturba tions. A method is presented for computing the gradient when several terminal constraints are enforced. Examples of application of the method are presented. It is concluded that the direct gradient computation method has some significant advantages over other methods. | en_US |
dc.format.extent | 3108 bytes | |
dc.format.extent | 936670 bytes | |
dc.format.mimetype | text/plain | |
dc.format.mimetype | application/pdf | |
dc.publisher | Sage Publications | en_US |
dc.title | Trajectory optimization by a direct descent process | en_US |
dc.type | Article | en_US |
dc.subject.hlbtoplevel | Engineering | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | University of Michigan Aerospace Engineering Department Ann Arbor, Michigan | en_US |
dc.contributor.affiliationum | University of Michigan Aerospace Engineering Department Ann Arbor, Michigan | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/68738/2/10.1177_003754976801100308.pdf | |
dc.identifier.doi | 10.1177/003754976801100308 | en_US |
dc.identifier.source | Simulation | en_US |
dc.identifier.citedreference | Kelley H.J. Gradient theory of optimal flight paths Presented at ARS semi-annual meeting Los Angeles California May 9-12 1960 ARS Journal vol 30 no 10 October 1960 also see | en_US |
dc.identifier.citedreference | Kelley H.J. Method of gradients Optimization techniques chapter 6 edited by G Leitmann Academic Press 1961 | en_US |
dc.identifier.citedreference | Bryson A.E. Carroll F.J. Mikami K. Denham W.F. Lift or drag programs that minimize re-entry heating Journal Aerospace Science vol 29 no 4 April 1962 also see | en_US |
dc.identifier.citedreference | Bryson A.E. Denham W.F. A steepest-ascent method for solving optimum programming problems Raytheon Company Missile and Space Division Bedford Massachusetts Report no BR-1303 August 1961 | en_US |
dc.identifier.citedreference | Wingrove R.C. Raby J.S. Trajectory optimization using fast-time repetitive computation AFIPS Conference Proceedings vol 29 1966 Fall Joint Computer Conference November 7-10 1966 San Francisco California | en_US |
dc.identifier.citedreference | Gilbert E.G. A selected bibliography on parameter optimization methods suitable for hybrid computation SIMULATION vol 8 no 6 June 1967 | en_US |
dc.identifier.citedreference | Lawden D.F. Interplanetary rocket trajectories Advances in space science Academic Press 1959 | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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