Guidance, flight mechanics and trajectory optimization. Volume 10 - Dynamic programming
Dynamic programming and multistage decision processes in guidance, flight mechanics, and trajectory optimization
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Dynamic programming and multistage decision processes in guidance, flight mechanics, and trajectory optimization
In order to reduce the air traffic delay in the terminal area, an immediate remedy is to increase airport capacity by an expansion of the existing runway system. The runway expansion program is often limited by budgetary constraints; the expensive facilities for a long-term improvement cannot be built at once. When a runway improvement strategy is being considered for a longer planning horizon, the investiment decision depends upon the interrelations of its composite periods. The problem, therefore, is to determine how time factor and investment decisions interact to yield an optimal improvement scheme that meets demand at a minimum cost. With this objective in mind, a dynamic programming methodology is employed to determine the optimal planning scheme. Also, an example runway improvement problem is tested to illustrate how a dynamic programming model is practical in actual application.
SEASAT-A is a research oriented program consisting of a spacecraft, precision ground tracking systems, and data processing and modelling capabilities that address both scientific and application programs problems in ocean surface dynamics for the EOPAP program. An array of active radar and passive microwave and infrared instruments allows for quantitative measurements of oceanic, atmospheric, and geodetic parameters under stormy wind and wave conditions, as well as over regions lying under a cloud cover.
Differential dynamic programming to develop second order and first order approximation methods for determining optimal control
Differential dynamic programming algorithms of second and first order for optimal control, considering nonlinear unconstrained and constrained problems
Conjugate point and dynamic programming
Dynamic programming and Pontryagin maximum principle
The corrector module of the RAEIOS program and the IMP dynamics computer program were combined to achieve a date-fitting capability with the more general spacecraft dynamics models of the IMP program. The IMP dynamics program presents models of spacecraft dynamics for satellites with long, flexible booms. The properties of the corrector are discussed and a description is presented of the performance criteria and search logic for parameter estimation. A description is also given of the modifications made to add the corrector to the IMP program. This includes subroutine descriptions, common definitions, definition of input, and a description of output.
Dynamic programming algorithm for estimating best fit, and solution to example problem
Dynamic programming applied to guidance correction for perturbed trajectory of spacecraft
Dynamic programming applications to optimal stochastic orbital transfer strategy, describing computer program
Dynamic programming applications to optimal stochastic orbital transfer strategy, describing computer program
Dynamic programming to optimize orbital control in a 24-hour communication satellite
Adaptive guidance correction policy developed from dynamic programming point of view for perturbed trajectory of spacecraft
Dynamic programming computational approach to optimization with state variable discontinuities, treating problems as multistage optimization with continuous subarc stages
Differential dynamic programming algorithm for discrete time orbit transfer optimization
Description of the development and operation of a vehicle-scheduling algorithm which has applications to the NASA problem of assigning payloads to space delivery vehicles. The algorithm is based on a discrete, integer-valued, nonserial, dynamic-programming solution to the classical problem of developing resource utilization plans with limited resources. The algorithm places special emphasis on incorporating interpayload (precedence) relationships; maintaining optimal alternate schedule definitions (a unique feature of dynamic programming) in the event of contingencies (namely, resource inventory changes) without problem resolution; and, by using a special information storage technique, reducing the computational complexity of solving realistic problems.
The objectives and requirements of the Earth and Ocean Dynamics Programs are outlined along with major goals and experiments. Spaceborne as well as ground systems needed to accomplish program goals are listed and discussed along with program accomplishments.