The generalized gradient algorithm presented and verified as a basis for the solution of trajectory optimization problems improves the performance index while reducing path equality constraints, and terminal equality constraints. The algorithm is conveniently divided into two phases, of which the first, 'feasibility' phase yields a solution satisfying both path and terminal constraints, while the second, 'optimization' phase uses the results of the first phase as initial guesses.
Generalized gradient algorithm for trajectory optimization
1990-12-01
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Englisch
A Conjugate Gradient Optimization Algorithm for Wavy Trajectory of Missile
Trans Tech Publications | 2013
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