A gradient algorithm is developed that determines optimal trajectories with path equality constraints and terminal constraints. A generalized gradient is formed which improves both the performance index and the path equality constraints simultaneously. The algorithm is extended to treat terminal constraints by using Bryson's impulse response technique. The main features of this algorithm are its numerical stability and smooth convergence near the optimum.
A generalized gradient algorithm for dynamic optimization
AIAA Guidance, Navigation and Control Conference ; 1989 ; Boston, MA, United States
1989-01-01
Aufsatz (Konferenz)
Keine Angabe
Englisch
An algorithm for gradient-based dynamic optimization of UV flash processes
BASE | 2018
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