作者: Yechiel Crispin
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摘要: The nonlinear discrete-time optimal control problem with terminal constraints is treated using a new evolutionary approach which combines genetic search for finding the sequence solution of initial value state variables. main advantage method that it does not require to obtain adjoint usually leads two-point boundary combined an optimality condition sequence. verified by solving discrete velocity direction programming effects gravity and thrust constraint on final vertical position. compared favorably results gradient methods.