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Algorithm for the Gradient Method

Transform the optimal control problem from the variable time interval [0,tf] to the fixed cr-interval, [0,1] [Pg.191]

Integrate state equations forward using the initial conditions and the control function values. Save the values of state variables at each grid point. [Pg.192]

Evaluate the objective functional using the values of control functions and state variables. Save the objective functional value. [Pg.192]

Improve u and tf using the gradient of the objective functional as follows. Change u by —eHu at each discrete point and tf by —eJtj where e is a positive real number, which causes maximum reduction in the objective functional. [Pg.192]


Following Kelley (1962), modify the algorithm for the gradient method on p. 191 to determine the final time t using the following conditions for the... [Pg.231]


See other pages where Algorithm for the Gradient Method is mentioned: [Pg.191]   


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