Nonlinear Programming (sqp)

[John G.]

Hello,
 
I'm new to Octave and I am trying to learn some of the basics, so this question may seem rather basic.  One feature that I am very interested in using is the nonlinearing programing, sqp.  I have been studying the sqp tutorial:
 
http://www.gnu.org/software/octave/doc/interpreter/Nonlinear-Programming.html#Nonlinear-Programming
 
The problem that I want to optimize occurs over several minutes in time and the controls (x) for the optimal solution will vary from the initial to the final time.  The example given appears to show constant control values (5) and one value for the objective function.  To solve the problem I need the time history of the optimal controls (x) from the intial to the final time, and the time history of the objective function values.  Is this possible?
 
Thank you,
 
John

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