Hi,
I’m working on an optimization project, and it would be great if I can use ACADOS for my project (I’m using Python Interface)
I want to perform optimization on:
X_dot = A(t) + B(t)*u(t)
where A(t) and B(t) are non-constant variables which is not a function of state, but known in advance. This is not usual state-space equation, and I want to optimize u(t) based on some cost function and constraints.
It is my understanding that for ACADOS, I must define the dynamics (f_expl_expr). So, basically, what I want to do is to pass pre-computed arrays of A(t) and B(t) over prediction horizon to the solver at every optimization step.
Can such formulation possible with ACADOS? Any help would be greatly appreciated
Regards,
Steve