Dynamic Optimization via Nonlinear Optimization [back]

Description: The following compressed file contains an AMPL implementation for the dynamic optimization of a two-state CSTR under a simultaneous approach. The original dynamic optimization problem is converted into a NLP problem. Orthogonal collocation on finite elements is used for the temporal discretization of the original DAE system.

Download: dynopt.tar

Filename
Content
Type
hicks.mod  
NLP model formulation code
ampl
hicks.dat
NLP model parameters declaration
ampl
runhicks
Solver options, model declaration
ampl
graphs.inc
Write results in file graph.m
ampl
graph.m
Optimization Results File
matlab

Additional resources needed: AMPL and an interfaced NLP solver (IPOPT, LOQO, etc.)

Documents:  

  1. Dynamic Optimization and NLP Structure of a CSTR Reactor  [pdf]  
  2. Implementation and Solution of IPOPT Primal-Dual System [pdf]

Last modified -vzavala at cmu dot edu-