Isomerization of Alpha-Pinene problem (TACO)

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This page contains a model of the Isomerization of Alpha-Pinene problem in AMPL format, making use of the TACO toolkit for AMPL control optimization extensions. The original model using a collocation formulation can be found in the COPS library. Note that you will need to include a generic AMPL/TACO support file, OptimalControl.mod. To solve this model, you require an optimal control or NLP code that uses the TACO toolkit to support the AMPL optimal control extensions.

AMPL

This is the source file pinene_taco.mod

# ----------------------------------------------------------------
# Insomerization of Alpha-Pinene problem using AMPL and TACO
# (c) Christian Kirches, Sven Leyffer
#
# Source: COPS 3.1 collocation formulation - March 2004
#         Alexander S. Bondarenko - Summer 1998
# ----------------------------------------------------------------
include OptimalControl.mod;
 
param ne > 0, integer;               # number of differential equations
param np > 0, integer;               # number of ODE parameters
param nm > 0, integer;               # number of measurements
 
param bc {1..ne};                    # boundary conditions
param tau {1..nm};                   # times at which observations made
 
var t;
var tf := tau[nm];
 
param z {1..nm,1..ne};               # observations
var theta {1..np} >= 0, <= 100;                   # ODE parameters
 
var u{1..ne} >= 0, <= 200;
 
minimize l2error{i in 1..nm}:
	eval ( sum {s in 1..ne} (u[s] - z[i,s])^2, tau[i] );
 
subject to theta_bounds {i in 1..np}: theta[i] >= 0.0;      
 
subject to ode_bc {s in 1..ne}:  eval(u[s], 0.0) = bc[s];
 
subject to de1:
	diff (u[1], t) = - (theta[1]+theta[2])*u[1];
 
subject to de2:
	diff (u[2], t) = theta[1]*u[1];
 
subject to de3:
	diff (u[3], t) = theta[2]*u[1] - (theta[3]+theta[4])*u[3] + theta[5]*u[5];
 
subject to de4:
	diff (u[4], t) = theta[3]*u[3];
 
subject to de5:
	diff (u[5], t) = theta[4]*u[3] - theta[5]*u[5];
 
option solver ...;
 
solve;

Other Descriptions

Other descriptions of this problem are available in