Jump to content

Time optimal car problem: Difference between revisions

From mintOC
No edit summary
Create results page with Python GEKKO
 
Line 34: Line 34:


* [[:Category:AMPL/TACO | AMPL/TACO code]] at [[Time optimal car problem (TACO)]]
* [[:Category:AMPL/TACO | AMPL/TACO code]] at [[Time optimal car problem (TACO)]]
 
* [[:Category:Gekko | GEKKO Python code]] at [[Time optimal car problem (GEKKO)]]


== References ==
== References ==

Latest revision as of 19:30, 13 March 2019

Time optimal car problem
State dimension: 1
Differential states: 2
Continuous control functions: 1
Path constraints: 6
Interior point equalities: 4

The Time optimal car problem "consists of starting and stopping a car in minimum for a fixed distance (300 units)" and can be found e.g. in [Cuthrell1987]The entry doesn't exist yet. and [Logsdon1992]Author: Logsdon, J.S.; L.T. Biegler
Journal: Chemical Engineering Science
Number: 4
Pages: 851--864
Title: Decomposition strategies for large-scale dynamic optimization problems
Volume: 47
Year: 1992
Link to Google Scholar
.

Mathematical formulation

minz,u,tftfs.t.z˙1=z2,z˙2=u,z(0)=(0,0)T,z(tf)=(300,0)T,z1(t)[0,33],z2(t)[0,330],u(t)[2,1].

where z=(z1,z2)T.

Source Code

Model descriptions are available in

References

[Cuthrell1987]The entry doesn't exist yet.
[Logsdon1992]Logsdon, J.S.; L.T. Biegler (1992): Decomposition strategies for large-scale dynamic optimization problems. Chemical Engineering Science, 47, 851--864Link to Google Scholar