Time optimal car problem: Difference between revisions
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* [[: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 == | |||
<biblist /> | <biblist /> | ||
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
.
Mathematical formulation
where .
Source Code
Model descriptions are available in
- AMPL/TACO code at Time optimal car problem (TACO)
- GEKKO Python code at Time optimal car problem (GEKKO)
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--864 | ![]() |