TACO
swMATH ID:  10169 
Software Authors:  Kirches, Christian; Leyffer, Sven 
Description:  TACO: a toolkit for AMPL control optimization. We describe a set of extensions to the AMPL modeling language to conveniently model mixedinteger optimal control problems for ODE or DAE dynamic processes. These extensions are realized as AMPL user functions and suffixes and do not require intrusive changes to the AMPL language standard or implementation itself. We describe and provide TACO, a Toolkit for AMPL Control Optimization that reads AMPLurl{stub.nl} files and detects the structure of the optimal control problem. This toolkit is designed to facilitate the coupling of existing optimal control software packages to AMPL. We discuss requirements, capabilities, and the current implementation. Using the example of the multiple shooting code for optimal control MUSCODII, a direct and simultaneous method for DAEconstrained optimal control, we demonstrate how the problem information provided by the TACO toolkit is interfaced to the solver. In addition, we show how the MSMINTOC algorithm for mixedinteger optimal control can be used to efficiently solve mixedinteger optimal control problems modeled in AMPL. We use the AMPL extensions to model three control problem examples and we discuss how those extensions affect the representation of optimal control problems. Solutions to these problems are obtained by using MUSCODII and MSMINTOC inside the AMPL environment. A collection of further AMPL control models is provided on the web site http://mintoc.de. MUSCODII and MSMINTOC have been made available on the NEOS Server for Optimization, using the TACO toolkit to enable input of AMPL models. 
Homepage:  http://link.springer.com/article/10.1007%2Fs1253201300547 
Keywords:  mixedinteger optimal control; differentialalgebraic equations; domain specific languages; mathematical modeling 
Related Software:  Optimica; JModelica; Ipopt; AMPL; pyomo.dae; ACADO; Pyomo; Python; qpHPSC; MuShROOM; Mintoc; gPROMS; PROPT; Drake; CAZSL; MuJoCo; Crocoddyl; NumPy; TensorFlow; CasADi 
Cited in:  3 Documents 
Standard Articles
1 Publication describing the Software, including 1 Publication in zbMATH  Year 

TACO: a toolkit for AMPL control optimization. Zbl 1302.49043 Kirches, Christian; Leyffer, Sven 
2013

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Cited by 10 Authors
Cited in 2 Serials
2  Mathematical Programming Computation 
1  Vietnam Journal of Mathematics 