CasADi: a software framework for nonlinear optimization and optimal control

被引:2511
作者
Andersson, Joel A. E. [1 ]
Gillis, Joris [2 ,3 ]
Horn, Greg [4 ]
Rawlings, James B. [1 ]
Diehl, Moritz [5 ]
机构
[1] Univ Wisconsin, Dept Chem & Biol Engn, Madison, WI 53706 USA
[2] Katholieke Univ Leuven, Dept Mech Engn, MECO Res Team, Leuven, Belgium
[3] Flanders Make, DMMS Lab, Leuven, Belgium
[4] Kitty Hawk, Mountain View, CA USA
[5] Univ Freiburg, Dept Microsyst Engn IMTEK, Freiburg, Germany
基金
欧洲研究理事会;
关键词
Optimization; Optimal control; Open source optimization software; MODEL-PREDICTIVE CONTROL; NEAR-OPTIMAL CONTROL; TRAJECTORY OPTIMIZATION; DYNAMIC OPTIMIZATION; SQP ALGORITHM; SYSTEMS; IMPLEMENTATION; REACTOR; SPACE; NMPC;
D O I
10.1007/s12532-018-0139-4
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
We present CasADi, an open-source software framework for numerical optimization. CasADi is a general-purpose tool that can be used to model and solve optimization problems with a large degree of flexibility, larger than what is associated with popular algebraic modeling languages such as AMPL, GAMS, JuMP or Pyomo. Of special interest are problems constrained by differential equations, i.e. optimal control problems. CasADi is written in self-contained C++, but is most conveniently used via full-featured interfaces to Python, MATLAB or Octave. Since its inception in late 2009, it has been used successfully for academic teaching as well as in applications from multiple fields, including process control, robotics and aerospace. This article gives an up-to-date and accessible introduction to the CasADi framework, which has undergone numerous design improvements over the last 7 years.
引用
收藏
页码:1 / 36
页数:36
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