Title :
YALMIP : a toolbox for modeling and optimization in MATLAB
Author_Institution :
Lab. of Autom. Control, Eidgenossische Tech. Hochschule, Zurich
Abstract :
The MATLAB toolbox YALMIP is introduced. It is described how YALMIP can be used to model and solve optimization problems typically occurring in systems and control theory. In this paper, free MATLAB toolbox YALMIP, developed initially to model SDPs and solve these by interfacing eternal solvers. The toolbox makes development of optimization problems in general, and control oriented SDP problems in particular, extremely simple. In fact, learning 3 YALMIP commands is enough for most users to model and solve the optimization problems
Keywords :
control engineering computing; mathematics computing; optimisation; software packages; 3 YALMIP command learning; Matlab toolbox YALMIP; control theory; modeling; optimization; semidefinite programming; systems theory; Automatic control; Control systems; Control theory; Integer linear programming; Linear programming; MATLAB; Mathematical model; Quadratic programming; Riccati equations; Robust control;
Conference_Titel :
Computer Aided Control Systems Design, 2004 IEEE International Symposium on
Conference_Location :
Taipei
Print_ISBN :
0-7803-8636-1
DOI :
10.1109/CACSD.2004.1393890
