LMIs in Control/Click here to continue/Software for LMIs and Optimization
Appearance
Software for LMIs and Optimization
We will be Majorly using these softwares for solving the LMIs' problems:
Gurobi :
- -You can download the program from this link https://www.gurobi.com/.
- -Try logging in using the University's email id.
- -If you cannot proceed with downloads using your personal wifi, it may be required for you to download the program using University's wifi.
- -Once downloaded, install it in the path where your MATLAB is installed.
- -Upon successful installation, you should be able to run a demo code from the Gurobi dome code files.
Sedumi :
- -You can download the program from this link https://sedumi.ie.lehigh.edu/?page_id=58.
- -Try logging in using the University's email id.
- -Once downloaded, install it in the path where your MATLAB is installed.
- -Upon successful installation, you should be able to run a demo code from the Sedumi dome code files.
- -This is the most commonly used solver for the LMIs in Control course.
- -You can use this solver to solve linear programming problems as well.
Cplex :
- -This is the solver from IBM
- -You can download the program from this link https://www.ibm.com/academic/topic/data-science
- -Try logging in using the University's email id.
- -It may take a day or two to get your license approved. Once approved you can use the link to download the program.
- -Once downloaded, install it in the path where your MATLAB is installed.
- -Upon successful installation, you should be able to run a demo code from the IBM Cplex dome code files.
MOSEK:
- -You can download the program from this link https://www.mosek.com/products/academic-licenses/
- -Try logging in using the University's email id.
- -Once downloaded, install it in the path where your MATLAB is installed.
- -Upon successful installation, you should be able to run a demo code from the Mosek dome code files.
SOSTOOLS:
- -This tool helps us to solve non-linear systems
- -The download link for the tool is provided here: http://control.asu.edu/sostools/
- -Once downloaded, install the tool in your MATLAB path.
- -Try running a demo code from the list of demo codes in the sostools folder.