LMIs in Control/pages/MatrixNormMinimization
LMI for Matrix Norm Minimization
This problem is a slight generalization of the eigenvalue minimization problem for a matrix. Calculating norm of a matrix is necessary in designing an or an optimal controller for linear time-invariant systems. In those cases, we need to compute the norm of the matrix of the closed-loop system. Moreover, we desire to design the controller so as to minimize the closed-loop matrix norm.
The System
[edit | edit source]Assume that we have a matrix function of variables :
where are symmetric matrices.
The Data
[edit | edit source]The symmetric matrices () are given.
The Optimization Problem
[edit | edit source]The optimization problem is to find the variables in order to minimize the following cost function:
where is the cost function and indicates the norm of the matrix function .
According to Lemma 1.1 in LMI in Control Systems Analysis, Design and Applications (page 10), the following statements are equivalent:
The LMI: LMI for matrix norm minimization
[edit | edit source]This optimization problem can be converted to an LMI problem.
The mathematical description of the LMI formulation can be written as follows:
Conclusion:
[edit | edit source]As a result, the variables after solving this LMI problem and we obtain that is the norm of matrix function .
Implementation
[edit | edit source]A link to Matlab codes for this problem in the Github repository:
https://github.com/asalimil/LMI-for-Matrix-Norm-Minimization
Related LMIs
[edit | edit source]LMI for Matrix Norm Minimization
LMI for Generalized Eigenvalue Problem
LMI for Maximum Singular Value of a Complex Matrix
External Links
[edit | edit source]A list of references documenting and validating the LMI.
- [1] - LMI in Control Systems Analysis, Design and Applications