Linear matrix inequality
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This linear matrix inequality specifies a convex constraint on ''y''. | This linear matrix inequality specifies a convex constraint on ''y''. | ||
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== LMI Geometry == | == LMI Geometry == |
Revision as of 02:20, 5 December 2008
In convex optimization, a linear matrix inequality (LMI) is an expression of the form
where
- is a real vector,
- are symmetric matrices in the subspace of symmetric matrices ,
- is a generalized inequality meaning is a positive semidefinite matrix belonging to the positive semidefinite cone in the subspace of symmetric matrices .
This linear matrix inequality specifies a convex constraint on y.
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LMI Geometry
Although matrix is finite-dimensional, is generally not a polyhedral cone (unless equals 1 or 2) simply because .
Provided the matrices are linearly independent, then relative interior = interior
meaning, the cone interior is nonempty; implying, the dual cone is pointed (Dattorro, ch.2).
If matrix has no nullspace, on the other hand, then is an isomorphism in between the positive semidefinite cone and range of matrix .
In that case, convex cone has relative interior
and boundary
When the matrices are linearly independent, function on is a linear bijection.
Inverse image of the positive semidefinite cone under must therefore have dimension .
In that circumstance, the dual cone interior is nonempty
having boundary
Applications
There are efficient numerical methods to determine whether an LMI is feasible (i.e., whether there exists a vector such that ), or to solve a convex optimization problem with LMI constraints. Many optimization problems in control theory, system identification, and signal processing can be formulated using LMIs. The prototypical primal and dual semidefinite program is a minimization of a real linear function respectively subject to the primal and dual convex cones governing this LMI.
External links
- S. Boyd, L. El Ghaoui, E. Feron, and V. Balakrishnan, Linear Matrix Inequalities in System and Control Theory
- C. Scherer and S. Weiland Course on Linear Matrix Inequalities in Control, Dutch Institute of Systems and Control (DISC).