LMIs in Control/Matrix and LMI Properties and Tools/Tangential Nevanlinna Pick

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Tangential Nevanlinna-Pick[edit | edit source]

The Tangential Nevanlinna-Pick arises in multi-input, multi-output (MIMO) control theory, particularly robust and optimal control.

The problem is to try and find a function which is analytic in and satisfies
          with                

The System[edit | edit source]

is a set of matrix valued Nevanlinna functions. The matrix valued function H({\lambda}) analytic on the open upper half plane is a Nevanlinna function if .

The Data[edit | edit source]

Given:
Initial sequence of data points on real axis with ,
And two sequences of row vectors containing distinct target points with , and with .

The LMI: Tangential Nevanlinna- Pick[edit | edit source]

Problem (1) has a solution if and only if the following is true:

Nevanlinna-Pick Approach[edit | edit source]

     

Lyapunov Approach[edit | edit source]

N can also be found using the Lyapunov equation:

     

where

The tangential Nevanlinna-Pick problem is then solved by confirming that .

Conclusion:[edit | edit source]

If is positive (semi)-definite, then there exists a norm-bounded analytic function, which satisfies           with

Implementation[edit | edit source]

Implementation requires YALMIP and a linear solver such as sedumi. [1] - MATLAB code for Tangential Nevanlinna-Pick Problem.

Related LMIs[edit | edit source]

Nevalinna-Pick Interpolation with Scaling

External Links[edit | edit source]


Return to Main Page:[edit | edit source]

LMIs in Control: https://en.wikibooks.org/wiki/LMIs_in_Control