# LMIs in Control/page/systemzeros with feedthrough

Let's say we have a transfer function defined as a ratio of two polynomials: Zeros are the roots of N(s) (the numerator of the transfer function) obtained by setting and solving for s.The values of the poles and the zeros of a system determine whether the system is stable, and how well the system performs. Similarly, the system zeros are either real or appear in complex conjugate pairs. In the case of system zeros with feedthrough, we take as full rank.

**The System**Edit

Consider a continuous-time LTI system, , with minimal statespace representation

**The Data**Edit

The matrices needed as inputs are:

In this case,

**The LMI:** System Zeros with feedthroughEdit

The transmission zeros of are the eigenvalues of . Therefore , is a minimum phase if and only if there exists , where such that

**Conclusion:**Edit

If P exists, it ensures non-minimum phase. Eigenvalues of then gives the zeros of the system.

**Related LMIs**Edit

**Implementation**Edit

https://github.com/Ricky-10/coding107/blob/master/systemzeroswithfeedthrough

## External LinksEdit

A list of references documenting and validating the LMI.

- LMI Methods in Optimal and Robust Control - A course on LMIs in Control by Matthew Peet.
- LMI Properties and Applications in Systems, Stability, and Control Theory - A List of LMIs by Ryan Caverly and James Forbes.
- LMIs in Systems and Control Theory - A downloadable book on LMIs by Stephen Boyd.
- Control_Systems/Poles_and_Zeros