Inverse of a sampled system
Er‐Wei Bai · 2002
We study the invertibility of a sampled data system. Necessary and sufficient invertibility conditions are given explicitly in terms of transfer function zeros. It is shown that many systems including those with "unstable" zeros or those with more inputs than outputs are in fact stably invertible. Detailed design procedures to achieve the system inverse are given. A minimum sensitivity inverse with respect to under-modeling and noise is also provided in the paper.