H∞ Model Reduction of 2-D Discrete Systems
The problem of model reduction for 2-D systems has received considerable attention due to their importance in 2-D signal and image processing applications  where it is usually desirable to represent a high-order system by a lower-order model. The essence of model reduction is to obtain a reduced order model which approximates the original system without significant error. Recently, the H ∞ model reduction method has attracted a lot of interest for 1-D systems; see . The H ∞ model reduction aims to find a low-order model such that the H ∞ norm of the difference between the original model and the reduced order model is small.
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