Over the past decades a considerable interest has been concentrated on
problems involving signals and systems that depend on more than one
variable. 2-D signals and systems have been studied in relation to
several modern engineering fields such as process control,
multidimensional digital filtering, image enhancement, image deblurring,
signal processing etc. Among the major results developed so far, 2-D
digital filters are investigated as a description in frequency domain or
as a convolution of the input and the unit response, which has a great
potential for practical applications in 2-D image and signal processing.
This monograph aims to address several problems of control and filtering
of 2-D discrete systems. Specifically the problems of Hinfinity
filtering, Hinfinity control, stabilization, Hinfinity model
reduction as well as Hinfinity deconvolution filtering of 2-D linear
discrete systems are treated.