This book focuses on filtering, control and model-reduction problems for
two-dimensional (2-D) systems with imperfect information. The
time-delayed 2-D systems covered have system parameters subject to
uncertain, stochastic and parameter-varying changes.
After an initial introduction of 2-D systems and the ideas of linear
repetitive processes, the text is divided into two parts detailing:
- General theory and methods of analysis and optimal synthesis for 2-D
systems; and
- Application of the general theory to the particular case of
differential/discrete linear repetitive processes.
The methods developed provide a framework for stability and performance
analysis, optimal and robust controller and filter design and model
approximation for the systems considered. Solutions to the design
problems are couched in terms of linear matrix inequalities.
For readers interested in the state of the art in linear filtering,
control and model reduction, Filtering and Control for Classes of
Two-Dimensional Systems will be a useful reference for exploring the
field of 2-D systems either from a purely theoretical research
perspective or from the point of view of a multitude of potential
applications including image processing, and the study of seismographic
data or thermal processes.