Two-dimensional linear systems. (English) Zbl 0593.93031

Lecture Notes in Control and Information Sciences, 68. Berlin etc.: Springer-Verlag. IX, 398 p. DM 62.00 (1985).
This book refers to the new and interesting area of 2-D (two-dimensional) systems. These systems have been studied in relation to several modern engineering fields such as 2-D digital filtering, seismic data processing, X-ray image enhancement, the enhancement and analysis of aerial photographs for detection of fires or crop damage, the analysis of weather photos, image deblurring, etc.
The book is devided in seven chapters. Overall, the book may be grouped into two sections. The first section includes chapters 1,2,3 and 4 and covers 2-D system theory concepts such as state-space models, transition matrices, response formulas, transfer functions, the realization problem, controllability, observability, reachability, stability and others. The second section includes chapters 5, 6 and 7 and covers feedback design techniques to solve various 2-D control problems such as characteristic polynomial and eigenvalue assignment, asymptotic and deadbeat observers, exact model matching, input-output decoupling, deadbeat control, the deadbeat servo problem, etc. Finally, an Appendix is included giving basic definitions, theorems and computational algorithms.
The book is very well written and organized and covers the various subjects mentioned previously very much in detail and in depth. It is highly suggested for those involved in multidimensional system theory, in control theory, in multidimensional filtering and other related areas. It is an invaluable monograph to have particular for graduate students and post-graduate researchers working in the area of multidimensional systems.
Reviewer: P.Paraskevopoulos


93C35 Multivariable systems, multidimensional control systems
93-02 Research exposition (monographs, survey articles) pertaining to systems and control theory
93C05 Linear systems in control theory
93Bxx Controllability, observability, and system structure
93C55 Discrete-time control/observation systems
93D99 Stability of control systems
93E11 Filtering in stochastic control theory