Dynamical Systems, Control, Coding, Computer Vision

New Trends, Interfaces, and Interplay

  • Giorgio Picci
  • David S. Gilliam
Conference proceedings

Part of the Progress in Systems and Control Theory book series (PSCT, volume 25)

Table of contents

  1. Front Matter
    Pages ii-xi
  2. P. A. Fuhrmann
    Pages 69-91
  3. Clyde F. Martin, Lawrence Schovanec
    Pages 173-202
  4. Peter Benner, Ralph Byers, Volker Mehrmann, Hongguo Xu
    Pages 203-222
  5. Eduardo D. Sontag
    Pages 223-262
  6. Maria Elena Valcher, Jan C. Willems
    Pages 283-299
  7. G. David Forney Jr.
    Pages 301-320
  8. R. Cipolla, P. R. S. Mendonça
    Pages 369-391
  9. M. Clerc, S. Mallat
    Pages 393-417
  10. Patrick C. Teo, Guillermo Sapiro, Brian A. Wandell
    Pages 419-432
  11. S. Soatto
    Pages 433-448
  12. A. Balluchi, M. D. Di Benedetto, C. Pinello, A. Sangiovanni-Vincentelli
    Pages 449-479
  13. J. G. Thistle
    Pages 481-493

About these proceedings


This book is a collection of essays devoted in part to new research direc­ tions in systems, networks, and control theory, and in part to the growing interaction of these disciplines with new sectors of engineering and applied sciences like coding, computer vision, and hybrid systems. These are new areas of rapid growth and of increasing importance in modern technology. The essays, written by world-leading experts in the field, reproduce and expand the plenary and minicoursejminisymposia invited lectures which were delivered at the Mathematical Theory of Networks and Systems Sym­ posium (MTNS-98), held in Padova, Italy, on July 6-10, 1998. Systems, control, and networks theory has permeated the development of much of present day technology. The impact has been visible in the past fifty years through the dramatic expansion and achievements of the aerospace and avionics industry, through process control and factory au­ tomation, robotics, communication signals analysis and synthesis, and, more recently, even finance, to name just the most visible applications. The theory has developed from the early phase of its history when the ba­ sic tools were elementary complex analysis, Laplace transform, and linear differential equations, to present day, where the mathematics ranges widely from functional analysis, PDE's, abstract algebra, stochastic processes and differential geometry. Irrespective of the particular tools, however, the ba­ sic unifying paradigms of feedback, stability, optimal control, and recursive filtering, have remained the bulk of the field and continue to be the basic motivation for the theory, coming from the real world.


Networks algebra dynamical systems equation function geometry mathematics

Editors and affiliations

  • Giorgio Picci
    • 1
  • David S. Gilliam
    • 2
  1. 1.Dipartimento di Elettronica e InformaticaUniversità di PadovaPadovaItalia
  2. 2.Department of Mathematics and StatisticsTexas Tech UniversityLubbockUSA

Bibliographic information