Computation and Control III

Proceedings of the Third Bozeman Conference, Bozeman, Montana, August 5–11, 1992

  • Kenneth Bowers
  • John Lund

Part of the Progress in Systems and Control Theory book series (PSCT, volume 15)

Table of contents

  1. Front Matter
    Pages i-xiii
  2. H. T. Banks, Yun Wang
    Pages 49-62
  3. Kurt Bryan
    Pages 73-82
  4. Christopher I. Byrnes, David S. Gilliam
    Pages 105-120
  5. Timothy S. Carlson, John Lund, Kenneth L. Bowers
    Pages 121-139
  6. Giovanni B. DiMasi, Diego Bricio Hernández, Thomas J. Taylor
    Pages 153-163
  7. Kenneth A. Doll, Christopher I. Byrnes
    Pages 181-192
  8. Richard H. Fabiano, Andrew J. Kurdila, Thomas Strganac
    Pages 193-201
  9. Leonid E. Faybusovich
    Pages 203-210
  10. Max D. Gunzburger, Janet S. Peterson
    Pages 211-218
  11. C. Martin, L. Allen, M. Stamp, M. Jones, R. Carpio
    Pages 265-283
  12. Robert E. Miller
    Pages 301-311
  13. Joachim Rosenthal, Xiaochang Wang
    Pages 333-340
  14. F. Stenger, B. Barkey, R. Vakili
    Pages 341-354
  15. Xiaochang Wang, Joachim Rosenthal
    Pages 391-398
  16. Back Matter
    Pages 409-410

About this book


The third Conference on Computation and Control was held at Mon­ tana State University in Bozeman, Montana from August 5-11, 1992 and this proceedings represents the evolution that the conference has taken since its 1988 and 1990 predecessors. The first conference and proceedings (Volume 1 in PSCT) nurtured a dialogue between researchers in control theory and the area of numerical computation. This cross-fertilization was continued with the 1990 conference and proceedings (Volume 11 in PSCT) while forecasting the theme for this conference. The present volume contains a collection of papers addressing issues ranging from noise abatement via smart material technology, robotic vi­ sion, and parameter identification to feedback design challenges in fluid control and other areas of topical interest. The area of feedback design in fluid control spawns computational challenges in the form of Burgers' equation which is addressed both with standard numerical methods as well as new computational procedures. Applications which involve inverse prob­ lems include material parameter estimation and sampling in observability. Whether motivated by the plant or arising as the distributed system in the design of a feedback compensator for problems in nonlinear control, the theme of this conference placed an emphasis on the use of partial dif­ ferential equations in control theory. Through challenges initiated via the control problem or the subsequent computational problem, the joint efforts of experts from the respective disciplines enhance the development of both.


control evolution numerical methods robot technology

Editors and affiliations

  • Kenneth Bowers
    • 1
  • John Lund
    • 1
  1. 1.Department of MathematicsMontana State UniversityBozemanUSA

Bibliographic information