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  • Conference proceedings
  • © 1999

Control of Distributed Parameter and Stochastic Systems

Proceedings of the IFIP WG 7.2 International Conference, June 19–22, 1998 Hangzhou, China

Editors:

Part of the book series: IFIP Advances in Information and Communication Technology (IFIPAICT, volume 13)

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Table of contents (40 papers)

  1. Front Matter

    Pages i-xiii
  2. Distributed Parameter Systems

    1. Front Matter

      Pages 1-1
    2. A Linear Parabolic Boundary Control Problem with Mixed Control-State Constraint

      • Maïtine Bergounioux, Fredi Tröltzsch
      Pages 13-20
    3. Stability and Approximations of an Acoustic-Structure Model

      • Fariba Fahroo, Chunming Wang
      Pages 39-46
    4. A Practical Estimation Technique for Spatial Distribution of Groundwater Contaminant

      • Sungkwon Kang, Thomas B. Stauffer, Kirk Hatfield
      Pages 55-62
    5. Identification Problem for a Wave Equation via Optimal Control

      • Suzanne Lenhart, Min Liang, Vladimir Protopopescu
      Pages 79-84
    6. Boundary Stabilization of a Hybrid System

      • Kangsheng Liu, Zhuangyi Liu
      Pages 95-101
    7. New Meaning of Exact Controllability of Linear Systems in Hilbert Spaces

      • Kangsheng Liu, David L. Russell
      Pages 103-110
    8. Minimax Design of Constrained Parabolic Systems

      • Boris S. Mordukhovich
      Pages 111-118

About this book

In the mathematical treatment of many problems which arise in physics, economics, engineering, management, etc., the researcher frequently faces two major difficulties: infinite dimensionality and randomness of the evolution process. Infinite dimensionality occurs when the evolution in time of a process is accompanied by a space-like dependence; for example, spatial distribution of the temperature for a heat-conductor, spatial dependence of the time-varying displacement of a membrane subject to external forces, etc. Randomness is intrinsic to the mathematical formulation of many phenomena, such as fluctuation in the stock market, or noise in communication networks. Control theory of distributed parameter systems and stochastic systems focuses on physical phenomena which are governed by partial differential equations, delay-differential equations, integral differential equations, etc., and stochastic differential equations of various types. This has been a fertile field of research with over 40 years of history, which continues to be very active under the thrust of new emerging applications.
Among the subjects covered are:
  • Control of distributed parameter systems;
  • Stochastic control;
  • Applications in finance/insurance/manufacturing;
  • Adapted control;
  • Numerical approximation
.
It is essential reading for applied mathematicians, control theorists, economic/financial analysts and engineers.

Editors and Affiliations

  • Department of Applied Mathematics, Zhejiang University, Hangzhou, China

    Shuping Chen

  • Department of Mathematics, Fudan University, Shanghai, China

    Xunjing Li, Jiongmin Yong

  • Department of Systems Engineering and Engineering Management, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong, China

    Xun Yu Zhou

Bibliographic Information

Buy it now

Buying options

eBook USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access