Control and Estimation of Distributed Parameter Systems: Nonlinear Phenomena International Conference in Vorau (Austria), July 18-24, 1993 (International Series of Numerical Mathematics)

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Published by Birkhauser .

Written in English

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Subjects:

  • Applied mathematics,
  • Differential equations,
  • Mathematics,
  • General,
  • Mathematics / General

Edition Notes

Book details

ContributionsWolfgang Desch (Editor), Franz Kappel (Editor), Karl Kunisch (Editor)
The Physical Object
FormatHardcover
Number of Pages402
ID Numbers
Open LibraryOL9090216M
ISBN 103764350989
ISBN 109783764350987

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() Infinite-Dimensional Volterra–Stieltjes Evolution Equations and Related Optimal Control :// Most techniques for the control of nonlinear distributed processes focus on distributed parameter systems and involve mathematically complex model reduction and controller synthesis methodologies This volume assumes a basic knowledge about distributed parameter systems, system modeling and identifi cation.

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Fattorini H.O. () Invariance of the Hamiltonian in Control Problems for Semilinear Parabolic Distributed Parameter Systems. In: Desch W., Kappel F., Kunisch K. (eds) Control and Estimation of Distributed Parameter Systems: Nonlinear Phenomena.

ISNM International Series of Numerical Mathematics, vol   Chapter Points • Through model reduction, the distributed parameter system is converted to a finite-dimensional slow subsystem of ordinary differential equations that accurately describes its dominant dynamics.

An adaptive optimal control method based on neurodynamic programming is developed for distributed parameter systems with full system :// springer, The purpose of this volume is to provide a brief review of the previous work on model reduction and identifi cation of distributed parameter systems (DPS), and develop new spatio-temporal models and their relevant identifi cation this book, a systematic overview and classifi cation on the modeling of DPS is presented fi rst, which includes model reduction, parameter  › Home › Catalog.

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Robust adaptive estimation schemes for parabolic distributed parameter systems. Proceedings of the 36th IEEE Conference on Decision and Control, Adaptive distributed parameter systems identification with enforceable identifiability The past control approaches on distributed-parameter systems have been either open loop or focused on processes described by specific types of equations, such as linear, parabolic, hyperbolic, and   Approximate state recovering of a distributed parameter of of the Lemma is quite easy and will true.o2 value true.o2 value Approximation of the Parameter Identification Problem CONCLUSIONS In this paper we have developed a general framework for the estimation of unknown para meters in distributed parameter systems.

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