Stochastic systems for engineers : modelling, estimation, and control

Bibliographic Information

Stochastic systems for engineers : modelling, estimation, and control

John A. Borrie

Prentice Hall, 1992

  • : pbk

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Note

Includes bibliographical references and index

Description and Table of Contents

Description

This is a self-contained introduction to stochastic systems and an ordered presentation of techniques for computer modelling, filtering and control of these systems. The subject is developed with definition, formulae and explanations but without detailed mathematical proofs. It is designed for advanced undergraduate and postgraduate courses in control engineering, mathematical modelling, filters and dynamics who are working towards degrees in engineering, information technology, aeronautics and applied mathematics.

Table of Contents

  • Probability and statistics
  • continuous time stochastic processes and dynamical systems
  • discrete time stochastic processes and dynamical systems
  • computer aided design methods
  • Kalman filters
  • control of stochastic systems. Appendices.

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