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The Principle of Optimality in Measurement Feedback Control for Linear Systems

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Directions in Mathematical Systems Theory and Optimization

Part of the book series: Lecture Notes in Control and Information Sciences ((LNCIS,volume 286))

Abstract

This paper discusses a Dynamic Programming approach to the solution of the measurement feedback target control problem in finite time for a linear system with unknown but bounded disturbances in the system inputs and measurement channel. The control parameters and unknown items are subjected to hard (instantaneous) bounds. The paper also emphasizes the feasibility of the techniques of duality theory of nonlinear analysis for calculating the solutions.

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Author information

Authors and Affiliations

  1. Faculty of Computational Mathematics and Cybernetics, Moscow State (Lomonosov) University, 119992, Moscow, Russia

    Alexander B. Kurzhanski

Authors
  1. Alexander B. Kurzhanski
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Editor information

Editors and Affiliations

  1. Department of Automatic Control, Lund Institute of Technology, Box 118, SE-221 00, Lund, Sweden

    Anders Rantzer

  2. School of Engineering and Applied Science, Washington University, One Brookings Drive, St. Louis, MO, 63130, USA

    Christopher I. Byrnes

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Kurzhanski, A.B. (2003). The Principle of Optimality in Measurement Feedback Control for Linear Systems. In: Rantzer, A., Byrnes, C.I. (eds) Directions in Mathematical Systems Theory and Optimization. Lecture Notes in Control and Information Sciences, vol 286. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36106-5_14

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  • DOI: https://doi.org/10.1007/3-540-36106-5_14

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-00065-5

  • Online ISBN: 978-3-540-36106-0

  • eBook Packages: Springer Book Archive

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