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Directions in Mathematical Systems Theory and Optimization

  • Conference proceedings
  • © 2003

Overview

Editors:
  1. Anders Rantzer

    1. Department of Automatic Control, Lund Institute of Technology, Lund, Sweden

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    You can also search for this editor in PubMed   Google Scholar

  2. Christopher I. Byrnes

    1. School of Engineering and Applied Science, Washington University, St. Louis, USA

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    You can also search for this editor in PubMed   Google Scholar

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

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Table of contents (26 papers)

  1. Front Matter

    Pages I-XIII
    Download chapter PDF

  2. Systems with Lebesgue Sampling

    • Karl Johan Ã…ström, Bo Bernhardsson
    Pages 1-13

  3. Acoustic Attenuation Employing Variable Wall Admittance

    • H. T. Banks, K. M. Furati, K. Ito, N. S. Luke, C. J. Smith
    Pages 15-26

  4. Some Remarks on Linear Filtering Theory for Infinite Dimensional Systems

    • Alain Bensoussan
    Pages 27-39

  5. A Note on Stochastic Dissipativeness

    • Vivek S. Borkar, Sanjoy K. Mitter
    Pages 41-49

  6. Internal Model Based Design for the Suppression of Harmonic Disturbances

    • Christopher I. Byrnes, David S. Gilliam, Alberto Isidori, Yutaka Ikeda, Lorenzo Marconi
    Pages 51-70

  7. Conditional Orthogonality and Conditional Stochastic Realization

    • Peter E. Caines, R. Deardon, H. P. Wynn
    Pages 71-84

  8. Geometry of Oblique Splitting Subspaces, Minimality and Hankel Operators

    • Alessandro Chiuso, Giorgio Picci
    Pages 85-126

  9. Linear Fractional Transformations

    • Harry Dym
    Pages 127-133

  10. Structured Covariances and Related Approximation Questions

    • Tryphon T. Georgiou
    Pages 135-140

  11. Risk Sensitive Identification of ARMA Processes

    • László Gerencsér, György Michaletzky
    Pages 141-157

  12. Input Tracking and Output Fusion for Linear Systems

    • Xiaoming Hu, Ulf Jönsson, Clyde F. Martin
    Pages 159-172

  13. The Convergence of the Extended Kalman Filter

    • Arthur J. Krener
    Pages 173-182

  14. On the Separation of Two Degree of Freedom Controller and Its Application to H ∞ Control for Systems with Time Delay

    • Yohei Kuroiwa, Hidenori Kimura
    Pages 183-192

  15. The Principle of Optimality in Measurement Feedback Control for Linear Systems

    • Alexander B. Kurzhanski
    Pages 193-202

  16. Linear System Identification as Curve Fitting

    • Lennart Ljung
    Pages 203-215

  17. Optimal Model Order Reduction for Maximal Real Part Norms

    • A. Megretski
    Pages 217-226

  18. Quantum Schrödinger Bridges

    • Michele Pavon
    Pages 227-238

  19. Segmentation of Diffusion Tensor Imagery

    • Eric Pichon, Allen Tannenbaum, Guillermo Sapiro
    Pages 239-247

  20. Robust Linear Algebra and Robust Aperiodicity

    • Boris T. Polyak
    Pages 249-260
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Keywords

About this book

For more than three decades, Anders Lindquist has delivered fundamental cont- butions to the ?elds of systems, signals and control. Throughout this period, four themes can perhaps characterize his interests: Modeling, estimation and ?ltering, feedback and robust control. His contributions to modeling include seminal work on the role of splitting subspaces in stochastic realization theory, on the partial realization problem for both deterministic and stochastic systems, on the solution of the rational covariance extension problem and on system identi?cation. His contributions to ?ltering and estimation include the development of fast ?ltering algorithms, leading to a nonlinear dynamical system which computes spectral factors in its steady state, and which provide an alternate, linear in the dimension of the state space, to computing the Kalman gain from a matrix Riccati equation. His further research on the phase portrait of this dynamical system gave a better understanding of when the Kalman ?lter will converge, answering an open question raised by Kalman. While still a student he established the separation principle for stochastic function differential equations, including some fundamental work on optimal control for stochastic systems with time lags. He continued his interest in feedback control by deriving optimal and robust control feedback laws for suppressing the effects of harmonic disturbances. Moreover, his recent work on a complete parameterization of all rational solutions to the Nevanlinna-Pick problem is providing a new approach to robust control design.

Editors and Affiliations

  • Department of Automatic Control, Lund Institute of Technology, Lund, Sweden

    Anders Rantzer

  • School of Engineering and Applied Science, Washington University, St. Louis, USA

    Christopher I. Byrnes

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