Bounding Approaches to System Identification

Overview

In response to the growing interest in bounding error approaches, the editors of this volume offer the first collection of papers to describe advances in techniques and applications of bounding of the parameters, or state variables, of uncertain dynamical systems. Contributors explore the application of the bounding approach as an alternative to the probabilistic analysis of such systems, relating its importance to robust control-system design.

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Overview

In response to the growing interest in bounding error approaches, the editors of this volume offer the first collection of papers to describe advances in techniques and applications of bounding of the parameters, or state variables, of uncertain dynamical systems. Contributors explore the application of the bounding approach as an alternative to the probabilistic analysis of such systems, relating its importance to robust control-system design.

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Editorial Reviews

From the Publisher
'A comprehensive and modern overview.'
Mathematical Reviews
Booknews
The appeal of bounding lies in its directness, simplicity, and need for few assumptions compared with its probabilistic alternatives; its ability to make use of prior knowledge expressed as bounds; and its status as the natural basis for worst case design. Thirty contributed chapters consider various aspects of both linear and nonlinear models as well as various facets of bounding in robust/adaptive control, and applications of parameter bounding in areas as diverse as robotics, image compression, speech processing, and high-accuracy calibration. Annotation c. Book News, Inc., Portland, OR (booknews.com)
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Product Details

  • ISBN-13: 9781475795479
  • Publisher: Springer US
  • Publication date: 12/31/2013
  • Edition description: Softcover reprint of the original 1st ed. 1996
  • Pages: 567
  • Product dimensions: 6.00 (w) x 9.00 (h) x 1.19 (d)

Table of Contents

Overview of the Volume; J. Norton. Optimal Estimation Theory for Dynamic System with Set Membership Uncertainty: An Overview; M. Milanese, A. Vicino. Solving Linear Problems in the Presence of Bounded Data Perturbations; B.Z. Kacewicz. A Review and a Comparison of Ellipsoidal Bounding Algorithms; G. Favier, L.V.R. Arruda. On the Deadzone in System Identification; K. Forsman, L. Ljung. Recursive Estimation Algorithms for Linear Models with Set Membership Error; G. Belforte, T.T. Tay. Transfer Function Parameter Interval Estimation Using Recursive Least Squares in the Time and Frequency Domains; P.O. Gutman. Volume-optimal Inner and Outer Ellipsoids; L. Pronzato, E. Walter. Linear Interpolation and Estimation Using Interval Analysis; S.M. Markov, E.D. Popova. Adaptive Approximation of Uncertainty Sets for Linear Regression Models; A. Vicino, G. Zappa. Worstcase l1 Identification; M. Milanese. Recursive Robust Minimax Estimation; E. Walter, H. Piet-Lahanier. Robustness to Outliers of Bounded-error Estimators, Consequences on Experiment Design; L. Pronzato, E. Walter. Ellipsoidal State Estimation for Uncertain Dynamical Systems; T.F. Filipova, et al. Set-valued Estimation of State and Parameter Vectors within Adaptive Control-Systems; V.M. Kuntsevich. Limited-complexity Polyhedric Tracking; H. Piet-Lahanier, E. Walter. Parameterbounding Algorithms for Linear Errors in Variables Models; S.M. Veres, J.P. Norton. Errors-invariables Models in Parameter Bounding; V. Cerone. Identification of Linear Objects with Bounded Disturbances in Both Input and Output Channels; Yu.A. Merkuryev. Identification of Nonlinear Statespace Models by Deterministic Search; J.P. Norton, S.M. Veres. Robust Identification and Prediction for Nonlinear State-Space Models with Bounded Output Error; K.J. Keesman. Estimation Theory for Nonlinear Models and Set Membership Uncertainty; M. Milanese, A. Vicino. Guaranteed Nonlinear Set Estimation via Interval Analysis; L. Jaulin, E. Walter. On Adaptive Control of Systems Subjected to Bounded Disturbances; L.S. Zhitecki. Predictive Selftuning Control by Parameter Bounding and Worstcase Design; S.M. Veres, J.P. Norton. Estimation of a Mobile Robot Localization: Geometric Approaches; D. Meizel, et al. Improved Image Compression Using Bounded Error Parameter Estimation Concepts; A.K. Rao. Application of OBE Algorithms to Speech Analysis, Recognition and Coding; J.R. Deller Jr., et al. 2 additional articles. Index.

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