Bounding Approaches to System Identification
Published on 31. May 1996
Book
Hardback
XIX, 567 pages
978-0-306-45021-1 (ISBN)
Description
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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` A comprehensive and modern overview. 'Mathematical Reviews
More details
Edition
1996 ed.
Language
English
Place of publication
New York
United States
Publishing group
Springer Science+Business Media
Target group
College/higher education
Research
Illustrations
XIX, 567 p.
Dimensions
Height: 235 mm
Width: 157 mm
Thickness: 37 mm
Weight
999 gr
ISBN-13
978-0-306-45021-1 (9780306450211)
DOI
10.1007/978-1-4757-9545-5
Schweitzer Classification
Other editions
Additional editions
M. Milanese | J. Norton | H. Piet-Lahanier
Bounding Approaches to System Identification
Book
05/2013
Springer
€213.99
Shipment within 15-20 days
Content
1. Overview of the Volume.- 2. Optimal Estimation Theory for Dynamic Systems with Set Membership Uncertainty: An Overview.- 3. Solving Linear Problems in the Presence of Bounded Data Perturbations.- 4. Review and Comparison of Ellipsoidal Bounding Algorithms.- 5. The Dead Zone in System Identification.- 6. Recursive Estimation Algorithms for Linear Models with Set Membership Error.- 7. Transfer Function Parameter Interval Estimation Using Recursive Least Squares in the Time and Frequency Domains.- 8. Volume-Optimal Inner and Outer Ellipsoids.- 9. Linear Interpolation and Estimation Using Interval Analysis.- 10. Adaptive Approximation of Uncertainty Sets for Linear Regression Models.- 11. Worst-Case l1 Identification.- 12. Recursive Robust Minimax Estimation.- 13. Robustness to Outliers of Bounded-Error Estimators and Consequences on Experiment Design.- 14. Ellipsoidal State Estimation for Uncertain Dynamical Systems.- 15. Set-Valued Estimation of State and Parameter Vectors within Adaptive Control Systems.- 16. Limited-Complexity Polyhedric Tracking.- 17. Parameter-Bounding Algorithms for Linear Errors-in-Variables Models.- 18. Errors-in-Variables Models in Parameter Bounding.- 19. Identification of Linear Objects with Bounded Disturbances in Both Input and Output Channels.- 20. Identification of Nonlinear State-Space Models by Deterministic Search.- 21. Robust Identification and Prediction for Nonlinear State-Space Models with Bounded Output Error.- 22. Estimation Theory for Nonlinear Models and Set Membership Uncertainty.- 23. Guaranteed Nonlinear Set Estimation via Interval Analysis.- 24. Adaptive Control of Systems Subjected to Bounded Disturbances.- 25. Predictive Self-Tuning Control by Parameter Bounding and Worst-Case Design.- 26. System Identification forH?-Robust Control Design.- 27. Estimation of Mobile Robot Localization: Geometric Approaches.- 28. Improved Image Compression Using Bounded-Error Parameter Estimation Concepts.- 29. Applications of OBE Algorithms to Speech Processing.- 30. Robust Performances Control Design for a High Accuracy Calibration Device.