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Bounding Approaches to System Identification de M. Milanese

Bounding Approaches to System Identification

Editat de M. Milanese, J. Norton, H. Piet-Lahanier, É. Walter
en Limba Engleză Hardback – 31 mai 1996
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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Specificații

ISBN-13: 9780306450211
ISBN-10: 0306450216
Pagini: 567
Ilustrații: XIX, 567 p.
Dimensiuni: 155 x 235 x 37 mm
Greutate: 1.03 kg
Ediția:1996
Editura: Springer Us
Colecția Springer
Locul publicării:New York, NY, United States

Public țintă

Research

Cuprins

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.

Recenzii

`A comprehensive and modern overview.'
Mathematical Reviews