Adaptive Control, Filtering, and Signal Processing (The IMA Volumes in Mathematics and its Applications, 74)

ISBN 10: 0387979883 / ISBN 13: 9780387979885

Editore: Springer, 1995

Riguardo questo articolo

Ancien livre de bibliothèque. Edition 1995. Tome 74. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Former library book. Edition 1995. Volume 74. Ammareal gives back up to 15% of this item's net price to charity organizations. Codice articolo F-432-106

Dati bibliografici

Titolo: Adaptive Control, Filtering, and Signal ...

Casa editrice: Springer

Data di pubblicazione: 1995

Legatura: Hardcover

Condizione: Très bon

Descrizione articolo

Riassunto:

The area of adaptive systems, which encompasses recursive identification, adaptive control, filtering, and signal processing, has been one of the most active areas of the past decade. Since adaptive controllers are fundamentally nonlinear controllers which are applied to nominally linear, possibly stochastic and time-varying systems, their theoretical analysis is usually very difficult. Nevertheless, over the past decade much fundamental progress has been made on some key questions concerning their stability, convergence, performance, and robustness. Moreover, adaptive controllers have been successfully employed in numerous practical applications, and have even entered the marketplace.

Contenuti:

Oscillations in systems with relay feedback.- Compatibility of stochastic and worst case system identification: Least squares, maximum likelihood and general cases.- Some results for the adaptive boundary control of stochastic linear distributed parameter systems.- LMS is H? optimal.- Adaptive control of nonlinear systems: A tutorial.- Design guidelines for adaptive control with application to systems with structural flexibility.- Estimation-based schemes for adaptive nonlinear state-feedback control.- An adaptive controller inspired by recent results on learning from experts.- Stochastic approximation with averaging and feedback: faster convergence.- Building models from frequency domain data.- Supervisory control.- Potential self-tuning analysis of stochastic adaptive control.- Stochastic adaptive control.- Optimality of the adaptive controllers.- Uncertain real parameters with bounded rate of variation.- Averaging methods for the analysis of adaptive algorithms.- A multilinear parametrization approach for identification of partially known systems.- Adaptive filtering with averaging.