๐”– Scriptorium
โœฆ   LIBER   โœฆ

๐Ÿ“

Nonlinear and Adaptive Control Design (Adaptive and Learning Systems for Signal Processing, Communications and Control Series)

โœ Scribed by Miroslav Krstic, Ioannis Kanellakopoulos, Petar V. Kokotovic


Publisher
Wiley-Interscience
Year
1995
Tongue
English
Leaves
564
Edition
1
Category
Library

โฌ‡  Acquire This Volume

No coin nor oath required. For personal study only.

โœฆ Synopsis


Using a pedagogical style along with detailed proofs and illustrative examples, this book opens a view to the largely unexplored area of nonlinear systems with uncertainties. The focus is on adaptive nonlinear control results introduced with the new recursive design methodology--adaptive backstepping. Describes basic tools for nonadaptive backstepping design with state and output feedbacks.


๐Ÿ“œ SIMILAR VOLUMES


Nonlinear and Adaptive Control Design (A
โœ Miroslav Krstic, Ioannis Kanellakopoulos, Petar V. Kokotovic ๐Ÿ“‚ Library ๐Ÿ“… 1995 ๐ŸŒ English

Using a pedagogical style along with detailed proofs and illustrative examples, this book opens a view to the largely unexplored area of nonlinear systems with uncertainties. The focus is on adaptive nonlinear control results introduced with the new recursive design methodology--adaptive backsteppin

Adaptive Signal Processing: Next Generat
โœ Tulay Adali, Simon Haykin ๐Ÿ“‚ Library ๐Ÿ“… 2010 ๐ŸŒ English

Leading experts present the latest research results in adaptive signal processingRecent developments in signal processing have made it clear that significant performance gains can be achieved beyond those achievable using standard adaptive filtering approaches. Adaptive Signal Processing presents th

Correlative Learning: A Basis for Brain
โœ Zhe Chen, Simon Haykin, Jos J. Eggermont, Suzanna Becker ๐Ÿ“‚ Library ๐Ÿ“… 2007 ๐Ÿ› Wiley-Interscience ๐ŸŒ English

Correlative Learning: A Basis for Brain and Adaptive Systems provides a bridge between three disciplines: computational neuroscience, neural networks, and signal processing. First, the authors lay down the preliminary neuroscience background for engineers. The book also presents an overview of the r

Correlative Learning: A Basis for Brain
โœ Zhe Chen, Simon Haykin, Jos J. Eggermont, Suzanna Becker ๐Ÿ“‚ Library ๐Ÿ“… 2007 ๐Ÿ› Wiley-Interscience ๐ŸŒ English

Correlative Learning: A Basis for Brain and Adaptive Systems provides a bridge between three disciplines: computational neuroscience, neural networks, and signal processing. First, the authors lay down the preliminary neuroscience background for engineers. The book also presents an overview of the r

Kernel Adaptive Filtering: A Comprehensi
โœ Weifeng Liu, Jose C. Principe, Simon Haykin ๐Ÿ“‚ Library ๐Ÿ“… 2010 ๐Ÿ› Wiley ๐ŸŒ English

This is a first-of-a-kind book on this emerging topic. Kernel adaptive filtering will reshape the field of adaptive nonlinear signal processing. The nice thing about this book is it follows closely the classical adaptive filtering theory (AFT). Therefore, you will find no difficulty to follow the m

Complex Valued Nonlinear Adaptive Filter
โœ Danilo Mandic, Vanessa (Su Lee) Goh ๐Ÿ“‚ Library ๐Ÿ“… 2009 ๐ŸŒ English

This book was written in response to the growing demand for a text that provides a unified treatment of linear and nonlinear complex valued adaptive filters, and methods for the processing of general complex signals (circular and noncircular). It brings together adaptive filtering algorithms for fee