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Nonlinear filters : = theory and applications /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Nonlinear filters :/ Peyman Setoodeh, Saeid Habibi, Simon Haykin.
其他題名:	theory and applications /
作者:	Setoodeh, Peyman,
其他作者:	Haykin, Simon S.,
出版者:	Hoboken, NJ :Wiley, : c2022.,
面頁冊數:	xxii, 273 p. ;24 cm.;
標題:	Signal processing - Digital techniques. -
ISBN:	9781118835814 (hbk.) :

Nonlinear filters : = theory and applications /
Setoodeh, Peyman,1974-

Nonlinear filters :theory and applications /Peyman Setoodeh, Saeid Habibi, Simon Haykin. - Hoboken, NJ :Wiley,c2022. - xxii, 273 p. ;24 cm.

Includes bibliographical references and index.

"This book fills the gap between the literature on nonlinear filters and nonlinear observers by presenting a new state estimation strategy, the smooth variable structure filter (SVSF). The book is a valuable resource to researchers outside of the control society, where literature on nonlinear observers is less well-known. SVSF is a predictor-corrector estimator that is formulated based on a stability theorem, to confine the estimated states within a neighborhood of their true values. It has the potential to improve performance in the presence of severe and changing modeling uncertainties and noise. An important advantage of the SVSF is the availability of a set of secondary performance indicators that pertain to each estimate. This allows for dynamic refinement of the filter model. The combination of SVSF's robust stability and its secondary indicators of performance make it a powerful estimation tool, capable of compensating for uncertainties that are abruptly introduced in the system"--

ISBN: 9781118835814 (hbk.) :NT4625

LCCN: 2022000943Subjects--Topical Terms:

556357
Signal processing
--Digital techniques.

LC Class. No.: QA402.35 / .S464 2022

Dewey Class. No.: 629.8/36

Nonlinear filters : = theory and applications /
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245 1 0 $a Nonlinear filters : $b theory and applications / $c Peyman Setoodeh, Saeid Habibi, Simon Haykin.
260 # $a Hoboken, NJ : $b Wiley, $c c2022.
300 $a xxii, 273 p. ; $c 24 cm.
504 $a Includes bibliographical references and index.
520 # $a "This book fills the gap between the literature on nonlinear filters and nonlinear observers by presenting a new state estimation strategy, the smooth variable structure filter (SVSF). The book is a valuable resource to researchers outside of the control society, where literature on nonlinear observers is less well-known. SVSF is a predictor-corrector estimator that is formulated based on a stability theorem, to confine the estimated states within a neighborhood of their true values. It has the potential to improve performance in the presence of severe and changing modeling uncertainties and noise. An important advantage of the SVSF is the availability of a set of secondary performance indicators that pertain to each estimate. This allows for dynamic refinement of the filter model. The combination of SVSF's robust stability and its secondary indicators of performance make it a powerful estimation tool, capable of compensating for uncertainties that are abruptly introduced in the system"-- $c Provided by publisher.
650 # 0 $a Signal processing $x Digital techniques. $3 556357
650 # 0 $a Digital filters (Mathematics) $3 596752
650 # 0 $a Nonlinear control theory. $3 528253
700 1 # $a Haykin, Simon S., $d 1931- $3 715987
700 1 # $a Habibi, Saeid. $3 1423936