Posted by **alt_f4** at Dec. 22, 2016

English | Jan. 1, 1987 | ISBN: 0898714559 | 163 Pages | PDF | 15 MB

Questions about stability arise in almost every control problem. There are many physical problems in which exponential stability is too strong and for which the concept of strong stability is appropriate.

Posted by **bookwarrior** at Oct. 6, 2015

2015 | 412 Pages | ISBN: 3319201395 | PDF | 4 MB

Posted by **interes** at Sept. 13, 2015

English | 2014-09-03 | ISBN: 3662440490 | PDF | 394 pages | 9 MB

Posted by **roxul** at Aug. 25, 2015

2015 | ISBN-10: 3319201395 | 398 pages | PDF | 4 MB

Posted by **Underaglassmoon** at Aug. 13, 2015

Springer | Mathematics | Sept. 14 2015 | ISBN-10: 3319201395 | 398 pages | pdf | 3.88 mb

by Norbert Ortner (Author), Peter Wagner (Author)

Posted by **ChrisRedfield** at June 9, 2015

Published: 2014-09-03 | ISBN: 3662440490 | PDF | 394 pages | 8.98 MB

Posted by **ChrisRedfield** at Oct. 28, 2014

Published: 2010-06-13 | ISBN: 364213811X | PDF | 325 pages | 4 MB

Posted by **exLib** at Jan. 29, 2014

World Scientific Publishing | 2010 | ISBN: 981429165X 9789814291651 | 260 pages | PDF | 14 MB

This book provides a concise presentation of many of the fundamental strategies for calculating approximations to the oscillatory solutions of truly nonlinear (TNL) oscillator equations. The volume gives a general overview of the author's work on harmonic balance, iteration and combined linearization-averaging methods.

Posted by **lout** at June 28, 2010

Publisher: Spr inger 2010 | 600 Pages | ISBN: 9048192579 | PDF | 25 MB

Posted by **ferro35** at Dec. 18, 2008

Springer Science+Business Media, LLC | Oct 2008 | 644 pages | PDF | ISBN: 9780387765426 | 11,3 MB

This new textbook is for contemporary signal detection and parameter estimation courses offered at the advanced undergraduate and graduate levels. It presents a unified treatment of detection problems arising in radar/sonar signal processing and modern digital communication systems. The material is comprehensive in scope and addresses signal processing and communication applications with an emphasis on fundamental principles. In addition to standard topics normally covered in such a course, the author incorporates recent advances, such as the asymptotic performance of detectors, sequential detection, generalized likelihood ratio tests (GLRTs), robust detection, the detection of Gaussian signals in noise, the expectation maximization algorithm, and the detection of Markov chain signals. Numerous examples and detailed derivations along with homework problems following each chapter are included.