Posted by **hill0** at June 11, 2017

English | 9 Apr. 2017 | ISBN: 3319423770 | 316 Pages | PDF | 4.64 MB

This monograph bridges the gap between the nonlinear predictor as a concept and as a practical tool, presenting a complete theory of the application of predictor feedback to time-invariant, uncertain systems with constant input delays and/or measurement delays.

Posted by **step778** at May 18, 2017

2014 | pages: 106 | ISBN: 3319110675 | PDF | 4,2 mb

Posted by **naag** at April 28, 2017

Spr | 2011 | ISBN: 364222833X 9783642228339 | PDF | 728 pages | 6 MB

Posted by **naag** at April 28, 2017

WSP | 2009 | ISBN: 7040249448 9787040249446 | 401 pages | PDF | 12 MB

Posted by **hill0** at April 20, 2017

English | 18 May 2017 | ISBN: 3319552384 | 381 Pages | PDF | 9.45 MB

This book reveals the French scientific contribution to the mathematical theory of nonlinear oscillations and its development. The work offers a critical examination of sources with a focus on the twentieth century, especially the period between the wars.

Posted by **exLib** at April 15, 2017

WSP | 2009 | ISBN: 7040249448 9787040249446 | 401 pages | PDF | 12 MB

The volume covers a range of topics from mathematical theory and numerical approximation of both incompressible and compressible fluid flows, kinetic theory and conservation laws, to statistical theories for fluid systems.

Posted by **exLib** at April 14, 2017

Spr | 2011 | ISBN: 364222833X 9783642228339 | PDF | 728 pages | 6 MB

This volume presentes all aspects of nonlinear mathematics for uncertainty and its applications.

Posted by **Bayron** at April 11, 2017

English | 2016 | ISBN: 0310345138, 0310344913 | 256 pages | EPUB | 0,7 MB

Posted by **arundhati** at April 9, 2017

English | ISBN: 3319420305 | 2016 | 413 pages | PDF | 5 MB

Posted by **AvaxGenius** at March 8, 2017

English | PDF | 2017 | 309 Pages | ISBN : 3319423770 | 4.64 MB

This monograph bridges the gap between the nonlinear predictor as a concept and as a practical tool, presenting a complete theory of the application of predictor feedback to time-invariant, uncertain systems with constant input delays and/or measurement delays. It supplies several methods for generating the necessary real-time solutions to the systemsâ€™ nonlinear differential equations, which the authors refer to as approximate predictors.