Discrete-Time Markov Jump Linear Systems

Discrete-Time Markov Jump Linear Systems
Author: O.L.V. Costa
Publisher: Springer Science & Business Media
Total Pages: 287
Release: 2006-03-30
Genre: Mathematics
ISBN: 1846280826


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This will be the most up-to-date book in the area (the closest competition was published in 1990) This book takes a new slant and is in discrete rather than continuous time


Discrete-Time Markov Jump Linear Systems
Language: en
Pages: 287
Authors: O.L.V. Costa
Categories: Mathematics
Type: BOOK - Published: 2006-03-30 - Publisher: Springer Science & Business Media

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This will be the most up-to-date book in the area (the closest competition was published in 1990) This book takes a new slant and is in discrete rather than con
Discrete-Time Markov Jump Linear Systems
Language: en
Pages: 304
Authors: O.L.V. Costa
Categories: Computers
Type: BOOK - Published: 2005-02-02 - Publisher: Springer Science & Business Media

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This will be the most up-to-date book in the area (the closest competition was published in 1990) This book takes a new slant and is in discrete rather than con
Discrete-Time Markov Jump Linear Systems
Language: en
Pages: 0
Authors: O.L.V. Costa
Categories: Mathematics
Type: BOOK - Published: 2010-10-21 - Publisher: Springer

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This will be the most up-to-date book in the area (the closest competition was published in 1990) This book takes a new slant and is in discrete rather than con
Continuous-Time Markov Jump Linear Systems
Language: en
Pages: 295
Authors: Oswaldo Luiz do Valle Costa
Categories: Mathematics
Type: BOOK - Published: 2012-12-18 - Publisher: Springer Science & Business Media

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It has been widely recognized nowadays the importance of introducing mathematical models that take into account possible sudden changes in the dynamical behavio
Positive Markov Jump Linear Systems
Language: en
Pages: 166
Authors: Paolo Bolzern
Categories: Technology & Engineering
Type: BOOK - Published: 2015-12-04 - Publisher:

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Positive Markov Jump Linear Systems are piecewise positive linear systems affected by a stochastic signal generated by a Markov chain. Positive systems naturall