Discrete-Time Markov Jump Linear Systems Discrete-Time Markov Jump Linear Systems
Probability and Its Applications

Discrete-Time Markov Jump Linear Systems

O.L.V. Costa and Others
    • $129.99
    • $129.99

Publisher Description

Safety critical and high-integrity systems, such as industrial plants and economic systems, can be subject to abrupt changes - for instance, due to component or interconnection failure, sudden environment changes, etc.


Combining probability and operator theory, Discrete-Time Markov Jump Linear Systems provides a unified and rigorous treatment of recent results for the control theory of discrete jump linear systems, which are used in these areas of application.


The book is designed for experts in linear systems with Markov jump parameters, but is also of interest for specialists in stochastic control since it presents stochastic control problems for which an explicit solution is possible - making the book suitable for course use.


Oswaldo Luiz do Valle Costa is Professor in the Department of Telecommunications and Control Engineering at the University of São Paulo, Marcelo Dutra Fragoso is Professor in the Department of Systems and Control at the National Laboratory for Scientific Computing - LNCC/MCT, Rio de Janeiro, and Ricardo Paulino Marques works in the Department of Telecommunications and Control Engineering at the University of São Paulo.

GENRE
Science & Nature
RELEASED
2006
March 30
LANGUAGE
EN
English
LENGTH
296
Pages
PUBLISHER
Springer London
SELLER
Springer Nature B.V.
SIZE
7.6
MB
Differential Games and Control Theory Iii Differential Games and Control Theory Iii
2020
Dynamic Control and Optimization Dynamic Control and Optimization
2022
From Stochastic Calculus to Mathematical Finance From Stochastic Calculus to Mathematical Finance
2007
An Introduction to Optimal Control Theory An Introduction to Optimal Control Theory
2023
Stochastic Control Theory Stochastic Control Theory
2014
Stochastic Analysis and Applications Stochastic Analysis and Applications
2007
The Doctrine of Chances The Doctrine of Chances
2010
Stochastic Calculus and Applications Stochastic Calculus and Applications
2015
Theory of Random Sets Theory of Random Sets
2006
Point Process Theory and Applications Point Process Theory and Applications
2006
Probability Models for DNA Sequence Evolution Probability Models for DNA Sequence Evolution
2008
Stochastic Neutron Transport Stochastic Neutron Transport
2023