Positive Markov Jump Linear Systems

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Author :
Release : 2015-12-04
Genre : Technology & Engineering
Kind :
Book Rating : 965/5 ( reviews)

Positive Markov Jump Linear Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Positive Markov Jump Linear Systems write by Paolo Bolzern. This book was released on 2015-12-04. Positive Markov Jump Linear Systems available in PDF, EPUB and Kindle. Positive Markov Jump Linear Systems are piecewise positive linear systems affected by a stochastic signal generated by a Markov chain. Positive systems naturally arise in the description of biological systems, compartmental models, population dynamics, traffic modeling, chemical reactions, queue processes, and so on. A rich literature on positive linear systems is now available. Positive Markov Jump Linear Systems is the first work to provide an overview of these developments. It outlines the typical applications of such systems, giving a detailed description of the mathematical theory underpinning the subject. Positive Markov Jump Linear Systems provides a comprehensive and timely introduction to the study of such systems. Readers who are new to the topic will find everything required to understand such systems in a concise and accessible form.

Positive Markov Jump Linear Systems

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Author :
Release : 2015
Genre : Jump processes
Kind :
Book Rating : 972/5 ( reviews)

Positive Markov Jump Linear Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Positive Markov Jump Linear Systems write by Paolo Bolzern. This book was released on 2015. Positive Markov Jump Linear Systems available in PDF, EPUB and Kindle. This paper presents a comprehensive study of continuous-time Positive Markov Jump Linear Systems (PMJLS). A PMJLS can be seen as a dynamical system that switches within a finite set of linear time-invariant subsystems according to a stochastic switching signal modelled as a Markov chain, and describes the time-evolution of nonnegative variables under nonnegative inputs. Contrary to the well-studied general class of Markov Jump Linear Systems (MJLS), positivity endows the model with peculiar properties. The paper collects some existing results together with original developments on the stability analysis of PMJLS and the study of their input-output properties. In particular, conditions for stability of PMJLS are discussed, mainly based on Linear Programming problems. Similar computational tools are derived to analyze performance measures, such as L1, L2 and L8 costs and the respective input-output induced gains. The second part of the paper is devoted to the class of Dual switching Positive Markov Jump Linear Systems (D-PMJLS), namely PMJLS affected by an additional switching variable which can be either an unknown disturbance or a control signal available to the designer for stabilization and performance optimization. We discuss several problems, including stability, performance analysis, stabilization via switching control, and optimization. Some application examples are introduced to motivate the interest in PMJLS and D-PMJLS.

Discrete-Time Markov Jump Linear Systems

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Release : 2006-03-30
Genre : Mathematics
Kind :
Book Rating : 826/5 ( reviews)

Discrete-Time Markov Jump Linear Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Discrete-Time Markov Jump Linear Systems write by O.L.V. Costa. This book was released on 2006-03-30. Discrete-Time Markov Jump Linear Systems available in PDF, EPUB and Kindle. 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

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Release : 2005-02-02
Genre : Computers
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Book Rating : 612/5 ( reviews)

Discrete-Time Markov Jump Linear Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Discrete-Time Markov Jump Linear Systems write by O.L.V. Costa. This book was released on 2005-02-02. Discrete-Time Markov Jump Linear Systems available in PDF, EPUB and Kindle. 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

Continuous-Time Markov Jump Linear Systems

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Release : 2012-12-18
Genre : Mathematics
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Book Rating : 004/5 ( reviews)

Continuous-Time Markov Jump Linear Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Continuous-Time Markov Jump Linear Systems write by Oswaldo Luiz do Valle Costa. This book was released on 2012-12-18. Continuous-Time Markov Jump Linear Systems available in PDF, EPUB and Kindle. It has been widely recognized nowadays the importance of introducing mathematical models that take into account possible sudden changes in the dynamical behavior of a high-integrity systems or a safety-critical system. Such systems can be found in aircraft control, nuclear power stations, robotic manipulator systems, integrated communication networks and large-scale flexible structures for space stations, and are inherently vulnerable to abrupt changes in their structures caused by component or interconnection failures. In this regard, a particularly interesting class of models is the so-called Markov jump linear systems (MJLS), which have been used in numerous applications including robotics, economics and wireless communication. Combining probability and operator theory, the present volume provides a unified and rigorous treatment of recent results in control theory of continuous-time MJLS. This unique approach is of great interest to experts working in the field of linear systems with Markovian jump parameters or in stochastic control. The volume focuses on one of the few cases of stochastic control problems with an actual explicit solution and offers material well-suited to coursework, introducing students to an interesting and active research area. The book is addressed to researchers working in control and signal processing engineering. Prerequisites include a solid background in classical linear control theory, basic familiarity with continuous-time Markov chains and probability theory, and some elementary knowledge of operator theory. ​