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. This
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. It 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.
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