Stochastic Reachability Analysis of Hybrid Systems is a self-contained and accessible introduction to this novel topic in the analysis and development of stochastic hybrid systems. Beginning with the relevant aspects of Markov models and introducing stochastic hybrid systems, the book then moves on to coverage of reachability analysis for stochastic hybrid systems. Following this build up, the core of the text first formally defines the concept of reachability in the stochastic framework and then treats issues representing the different faces of SRA:
· stochastic reachability based on Markov process theory;
· martingale methods;
· stochastic reachability as an optimal stopping problem; and
· dynamic programming.
The book is rounded off by an appendix providing mathematical underpinning on subjects such as ordinary differential equations, probabilistic measure theory and stochastic modeling,which will help the non-expert-mathematician to appreciate the text.
Stochastic Reachability Analysis of Hybrid Systems characterizes a highly interdisciplinary area of research and is consequently of significant interest to academic researchers and graduate students from a variety of backgrounds in control engineering, applied mathematics and computer science.
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"The author presents recent developments in the hybrid stochastic modeling for the analysis of embedded systems. The book starts with a smooth introduction into the problems related to Markovian models. The author defines and characterizes discrete space and continuous space Markov models. ... The book is appended by description of some mathematical standard tools that makes it self-contained." (A. Swierniak, Zentralblatt MATH, Vol. 1245, 2012)