Foundations of Average-Cost Nonhomogeneous Controlled Markov Chains

Häftad, Engelska, 2020

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Using confluencity and relative optimization, the author classifies states as confluent or branching and shows how the under-selectivity issue of the long-run average can be easily addressed, multi-class optimization implemented, and Nth biases and Blackwell optimality conditions derived.

Produktinformation

Utgivningsdatum2020-09-10
Mått155 x 235 x undefined mm
FormatHäftad
SpråkEngelska
SerieSpringerBriefs in Electrical and Computer Engineering
Antal sidor120
FörlagSpringer Nature Switzerland AG
ISBN9783030566777

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Professor Xi-Ren Cao gained his B.S. in 1967 from the University of Sciences and Technology of China, and his M.S. and Ph.D. from Harvard University, in 1982 and 1984, respectively. He has worked in numerous industrial, teaching, and research positions since then, and is now a Professor Emeritus, The Hong Kong University of Science and Technology. He has acted as an Industry Consultant, was Editor-in-Chief of Discrete Event Dynamic Systems: Theory and Applications for 9 years, and is a Fellow of IFAC and the IEEE. He has published 125 peer-reviewed journal papers, 12 invited book chapters, and four books.