Obzherin, Yuriy E. creator author. Boyko, Elena G. author. text bibliography Electronic books. Electronic books. enk 2015 monographic eng

electronic resource

1 online resource Featuring previously unpublished results, Semi-Markov Models: Control of Restorable Systems with Latent Failures describes valuable methodology which can be used by readers to build mathematical models of a wide class of systems for various applications. In particular, this information can be applied to build models of reliability, queuing systems, and technical control. Beginning with a brief introduction to the area, the book covers semi-Markov models for different control strategies in one-component systems, defining their stationary characteristics of reliability and efficiency, and uti. Cover; Title page; Copyright Page; Contents; Preface; List of Notations and Abbreviations; Introduction; Chapter 1 -- Preliminaries; 1.1 -- Strategies and characteristics of technical Control; 1.2 -- Preliminaries on renewal theory; 1.3 -- Preliminaries on semi-Markov processes with arbitrary phase space of states; Chapter 2 -- Semi-Markov Models of One-Component Systems with Regard to Control of Latent Failures; 2.1 -- The System Model With Component Deactivation While Control Execution; 2.1.1 -- The System Description; 2.1.2 -- Semi-Markov Model Building. 2.1.3 -- Definition of EMC Stationary Distribution2.1.4 -- Stationary Characteristics Definition; 2.2 -- The System Model Without Component Deactivation While Control Execution; 2.2.1 -- The System Description; 2.2.2 -- Semi-Markov Model Building; 2.2.3 -- Definition of EMC Stationary Distribution; 2.2.4 -- Stationary Characteristics Definition; 2.3 -- Approximation of Stationary Characteristics of One-Component System Without Component Deactivation; 2.3.1 -- System Description; 2.3.2 -- Semi-Markov Model Building of the Supporting System. 2.3.3 -- Definition of EMC Stationary Distribution for Supporting System2.3.4 -- Approximation of the System Stationary Characteristics; 2.4 -- The System Model With Component Deactivation and Possibility of Control Errors; 2.4.1 -- System Description; 2.4.2 -- Semi-Markov Model Building; 2.4.3 -- Definition of EMC Stationary Distribution; 2.4.4 -- System Stationary Characteristics Definition; 2.5 -- The System Model With Component Deactivation and Preventive Restoration; 2.5.1 -- System Description; 2.5.2 -- Semi-Markov model building; 2.5.3 -- Definition of the EMC Stationary Distribution. 2.5.4 -- Definition of the System Stationary CharacteristicsChapter 3 -- Semi-Markov Models of Two-Component Systems with Regard to Control of Latent Failures; 3.1 -- The Model of Two-Component Serial System with Immediate Control and Restoration; 3.1.1 -- System Description; 3.1.2 -- Semi-Markov Model Building; 3.1.3 -- Definition of EMC Stationary Distribution; 3.1.4 -- Stationary Characteristics Definition; 3.2 -- The Model of Two-Component Parallel System with Immediate Control and Restoration; 3.2.1 -- System Description; 3.2.2 -- Definition of System Stationary Characteristics. 3.3 -- The Model of Two-Component Serial System with Components Deactivation while Control Execution, the Distribution of Co ... 3.3.1 -- System Description; 3.3.2 -- Semi-Markov Model Building; 3.3.3 -- Definition of EMC Stationary Distribution; 3.3.4 -- Stationary Characteristics Definition; 3.4 -- The Model of Two-Component Parallel System with Components Deactivation While Control Execution, the Distribution of ... ; 3.4.1 -- Definition of EMC Stationary Distribution; 3.5 -- Approximation of Stationary Characteristics of Two-Component Serial Systems with Components Deactivation while Contro ... 3.5.1 -- System Description. Yuriy E. Obzherin, Elena G. Boyko. Includes bibliographical references and index. System analysis Mathematical models Markov processes SCIENCE System Theory TECHNOLOGY & ENGINEERING Operations Research Markov processes System analysis Mathematical models QA402 003 Obzherin, Yuriy E. Burlington : Elsevier Science, �2015 9780128024867 0128024860 0128022124 9780128022122 http://www.sciencedirect.com/science/book/9780128022122 http://www.sciencedirect.com/science/book/9780128022122 N$T 150216 20190328114810.0 ocn903488788 eng