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Stochastic models for repairable systems

STOCHASTIC MODELS FOR REPAIRABLE SYSTEMS;

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Deterministic Versus Stochastic Modelling in Biochemistry and Systems Biology

Stochastic kinetic methods are currently considered to be the most realistic and elegant means of representing and simulating the dynamics;

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Stochastic Biomathematical Models

Stochastic biomathematical models are becoming increasingly important as new light is shed on the role of noise in living systems;

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Stochastic Systems In Merging Phase Space

This book provides recent results on the stochastic approximation of systems by weak convergence techniques. General and particular schemes;

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Control and System Theory of Discrete-Time Stochastic Systems

discrete-time stochastic systems so that they can then apply its principles to their own stochastic control systems and to the solution of control;

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Linear Stochastic Systems

Linear Stochastic Systems, originally published in 1988, is today as comprehensive a reference to the theory of linear discrete-time;

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Stochastic Systems

cost effective and reliable designs. The states of these systems satisfy equations with random entries, referred to as stochastic equations, so;

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Stochastic Reachability Analysis of Hybrid Systems

Stochastic reachability analysis (SRA) is a method of analyzing the behavior of control systems which mix discrete and continuous dynamics;

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Stochastic Stability of Differential Equations in Abstract Spaces

The stability of stochastic differential equations in abstract, mainly Hilbert, spaces receives a unified treatment in this self-contained;

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Nonlinear Stochastic Control and Filtering with Engineering-Oriented Complexities

Nonlinear Stochastic Control and Filtering with Engineering-oriented Complexities presents a series of control and filtering approaches for;

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Nonlinear Stochastic Control and Filtering With Engineering-Oriented Complexities

Nonlinear Stochastic Control and Filtering with Engineering-oriented Complexities presents a series of control and filtering approaches for;

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Variance-Constrained Multi-Objective Stochastic Control and Filtering

This title unifies existing and emerging concepts concerning multi-objective control and stochastic control with engineering-oriented;

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Advanced Topics in Control and Estimation of State-Multiplicative Noisy Systems

nominal and uncertain stochastic systems, via the input-output approach. It presents solutions to the problems of state-feedback, filtering, and;

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New Trends In Stochastic Analysis And Related Topics

The volume is dedicated to Professor David Elworthy to celebrate his fundamental contribution and exceptional influence on stochastic;

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Stochastic Dynamics and Control

graduate course. It provides a systematic review of theory of probability, stochastic processes, and stochastic calculus. The feedback control;

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Comparison Methods for Stochastic Models and Risks

Stochastic order relations prprovide a valuable insight into the behaviour of complex stochastic (random) systems and enable the user to;

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Modeling and Management of Stochastic Systems

Stochastic control deals with the uncertainties in data observation playing a crucial role in data evolution. Stochastic control plays a;

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Dynamical Mechanical Systems Under Random Impulses

The book presents the methods of analysis of dynamical mechanical systems subjected to stochastic excitations in form of random trains;

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Handbook of Stochastic Models and Analysis of Manufacturing System Operations

This handbook surveys important stochastic problems and models in manufacturing system operations and their stochastic analysis. Using;

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Stochastic Modelling For Systems Biology

Although stochastic kinetic models are increasingly accepted as the best way to represent and simulate genetic and biochemical networks;

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Stochastic Dynamical Systems

in the study of stochastical dynamical systems. Unlike other books in the field it covers a broad array of stochastic and statistical methods.;

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Stochastic Analysis, Stochastic Systems, And Applications To Finance

with the analysis of stochastic dynamical systems, in terms of Gaussian processes, white noise theory, and diffusion processes. The second part;

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Stochastic Game Strategies and their Applications

problems, which are stimulated by a vast number of applications. This book addresses the gap to discuss general stochastic n-person noncooperative;

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Stochastic Game Strategies and their Applications

problems, which are stimulated by a vast number of applications. This book addresses the gap to discuss general stochastic n-person noncooperative;

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Chaotic Transitions in Deterministic and Stochastic Dynamical Systems

. escapes from and captures into preferred regions of phase space. This book develops a unified treatment of deterministic and stochastic systems;

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Stochastic Economic Dynamics

This book analyses stochastic dynamic systems across a broad spectrum in economics and finance. The major unifying theme is the coherent;

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Nonlinear Dynamics and Stochastic Mechanics

Engineering systems have played a crucial role in stimulating many of the modern developments in nonlinear and stochastic dynamics. After;

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