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Relative Optimization of Continuous-Time and Continuous-State Stochastic Systems

This monograph applies the relative optimization approach to time nonhomogeneous continuous-time and continuous-state dynamic systems. The;

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Relative Optimization of Continuous-Time and Continuous-State Stochastic Systems

This monograph applies the relative optimization approach to time nonhomogeneous continuous-time and continuous-state dynamic systems. The;

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

appreciation of the text: a basic introduction to stochastic control processes, aspects of linear matrix inequality optimization, and MATLAB codes for;

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A Continuous Time Econometric Model of the United Kingdom with Stochastic Trends

presents a continuous time macroeconometric model of the United Kingdom incorporating stochastic trends. Its development represents a major step;

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A Continuous Time Econometric Model of the United Kingdom with Stochastic Trends

presents a continuous time macroeconometric model of the United Kingdom incorporating stochastic trends. Its development represents a major step;

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Control and Boundary Analysis

This volume comprises selected papers from the 21st Conference on System Modeling and Optimization in Sophia Antipolis, France. It covers;

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Control and Boundary Analysis

This volume comprises selected papers from the 21st Conference on System Modeling and Optimization in Sophia Antipolis, France. It covers;

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Structured Controllers for Uncertain Systems

of continuous non-convex optimization problems is also provided and various optimization criteria for the design of a structured controller are;

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Linear Parameter-varying System Identification

researchers, the book contains twelve chapters, focusing on the most recent LPV identification methods for both discrete-time and continuous-time;

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Stochastic Modeling and Analysis of Telecom Networks

as Markov processes, real and spatial point processes and stochastic recursions, and presenting a wide list of results on stability;

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Controlled Markov Processes and Viscosity Solutions

This book is an introduction to optimal stochastic control for continuous time Markov processes and the theory of viscosity solutions. It;

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Controlled Markov Processes and Viscosity Solutions

This book is an introduction to optimal stochastic control for continuous time Markov processes and the theory of viscosity solutions. It;

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Numerical Methods for Stochastic Control Problems in Continuous Time

reflect the latest developments. It covers effective numerical methods for stochastic control problems in continuous time on two levels, that;

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Stochastic Global Optimization

global optimization is applicable to any type of problems having non-differentiable functions, discrete variables and/or continuous variables. It;

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Weak Convergence of Financial Markets

A comprehensive overview of weak convergence of stochastic processes and its application to the study of financial markets. Split into;

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The Economics of Continuous-Time Finance

An introduction to economic applications of the theory of continuous-time finance that strikes a balance between mathematical rigor and;

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Stochastic Analysis

martingales (particularly, continuous martingales of continuous paths), stochastic integrations with respect to continuous local martingales, and;

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Stochastic Analysis

martingales (particularly, continuous martingales of continuous paths), stochastic integrations with respect to continuous local martingales, and;

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Advances in Reliability and System Engineering

book covers reliability measures, reliability assessment of multi-state systems, optimization of multi-state systems, continuous multi-state;

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Fractional Signals and Systems

The book illustrates the theoretical results of fractional derivatives via applications in signals and systems, covering continuous and;

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Introduction to Process Control

statistical techniques and methods of control and system optimization needed for the mathematical modeling, analysis, simulation, control and;

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Discrete-Time Stochastic Sliding Mode Control Using Functional Observation

discrete-time stochastic systems. It details sliding-function designs for various categories of linear time-invariant systems and its application;

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Discrete-Time Stochastic Sliding Mode Control Using Functional Observation

discrete-time stochastic systems. It details sliding-function designs for various categories of linear time-invariant systems and its application;

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Brownian Motion and Stochastic Calculus

of both a martingale and a Markov process with continuous paths. In this context, the theory of stochastic integration and stochastic calculus;

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Advanced Optimization for Process Systems Engineering

theory and methods for process systems engineers. Topics covered include continuous, discrete and logic optimization (linear, nonlinear, mixed;

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Stochastic Population And Epidemic Models

then continuous-time and continuous-state branching processes with applications. In addition, several MATLAB programs for simulating stochastic;

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Stochastic Analysis of Biochemical Systems

is presented in a manner most suitable for students who have studied stochastic processes up to and including martingales in continuous time, much;

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