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Finite Approximations in Discrete-Time Stochastic Control

In a unified form, this monograph presents fundamental results on the approximation of centralized and decentralized stochastic control;

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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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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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Discrete-Time Stochastic Sliding Mode Control Using Functional Observation

substantially. Sliding-mode control (SMC) is designed for discrete-time stochastic systems, extended so that states lie within a specified band;

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Discrete-Time Stochastic Sliding Mode Control Using Functional Observation

substantially. Sliding-mode control (SMC) is designed for discrete-time stochastic systems, extended so that states lie within a specified band;

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Numerical Approximations of Stochastic Differential Equations with Non-Globally Lipschitz Continuous Coefficients

Many stochastic differential equations (SDEs) in the literature have a superlinearly growing nonlinearity in their drift or diffusion;

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Optimal Networked Control Systems with MATLAB

formulation for linear systems in input-output form enclosed by a communication network Addresses the stochastic optimal control of nonlinear;

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Optimal Networked Control Systems With MATLAB

systems in input-output form enclosed by a communication network Addresses the stochastic optimal control of nonlinear NCS by using neuro dynamic;

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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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Stochastic Finite Elements

Stochastic Finite Element Method (SSFEM) has proven successful at forecasting a variety of uncertainties in calculating system responses. This text;

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Stochastic Control of Partially Observable Systems

The problem of stochastic control of partially observable systems plays an important role in many applications. All real problems are;

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Performance Analysis and Synthesis for Discrete-Time Stochastic Systems with Network-Enhanced Complexities

Gives results of stochastic control and filtering distributed control and filtering, and security control of complex networked systems;

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Performance Analysis and Synthesis for Discrete-Time Stochastic Systems with Network-Enhanced Complexities

Gives results of stochastic control and filtering distributed control and filtering, and security control of complex networked systems;

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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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Discrete-Time and Discrete-Space Dynamical Systems

types of discrete-time and discrete-space dynamical systems, including: Boolean control networks; nondeterministic finite-transition systems;

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Discrete Time and Discrete Space Dynamical Systems

types of discrete-time and discrete-space dynamical systems, including: Boolean control networks; nondeterministic finite-transition systems;

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

of reduced-order and preview tracking control are also presented and solved. The second part of the monograph concerns non-linear stochastic state;

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Discrete-Time Higher Order Sliding Mode

-time higher order sliding mode. The authors propose a definition of discrete-time higher order sliding mode and a control law is designed by;

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Infinite-Horizon Optimal Control in the Discrete-Time Framework

In this book the authors take a rigorous look at the infinite-horizon discrete-time optimal control theory from the viewpoint;

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Neural Approximations for Optimal Control and Decision

errors of approximate solutions; * solution algorithms for optimal control and decision in deterministic or stochastic environments with perfect;

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Recent Advances in Delay Differential and Difference Equations

Delay differential and difference equations serve as models for a range of processes in biology, physics, engineering and control theory;

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Stochastic Processes in Cell Biology

This book develops the theory of continuous and discrete stochastic processes within the context of cell biology. A wide range;

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Stochastic Exponential Growth and Lattice Gases

The book discusses a class of discrete time stochastic growth processes for which the growth rate is proportional to the exponential of a;

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Discrete Stochastic Processes

Stochastic processes are found in probabilistic systems that evolve with time. Discrete stochastic processes change by only integer time;

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Continuous-Time Random Walks for the Numerical Solution of Stochastic Differential Equations

This paper introduces time-continuous numerical schemes to simulate stochastic differential equations (SDEs) arising in mathematical;

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Analysis and Synthesis for Discrete Time Switched Systems

switching scheme, including stability and disturbance attenuation performance analysis, control and filtering, asynchronous switching, finite-time;

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