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Stochastic Linear-Quadratic Optimal Control Theory: Differential Games and Mean-Field Problems

associated Riccati equation, and also explores the open-loop solvability of mean-filed linear-quadratic optimal control problems. Although the;

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Stochastic Linear-Quadratic Optimal Control Theory: Open-Loop and Closed-Loop Solutions

This book gathers the most essential results, including recent ones, on linear-quadratic optimal control problems, which represent an;

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Optimal Control of Stochastic Difference Volterra Equations

and the filtering problem formulated. Finally, two methods of solving the optimal control problem for partly observable linear stochastic;

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Optimization Under Stochastic Uncertainty

described, as open-loop control, closed-loop, feedback control and open-loop feedback control, used for iterative construction of feedback controls;

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Optimization Under Stochastic Uncertainty

described, as open-loop control, closed-loop, feedback control and open-loop feedback control, used for iterative construction of feedback controls;

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Stochastic Optimal Control of Structures

, such as deterministic control and classical linear quadratic Gaussian (LQG) control associated with nominal white noises.;

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Stochastic Optimal Control of Structures

, such as deterministic control and classical linear quadratic Gaussian (LQG) control associated with nominal white noises.;

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Linear Systems

Balancing rigorous theory with practical applications, Linear Systems: Optimal and Robust Control explains the concepts behind linear;

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Optimal Networked Control Systems with MATLAB

begins by providing background on NCS, networked imperfections, dynamical systems, stability theory, and stochastic optimal adaptive controllers;

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Optimal Networked Control Systems With MATLAB

by providing background on NCS, networked imperfections, dynamical systems, stability theory, and stochastic optimal adaptive controllers;

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Stochastic Networked Control Systems: Stabilization and Optimization Under Information Constraints

within applied mathematics such as decentralized control, stochastic control, information theory, and quantization. A thorough, self;

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Optimal Control

of control systems. It explores linear optimal control theory from an engineering viewpoint, with step-by-step explanations that show clearly how to;

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Encyclopedia of Mathematics Research

optimal fuzzy reasoning; nozzle design optimisation; a branch-and-price algorithm for the stochastic generalised assignment problem; parametric;

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Model Based Fuzzy Control

objective of model based fuzzy control is to use the full range of linear and nonlinear design and analysis methods to design such fuzzy controllers;

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Subspace Methods for System Identification

; system theory; stochastic processes; and Kalman filtering. Part II explains realization theory as applied to subspace identification. Stochastic;

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LQ Dynamic Optimization and Differential Games

assessment of the state of the art in its field and the first modern book on linear-quadratic game theory, one of the most commonly used tools for;

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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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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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Controlled Markov Processes and Viscosity Solutions

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

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Switch-Mode Power Converters

Lockheed Martin, fills this gap and provides among the first descriptions of how error amplifiers are designed in conjunction with closed-loop;

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Model Predictive Control

For the first time, a textbook that brings together classical predictive control with treatment of up-to-date robust and stochastic;

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Linear Optimal Control

of control system design and analysis. A comprehensive book, Linear Optimal Control covers the analysis of control systems, H2 (linear quadratic;

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Stochastic Control & Mathematical Modeli

in stochastic control theory studying its application in mathematical economics and those in economics who are interested in mathematical theory;

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Optimal and Robust Control

knowledge of automatic control and signals and systems, this second edition of Optimal and Robust Control offers a straightforward, self-contained;

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Linear-Quadratic Controls in Risk-Averse Decision Making

Linear-Quadratic Controls in Risk-Averse Decision Making cuts across control engineering (control feedback and decision optimization) and;

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Continuous Time Dynamical Systems

-pulse functions and shifted Legendre polynomials State estimation of linear time-invariant systems Linear optimal control systems;

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