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Advanced Simulation-Based Methods for Optimal Stopping and Control

This is an advanced guide to optimal stopping and control, focusing on advanced Monte Carlo simulation and its application to finance;

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Numerical Methods for Simulation and Optimization of Piecewise Deterministic Markov Processes

introduces the development of numerical techniques for optimal control problems such as stopping and impulse control problems.;

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Anti-sway Control for Cranes

, simulation results and source codes of each control design. All methods are analyzed and verified by MATLAB. Passivity-based, sliding-mode-based and;

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Rigid-Flexible Coupling Dynamics and Control of Flexible Spacecraft with Time-Varying Parameters

structures. Optimal slew strategies based on variable amplitudes input shaping methods and coupling control methods are proposed for stabilization;

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Modern Trends in Controlled Stochastic Processes:

methods for Markov and semi-Markov decision processes, optimal stopping of Markov processes, stochastic games, problems with partial information;

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Radial Basis Function (RBF) Neural Network Control for Mechanical Systems

concrete design methods and MATLAB simulation of stable adaptive RBF neural control strategies. In this book, a broad range of implementable neural;

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Control Oriented Modelling & Identificat

to develop advanced mathematical models suitable for control system design, including: object-oriented modelling and simulation; projection;

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Nonlinear Pinning Control of Complex Dynamical Networks

inverse optimal control approach is employed. For both cases, model-based is considered in Chapter 3 and Chapter 5; then, Chapter 4 and Chapter 6;

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Simulation and Testing for Vehicle Technology

The book includes contributions on the latest model-based methods for the development of personal and commercial vehicle control devices;

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Optimal State Estimation for Process Monitoring, Fault Diagnosis and Control

Optimal State Estimation for Process Monitoring, Fault Diagnosis and Control presents various mechanistic model based state estimators;

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Applied Stochastic Control of Jump Diffusions

Here is a rigorous introduction to the most important and useful solution methods of various types of stochastic control problems for jump;

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Hamilton-Jacobi-Bellman Equations

Viability approach to simulation of an adaptive controller Galerkin approximations for the optimal control of nonlinear delay differential;

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Multi-Stage Flash Desalination

plants, and based on research conducted on a real 18-stage plant, Multi-Stage Flash Desalination: Modeling, Simulation and Adaptive Control;

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Multi-Stage Flash Desalination

method for finding and using a non-parametric model in designing optimal PID control systems and recommends an adaptive scheme that maintains;

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Advanced Robust Nonlinear Control Approaches for Quadrotor Unmanned Aerial Vehicle

, researchers on flight control for drones and applications of advanced controllers in engineering field. This book presents a must-survey for advanced;

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Modeling and Simulation of Complex Power Systems

and simulation of power systems. The book introduces the two main families of techniques for computer-based simulation of dynamic systems, and;

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Building Control with Passive Dampers

-based design. However, structural engineers often lack the tools for the optimal selection and placement of such systems. In Building Control;

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Stochastic Optimal Control of Structures

-based stochastic optimal (PSO) control. By logically integrating randomness into control gain, the book helps readers design elegant control;

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Stochastic Optimal Control of Structures

-based stochastic optimal (PSO) control. By logically integrating randomness into control gain, the book helps readers design elegant control;

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Introducing Monte Carlo Methods with R

statisticians with a practical understanding of those methods, and there is no better way to develop intuition and skills for simulation than to use;

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Optimal Learning

features coverage of linear belief models, subset selection models, scalar function optimization, optimal bidding, and stopping problems *Advanced;

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Computational Simulation in Architectural and Environmental Acoustics

This book reviews a variety of methods for wave-based acoustic simulation and recent applications to architectural and environmental;

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A Practical Guide for Advanced Methods in Solar Photovoltaic Systems

in solar cells and PV systems (eg. advanced algorithms for control, optimization, power forecasting, monitoring and fault diagnosis methods). The;

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Numerical Methods in Finance

research on the mathematical theory and the practical applications of optimal stopping problems as they relate to financial applications. By;

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Thermal System Design and Simulation

in obtaining an advanced knowledge of thermal system analysis and design. Contains detailed models of simulation for equipment in the most;

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Sequential Stochastic Optimization

presents a unified theory of optimal stopping and optimal sequential control of stochastic processes. This book has been carefully organized so;

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Advanced Electrical Drives

) simulation and vector processing tools that were specifically adopted for the purpose of these hands-on tutorials. Hence, Advanced Electrical Drives;

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