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Robust Adaptive Dynamic Programming

challenge arising from dynamic uncertainties encountered in common engineering problems. Robust Adaptive Dynamic Programming zeros in on the;

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Adaptive Stochastic Optimization Techniques with Applications

optimization techniques used to solve problems with adaptive, dynamic, and stochastic features. Presenting modern advances in static and dynamic;

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Adaptive Dynamic Programming with Applications in Optimal Control

This book covers the most recent developments in adaptive dynamic programming (ADP). The text begins with a thorough background review;

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Robust Adaptive Beamforming

robust adaptive beamformers that vastly improve signal strength against background noise and directional interference. This dynamic technology;

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Adaptive Critic Control with Robust Stabilization for Uncertain Nonlinear System

This book reports on the latest advances in adaptive critic control with robust stabilization for uncertain nonlinear systems. Covering the;

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Distributed Cooperative Control and Communication for Multi agent Systems

dynamic programming, etc. From this book, readers can learn about distributed cooperative control methods, data-driven control, finite-time;

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Distributed Cooperative Control and Communication for Multi agent Systems

dynamic programming, etc. From this book, readers can learn about distributed cooperative control methods, data-driven control, finite-time;

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Self-Learning Optimal Control of Nonlinear Systems

This book presents a class of novel, self-learning, optimal control schemes based on adaptive dynamic programming techniques, which;

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Robust Adaptive Controls

that can be used to manage dynamical systems with unknown parameters. Topics include models for dynamic systems, stability, online parameter;

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Partially Observed Markov Decision Proce

processes (POMDPs). It emphasizes structural results in stochastic dynamic programming, enabling graduate students and researchers in engineering;

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Optimal Adaptive Control and Differential Games by Reinforcement Learning Principles

This book gives an exposition of recently developed approximate dynamic programming (ADP) techniques for decision and control in human;

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Electric Power System Applications of Optimization

of Adaptive Critics Design and practical applications of approximate dynamic programming. To round out the coverage, the final chapter combines;

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Electric Power System Applications of Optimization

of Adaptive Critics Design and practical applications of approximate dynamic programming. To round out the coverage, the final chapter combines;

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Reinforcement Learning and Approximate Dynamic Programming for Feedback Control

Reinforcement learning (RL) and adaptive dynamic programming (ADP) has been one of the most critical research fields in science and;

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Optimal Control

, the fundamentals of optimal control theory. It covers the major topics involving measurement, principles of optimality, dynamic programming;

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Development of Adaptive Speed Observers for Induction Machine System Stabilization

is then applied to the controls of a photovoltaic-motor water-pumping system, which results in improved dynamic performance under different;

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A robust and adaptive matching procedure for automatic modelling of terrain relief

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Creating Dynamic UI with Android Fragments

A fast-paced tutorial that guides you through everything you need to know about dynamic UI design for Android devices.This book is for;

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Design and Analysis of Control Systems

development of the mathematical models for dynamic systems, the author shows how they are used to obtain system response and facilitate control, then;

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Introduction to Stochastic Dynamic Programming

Introduction to Stochastic Dynamic Programming is een boek van Sheldon M. Ross;

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Adaptive Robust Control for Planar Snake Robots

surface. To achieve robustness to unknown variations in surface conditions, it explores various adaptive robust control methods. The authors;

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Adaptive Robust Control for Planar Snake Robots

surface. To achieve robustness to unknown variations in surface conditions, it explores various adaptive robust control methods. The authors;

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The Responsive Global Organization

innovation, dynamic integrative processes, cross-cultural management, crisis handling, and the impact of abrupt events.The diversity of multinational;

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Parallel Programming

reader with the understanding of parallel programing so as to analyze the differences in modular programming, recursive programming and dynamic;

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Modeling and Adaptive Nonlinear Control of Electric Motors

motors. The book reports new global robust adaptive designs for motors and provides new tools for control designs, with an emphasis on stepper;

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Languages and Compilers for Parallel Computing

from 26 submissions. Specific topics are compiling for parallelism and parallel compilers, static, dynamic, and adaptive optimization;

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Model Free Adaptive Control

Lipschitz conditions, etc.; dynamic linearization approaches for nonlinear systems, such as compact-form dynamic linearization, partial-form dynamic;

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