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challenge arising from dynamic uncertainties encountered in common engineering problems. Robust Adaptive Dynamic Programming zeros in on the;
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optimization techniques used to solve problems with adaptive, dynamic, and stochastic features. Presenting modern advances in static and dynamic;
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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 beamformers that vastly improve signal strength against background noise and directional interference. This dynamic technology;
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This book reports on the latest advances in adaptive critic control with robust stabilization for uncertain nonlinear systems. Covering the;
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dynamic programming, etc. From this book, readers can learn about distributed cooperative control methods, data-driven control, finite-time;
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dynamic programming, etc. From this book, readers can learn about distributed cooperative control methods, data-driven control, finite-time;
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This book presents a class of novel, self-learning, optimal control schemes based on adaptive dynamic programming techniques, which;
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that can be used to manage dynamical systems with unknown parameters. Topics include models for dynamic systems, stability, online parameter;
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processes (POMDPs). It emphasizes structural results in stochastic dynamic programming, enabling graduate students and researchers in engineering;
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This book gives an exposition of recently developed approximate dynamic programming (ADP) techniques for decision and control in human;
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of Adaptive Critics Design and practical applications of approximate dynamic programming. To round out the coverage, the final chapter combines;
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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 (RL) and adaptive dynamic programming (ADP) has been one of the most critical research fields in science and;
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, the fundamentals of optimal control theory. It covers the major topics involving measurement, principles of optimality, dynamic programming;
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is then applied to the controls of a photovoltaic-motor water-pumping system, which results in improved dynamic performance under different;
Vergelijkbare producten zoals Development of Adaptive Speed Observers for Induction Machine System Stabilization
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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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 is een boek van Sheldon M. Ross;
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surface. To achieve robustness to unknown variations in surface conditions, it explores various adaptive robust control methods. The authors;
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surface. To achieve robustness to unknown variations in surface conditions, it explores various adaptive robust control methods. The authors;
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innovation, dynamic integrative processes, cross-cultural management, crisis handling, and the impact of abrupt events.The diversity of multinational;
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reader with the understanding of parallel programing so as to analyze the differences in modular programming, recursive programming and dynamic;
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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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from 26 submissions. Specific topics are compiling for parallelism and parallel compilers, static, dynamic, and adaptive optimization;
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Lipschitz conditions, etc.; dynamic linearization approaches for nonlinear systems, such as compact-form dynamic linearization, partial-form dynamic;
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