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Iterative Learning Control Algorithms and Experimental Benchmarking

in healthcare systems/ rehabilitation robotics. The book is essential reading for researchers and graduate students in iterative learning control;

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Iterative Learning Stabilization and Fault Tolerant Control for Batch Processes

processes; iterative learning optimal guaranteed cost control; delay-dependent iterative learning control; and iterative learning fault-tolerant;

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Approximate Iterative Algorithms

control, decision analysis and machine learning.;

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Approximate Iterative Algorithms

control, decision analysis and machine learning.;

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Learning Decision Sequences For Repetitive Processes-Selected Algorithms

of iterative learning and run-to-run control. The main ideas can be extended to other decision learning tasks, not included in this book. The text;

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Iterative Learning Control for Multi-agent Systems Coordination

and industrially relevant applications * Explores the synergy between the important topics of iterative learning control (ILC) and multi-agent;

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Control Systems Theory and Applications for Linear Repetitive Processes

algorithms. Finally, the application of some of these results in the area of iterative learning control is treated --- including experimental results;

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Parallel Iterative Algorithms

Focusing on grid computing and asynchronism, Parallel Iterative Algorithms explores the theoretical and practical aspects of parallel;

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Parallel Iterative Algorithms

Focusing on grid computing and asynchronism, Parallel Iterative Algorithms explores the theoretical and practical aspects of parallel;

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Dynamics And Robust Control Of Robot-environment Interaction

environment, including the human-robot physical interaction. It provides comprehensive theoretical and experimental coverage of interaction control;

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Applied Iterative Methods

Applied Iterative Methods is a self-contained treatise suitable as both a reference and a graduate-level textbook in the area of iterative;

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Applied Iterative Methods

Applied Iterative Methods is a self-contained treatise suitable as both a reference and a graduate-level textbook in the area of iterative;

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Intelligent Control of Robotic Systems

, two major issues have been dealt with; namely, stability of the systems and experimental validations. Learning algorithms and techniques as;

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Principal Component Analysis Networks and Algorithms

This book not only provides a comprehensive introduction to neural-based PCA methods in control science, but also presents many novel PCA;

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Applied Iterative Methods

This graduate-level text examines the practical use of iterative methods in solving large, sparse systems of linear algebraic equations and;

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Iterative Algorithms For Multilayer Optimizing Control

The book presents basic structures, concepts and algorithms in the area of multilayer optimizing control of industrial systems, as well as;

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Iterative Receiver Design

provides a general framework for systematically developing iterative algorithms for digital receivers, and highlights connections between important;

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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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Precision Motion Systems

challenges of researchers and professionals working in the field. The book explains accurate dynamics and control algorithms, along with experimental;

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Iterative Computer Algorithms With Applications In Engineering

combinatorial optimization problems: Simulated Annealing, Genetic Algorithms, Tabu Search, Simulated Evolution, and Stochastic Evolution. The authors;

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Iterative Learning Control

This book develops a coherent and quite general theoretical approach to algorithm design for iterative learning control based on the use;

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Iterative Optimization in Inverse Problems

, and statistical estimation. It incorporates recent work that has not appeared in other books and draws on the author's considerable research;

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Iterative Learning Control for Equations with Fractional Derivatives and Impulses

This book introduces iterative learning control (ILC) and its applications to the new equations such as fractional order equations;

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Advanced and Optimization Based Sliding Mode Control

particular emphasis on advanced and optimization based algorithms. The authors survey classical sliding mode control theory and introduce four new;

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Learning Algorithms

to learn from past experience, and therefore have significant potential in the adaptive control of signals and systems. This book focuses on;

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Active Sound and Vibration Control

This book presents the established fundamentals in the area of active sound and vibration control (ASVC) as well as exploring the new and;

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An Introduction to Iterative Toeplitz Solvers

, minimal realization problems in control theory, system identification problems in signal processing, and image restoration problems in image;

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