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Iterative Learning Control for Flexible Structures

This book presents iterative learning control (ILC) to address practical issues of flexible structures. It is divided into four parts: Part;

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Iterative Learning Control for Flexible Structures

This book presents iterative learning control (ILC) to address practical issues of flexible structures. It is divided into four parts: Part;

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Iterative Learning Stabilization and Fault Tolerant Control for Batch Processes

topics in the field of control system engineering. It introduces iterative learning control for linear/nonlinear single/multi-phase batch;

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Iterative Learning Control for Multi-agent Systems Coordination

A timely guide using iterative learning control (ILC) as a solution for multi-agent systems (MAS) challenges, showcasing recent advances;

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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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Applied Vibration Suppression Using Piezoelectric Materials

of flexible structures are discussed. Additionally, different control techniques adapted for flexible robotic manipulators equipped with piezoelectric;

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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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Vibration Control of Active Structures

This text is an introduction to the feedback control of lightly damped flexible structures. The emphasis is placed on basic issues such as;

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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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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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Generic Multi-Agent Reinforcement Learning Approach for Flexible Job-Shop Scheduling

job-shop scheduling system for flexible and re-configurable manufacturing systems. Reinforcement Learning approaches are therefore;

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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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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 Control

Learning Control: Applications in Robotics and Complex Dynamical Systems provides a foundational understanding of control theory while also;

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Active Control of Structures

With Active Control of Structures, two global pioneers present the state-of-the-art in the theory, design and application of active;

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Intelligent Control Based on Flexible Neural Networks

. . . . . . . . . . . . . . . . . . . . . . . . . . . 64 3. 4 Learning Algorithms . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66 3. 4. 1 Generalized learning;

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Flexible Robot Manipulators

including soft-computing and smart structures for flexible manipulators; and (iv) software environments for analysis, design, simulation and control;

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Flexible Spacecraft Dynamics, Control and Guidance

original Lagrangian approach suitable for the control applications of large space flexible structures. Subsequent chapters address optimal control;

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Flexible Robotics

of methodologies for identification and control of flexible manipulators based on experimental data. Contents 1. Design of Integrated Flexible Structures;

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Learning Decision Sequences For Repetitive Processes-Selected Algorithms

This book provides tools and algorithms for solving a wide class of optimization tasks by learning from their repetitions. A unified;

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Proceedings of 2017 Chinese Intelligent Systems Conference

technology, Robotics and applications, Intelligent information processing, Iterative learning control, Machine Learning, and etc. Engineers and;

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Proceedings of the 2015 Chinese Intelligent Systems Conference

computing, intelligent control, advanced control technology, robotics and applications, intelligent information processing, iterative learning;

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Proceedings of the 2015 Chinese Intelligent Systems Conference

computing, intelligent control, advanced control technology, robotics and applications, intelligent information processing, iterative learning;

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Proceedings of the 2015 Chinese Intelligent Systems Conference

computing, intelligent control, advanced control technology, robotics and applications, intelligent information processing, iterative learning;

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Dynamics of Smart Structures

their applications and prosthetic control systems. It includes chapters on smart materials and structures, transducers for smart structures;

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Piezoelectric Actuators

in flexible structures. Applications include beams, plates, and shells; sensors and actuators for cabin noise control; and position controllers for;

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