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Learning-Based Adaptive Control

active research frontier. This book focuses on a specific subclass of adaptive control, namely, learning-based adaptive control. As systems;

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Learning Control

introducing exciting cutting-edge technologies in the field of learning-based control. State-of-the-art techniques involving machine learning and;

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Proceedings of 2017 Chinese Intelligent Automation Conference

control, neural network based control, knowledge based control, hybrid intelligent control, learning control, evolutionary mechanism based control;

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AI based Robot Safe Learning and Control

This open access book mainly focuses on the safe control of robot manipulators. In order to enhance the safety performance of robot systems;

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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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Proceedings of 2013 Chinese Intelligent Automation Conference

control, learning control, evolutionary mechanism based control, multi-sensor integration, failure diagnosis, and reconfigurable control;

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Proceedings of 2013 Chinese Intelligent Automation Conference

control, learning control, evolutionary mechanism based control, multi-sensor integration, failure diagnosis, and reconfigurable control;

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Proceedings of 2013 Chinese Intelligent Automation Conference

control, learning control, evolutionary mechanism based control, multi-sensor integration, failure diagnosis, and reconfigurable control;

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Adaptive Control

sliding mode control for under-actuated mechanical systems; neural network adaptive PID control design based on PLC for a water-level system; and;

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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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Deep Reinforcement Learning with Guaranteed Performance

control method based on the Taylor expansion, neural networks, estimator design approaches, and the idea of sliding mode control, focusing on the;

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Adaptive Learning Methods for Nonlinear System Modeling

introduced by the unknown system. In particular, the methods presented in this book are based on online learning approaches, which process the data;

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Designing Adaptive and Personalized Learning Environments

Designing Adaptive and Personalized Learning Environments provides a theoretically-based yet practical guide to systematic design processes;

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Designing Adaptive and Personalized Learning Environments

Designing Adaptive and Personalized Learning Environments provides a theoretically-based yet practical guide to systematic design processes;

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Advances in Systems Control and Automations

approaches in automation, control based devices, and adaptive learning mechanisms. The contents discuss the complex operations and behaviors;

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Soft Computing with NeuroFuzzy Systems

system in speed control of induction motor drives; neuro-fuzzy based interline power flow controller for real time power flow control;

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Neural Network-Based Adaptive Control of Uncertain Nonlinear Systems

network-based control schemes. Each chapter starts with a concise introduction to the problem under study, and a neural network-based control;

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AI based Robot Safe Learning and Control

This open access book mainly focuses on the safe control of robot manipulators. The control schemes are mainly developed based on dynamic;

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Adaptive RF Front-Ends for Hand-held Applications

knowledge on matching network properties, in order to simplify robust 2-dimensional control. A generic protection concept is presented, based on;

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Adex Optimized Adaptive Controllers and Systems

adaptive control from a perspective of stability, including the latest methodology of adaptive predictive expert (ADEX) control. ADEX Optimized;

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Self-Learning Control of Finite Markov Chains

Presents a number of new and potentially useful self-learning (adaptive) control algorithms and theoretical as well as practical results;

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Self-Learning Control of Finite Markov Chains

Presents a number of new and potentially useful self-learning (adaptive) control algorithms and theoretical as well as practical results;

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Tactile Sensing, Skill Learning, and Robotic Dexterous Manipulation

research ideas in three research lines: tactile sensing, skill learning and dexterous control. The book introduces recent work about human;

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Adaptive Learning and the Human Condition

adaptive learning, principles of adaptive learning (prediction and control), adaptive learning and the human condition, and behavior modification;

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Adaptive Learning and the Human Condition

adaptive learning, principles of adaptive learning (prediction and control), adaptive learning and the human condition, and behavior modification;

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Adaptive Approximation Based Control

A highly accessible and unified approach to the design and analysis of intelligent control systems Adaptive Approximation Based Control;

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Adaptive Control Design And Analysis

A systematic and unified presentation of the fundamentals of adaptive control theory in both continuous time and discrete time Today;

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