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Adaptive Neural Control of Walking Robots

An important title in the Engineering Research Series Adaptive Neural Control of Walking Robots brings together two important areas;

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Radial Basis Function (RBF) Neural Network Control for Mechanical Systems

Radial Basis Function (RBF) Neural Network Control for Mechanical Systems is motivated by the need for systematic design approaches to;

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Bipedal Robots

walking patterns are considered, such as passive walking and gait synthesis performed using optimization technique. Control based on the robot;

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Climbing And Walking Robots

systems; control architecture and simulation; control approaches; crawling locomotion; multi-legged walking; biped locomotion; climbing; and;

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Embedded Robotics

(driving, balancing, walking, and flying robots), and Mobile Robot Applications (mapping, robot soccer, genetic algorithms, neural networks;

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Embedded Robotics

(driving, balancing, walking, and flying robots), and mobile robot applications (mapping, robot soccer, genetic algorithms, neural networks;

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Neural Network Control Of Robots And Nonlinear Systems

. The first chapter provides a background on neural networks and the second on dynamical systems and control. Chapter three introduces the robot;

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Neural Network-Based Adaptive Control of Uncertain Nonlinear Systems

historical overview of adaptive control, followed by a review of mathematical preliminaries. In the subsequent chapters, they present several neural;

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Evolution and Analysis of Neuromorphic Flapping Wing Flight Control

Evolvable Hardware Continuous Time Recurrent Neural Networks (CTRNNs) as applied to adaptive control of walking in legged robots suggests that;

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Neural Networks for Robotics

, control, sensing, planning, and other techniques by means of artificial neural networks for robotics.;

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Neural Networks for Robotics

The book offers an insight on artificial neural networks for giving a robot a high level of autonomous tasks, such as navigation, cost;

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Mobile Service Robotics

Interest in control of climbing and walking robots has remarkably increased over the years. Novel solutions of complex mechanical systems;

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Intelligent Control Systems

machines or controlling equipment. These systems utilize fuzzy logic, neural networks, and fuzzy neural networks in principle. Adaptive controls;

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Adaptive Sliding Mode Neural Network Control for Nonlinear Systems

Adaptive Sliding Mode Neural Network Control for Nonlinear Systems introduces nonlinear systems basic knowledge, analysis and control;

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Robust Adaptive Control for Fractional-Order Systems with Disturbance and Saturation

; disturbance observer based neural control for an uncertain fractional-order rotational mechanical system; adaptive neural tracking control for;

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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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Artificial Intelligence in Real-Time Control 1998

of very positive developments in the topical area of 'Intelligent Control'. In particular, the area referred to as 'situated control' has;

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Adaptive Robust Control for Planar Snake Robots

This book shows how a conventional multi-layered approach can be used to control a snake robot on a desired path while moving on a flat;

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Adaptive Robust Control for Planar Snake Robots

This book shows how a conventional multi-layered approach can be used to control a snake robot on a desired path while moving on a flat;

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Intelligent Adaptive Control: Industrial Applications

application of intelligent control, particularly employing fuzzy logic, neural networks, and evolutionary computing.;

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Neural Network Control of Nonlinear Discrete-Time Systems

neural networks offer a combination of adaptability, parallel processing, and learning capabilities that outperform other intelligent control;

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Stability and Synchronization Control of Stochastic Neural Networks

synchronization control. The book will be of interest to university researchers, graduate students in control science and engineering and neural networks;

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Stability and Synchronization Control of Stochastic Neural Networks

synchronization control. The book will be of interest to university researchers, graduate students in control science and engineering and neural networks;

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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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Modern Perspectives of Mobile Robot Systems

elaborative information regarding independent mobile robot Emmy III and KCLBOT. The book also discusses walking support robots, leg-wheel mechanism as;

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Print Proceedings of the ASME 2015 Dynamic Systems and Control Conference (DSCC2015)

Printed collection on 94 full-length, peer reviewed technical papers. Topics include: Adaptive and Intelligent Systems 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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