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Neural Networks for Cooperative Control of Multiple Robot Arms

is intended for graduate students and academic and industrial researchers in the field of control, robotics, neural networks, simulation and modelling.;

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Kinematic Control of Redundant Robot Arms Using Neural Networks

. Kinematic Control of Redundant Robot Arms Using Neural Networks is divided into three parts: Neural Networks for Serial Robot Arm Control; Neural;

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Neural Network Control Of Robots And Nonlinear Systems

controlling on-line so that performance improves automatically. Neural network controllers are derived for robot manipulators in a variety;

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Robot Manipulator Control

Robot Manipulator Control offers a complete survey of control systems for serial-link robot arms and acknowledges how robotic device;

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Intelligent Force and Position Control of 6-DOF Robot Manipulator

, dynamic modeling of environment stiffness, controller design for free motion robot control, designing of multilayer FFB neural networks with;

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Robot Control using an Artificial Neural Network

Inhaltsangabe: Abstract: The aim of the project was to control three joints of an industrial robot in terms of its position, velocity and;

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Human-Robot Interaction Control Using Reinforcemen t Learning

identification techniques for parameter estimation. Human-Robot Interaction Control Using Reinforcement Learning offers rigorous mathematical;

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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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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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AI based Robot Safe Learning and Control

systems, the control strategies include adaptive tracking control for robots with model uncertainties, compliance control in uncertain;

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Embedded Robotics

in three parts, dealing with Embedded Systems (hardware and software design, actuators, sensors, PID control, multitasking), Mobile Robot Design;

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Embedded Robotics

in three parts, dealing with embedded systems (hardware and software design, actuators, sensors, PID control, multitasking), mobile robot design;

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Power Converters and Ac Electrical Drives With Linear Neural Networks

of neural networks in the field of power electronics, with particular emphasis on the sensorless control of AC drives. It presents the classical;

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Wheeled Mobile Robot Control

This book focuses on the development and methodologies of trajectory control of differential-drive wheeled nonholonomic mobile robots. The;

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Wheeled Mobile Robot Control

This book focuses on the development and methodologies of trajectory control of differential-drive wheeled nonholonomic mobile robots. The;

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Power Converters And Ac Electrical Drives With Linear Neural

of neural networks in the field of power electronics, with particular emphasis on the sensorless control of AC drives. It presents the classical;

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Cooperative Control of Distributed Multi-Agent Systems

The paradigm of 'multi-agent' cooperative control is the challenge frontier for new control system application domains, and as a research;

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Neural Networks and Analog Computation: Beyond the Turing Limit

graduate-level seminar in neural networks for computer science students.;

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Discrete-Time Recurrent Neural Control

The book presents recent advances in the theory of neural control for discrete-time nonlinear systems with multiple inputs and multiple;

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Discrete-Time Recurrent Neural Control

The book presents recent advances in the theory of neural control for discrete-time nonlinear systems with multiple inputs and multiple;

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Network Models for Control and Processing

This book provides a powerful tool for collecting and correlating related bodies of research in modelling control and processing;

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Focus on Artificial Neural Networks

of pharamceutical microemulsions; massive-training artificial neural networks for supervised enhancement/suppression of lesions/patterns in medical images;

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Neural Networks Modeling and Control

Neural Networks Modelling and Control: Applications for Unknown Nonlinear Delayed Systems in Discrete Time focuses on modeling and;

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Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms

basis for representing uncertain and imprecise knowledge and forms a basis for human reasoning. Neural networks display genuine promise;

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Neural Networks & Fuzzy-Logic Control On Personal Computers & Workstations + D3

Most neural-network programs for personal computers and engineering workstations simply control a fixed set of canned network-layer;

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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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Distributed Cooperative Control and Communication for Multi agent Systems

This book investigates distributed cooperative control and communication of MASs including linear systems, nonlinear systems and multiple;

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