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Item Details
Title: ROBOT MANIPULATOR CONTROL
THEORY AND PRACTICE
By: Frank L. Lewis, Darren M. Dawson, Chaouki T. Abdallah
Format: Hardback

List price: £185.00
Our price: £166.50
Discount:
10% off
You save: £18.50
ISBN 10: 0824740726
ISBN 13: 9780824740726
Availability: Usually dispatched within 1-3 weeks.
 Delivery rates
Stock: Currently 0 available
Publisher: TAYLOR & FRANCIS INC
Pub. date: 12 December, 2003
Edition: 2nd Revised edition
Series: Automation and Control Engineering 15
Pages: 638
Description: Offers a survey of control systems for serial-link robot arms and acknowledges how robotic device performance hinges upon a well-developed control system. This book explicates theoretical and mathematical requisites for controls design and summarizes techniques in computer simulation and implementation of controllers.
Synopsis: Robot Manipulator Control offers a complete survey of control systems for serial-link robot arms and acknowledges how robotic device performance hinges upon a well-developed control system. Containing over 750 essential equations, this thoroughly up-to-date Second Edition, the book explicates theoretical and mathematical requisites for controls design and summarizes current techniques in computer simulation and implementation of controllers. It also addresses procedures and issues in computed-torque, robust, adaptive, neural network, and force control. New chapters relay practical information on commercial robot manipulators and devices and cutting-edge methods in neural network control.
Illustrations: 1, black & white illustrations
Publication: US
Imprint: Marcel Dekker Inc
Returns: Returnable
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COOPERATIVE CONTROL OF MULTI-AGENT SYSTEMS (PB)
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COOPERATIVE SYNCHRONIZATION IN DISTRIBUTED MICROGRID CONTROL (PB)
DETERMINISTIC LEARNING THEORY FOR IDENTIFICATION, RECOGNITION, AND CONTROL (HB)
HIGH-LEVEL FEEDBACK CONTROL WITH NEURAL NETWORKS (HB)
INTEGRAL AND INVERSE REINFORCEMENT LEARNING FOR OPTIMAL CONTROL SYSTEMS AND GAMES (HB)
INTELLIGENT DIAGNOSIS AND PROGNOSIS OF INDUSTRIAL NETWORKED SYSTEMS
INTELLIGENT DIAGNOSIS AND PROGNOSIS OF INDUSTRIAL NETWORKED SYSTEMS (HB)
INTELLIGENT DIAGNOSIS AND PROGNOSIS OF INDUSTRIAL NETWORKED SYSTEMS (PB)
INTELLIGENT FAULT DIAGNOSIS AND PROGNOSIS FOR ENGINEERING SYSTEMS
INTELLIGENT FAULT DIAGNOSIS AND PROGNOSIS FOR ENGINEERING SYSTEMS (HB)
INTERNET NAMING AND DISCOVERY (HB)
INTERNET NAMING AND DISCOVERY (PB)
LYAPUNOV-BASED CONTROL OF MECHANICAL SYSTEMS (PB)
LYAPUNOV-BASED CONTROL OF ROBOTIC SYSTEMS
LYAPUNOV-BASED CONTROL OF ROBOTIC SYSTEMS
LYAPUNOV-BASED CONTROL OF ROBOTIC SYSTEMS (HB)
MANUFACTURING SYSTEMS CONTROL DESIGN (HB)
MANUFACTURING SYSTEMS CONTROL DESIGN (PB)
NEURAL NETWORK CONTROL OF ROBOTS AND NONLINEAR SYSTEMS (HB)
NEURO-FUZZY CONTROL OF INDUSTRIAL SYSTEMS WITH ACTUATOR NONLINEARITIES (HB)
NONLINEAR CONTROL OF ELECTRIC MACHINERY (HB)
NONLINEAR CONTROL OF ENGINEERING SYSTEMS (HB)
NONLINEAR CONTROL OF ENGINEERING SYSTEMS (PB)
NONLINEAR CONTROL OF WHEELED MOBILE ROBOTS (PB)
NONLINEAR H2/H-INFINITY CONSTRAINED FEEDBACK CONTROL (HB)
NONLINEAR H2/H-INFINITY CONSTRAINED FEEDBACK CONTROL (PB)
OPTIMAL ADAPTIVE CONTROL AND DIFFERENTIAL GAMES BY REINFORCEMENT LEARNING PRINCIPLES
OPTIMAL ADAPTIVE CONTROL AND DIFFERENTIAL GAMES BY REINFORCEMENT LEARNING PRINCIPLES (HB)
OPTIMAL AND ROBUST ESTIMATION
OPTIMAL AND ROBUST ESTIMATION (HB)
OPTIMAL CONTROL
OPTIMAL CONTROL
OPTIMAL CONTROL
OPTIMAL CONTROL
OPTIMAL CONTROL (HB)
OPTIMAL CONTROL (PB)
REINFORCEMENT LEARNING (HB)
REINFORCEMENT LEARNING AND APPROXIMATE DYNAMIC PROGRAMMING FOR FEEDBACK CONTROL
REINFORCEMENT LEARNING AND APPROXIMATE DYNAMIC PROGRAMMING FOR FEEDBACK CONTROL
REINFORCEMENT LEARNING AND APPROXIMATE DYNAMIC PROGRAMMING FOR FEEDBACK CONTROL
REINFORCEMENT LEARNING AND APPROXIMATE DYNAMIC PROGRAMMING FOR FEEDBACK CONTROL
REINFORCEMENT LEARNING AND APPROXIMATE DYNAMIC PROGRAMMING FOR FEEDBACK CONTROL (HB)
ROBOT MANIPULATOR CONTROL
ROBOT MANIPULATOR CONTROL
ROBOT MANIPULATOR CONTROL
ROBOT MANIPULATOR CONTROL
ROBOT MANIPULATOR CONTROL
ROBOT MANIPULATOR CONTROL
ROBOT MANIPULATOR CONTROL

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