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Neural Adaptive Control Technology World Scientific Robotics and Intelligent Systems
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World Scientific Series in Robotics and Intelligent Systems ~ Volume 19-Adaptive Neural Network Control of Robotic Manipulators; Volume 18-Soft Computing in Systems and Control Technology. Edited By: S G Tzafestas (National Technical University of Athens) Volume 17-Applications of Neural Adaptive Control Technology. Edited By: Jens Kalkkuhl (Daimler-Benz AG) and ; Kenneth J Hunt (Daimler-Benz AG) By (author):
Neural adaptive control technology (Book, 1996) [WorldCat] ~ Get this from a library! Neural adaptive control technology. [R Żbikowski; K J Hunt;] -- This book is an outgrowth of the workshop on Neural Adaptive Control Technology, NACT I, held in 1995 in Glasgow. Selected workshop participants were asked to substantially expand and revise their .
Adaptive Neural Network Control of - World Scientific ~ This book is dedicated to issues on adaptive control of robots based on neural networks. The text has been carefully tailored to (i) give a comprehensive study of robot dynamics, (ii) present structured network models for robots, and (iii) provide systematic approaches for neural network based adaptive controller design for rigid robots .
Adaptive Neural Network Control of Robotic Manipulators ~ Yildirim Ş, Erkaya S, Uzmay İ and Kalkat M A neural based position controller for an electrohydraulic servo system Proceedings of the 11th WSEAS international conference on robotics, control and manufacturing technology, and 11th WSEAS international conference on Multimedia systems & signal processing, (31-38)
Intelligent Control / World Scientific Series in Robotics ~ Intelligent Control or self-organising/learning control is a new emerging discipline that is designed to deal with problems. Rather than being model based, it is experiential based. Intelligent Control is the amalgam of the disciplines of Artificial Intelligence, Systems Theory and Operations Research.
(PDF) Robot Control Using Neural Networks With Adaptive ~ An intelligent industrial robot is a remarkably useful combination of a manipulator, sensors and controls. The use of these machines in factory automation can improve productivity, increase .
Download Biomimetic Neural Learning for Intelligent Robots ~ Download Biomimetic Neural Learning for Intelligent Robots: Intelligent Systems Cognitive Robotics
Free Robotics (Academic) Books & eBooks - Download PDF ~ A paper that addresses the sliding mode control (SMC) of n-link robot manipulators by using of intelligent methods including fuzzy logic and neural network strategies. Three control strategies were used. In the first was the design of a sliding mode control with a PID loop for robot manipulator.
Adaptive Neural Tracking Control of Robotic Manipulators ~ S. S. Ge, T. H. Lee, and C. J. Harris, Adaptive Neural Network Control of Robotic Manipulators, World Scientific, 1998. View at: Publisher Site J. Na, G. Herrmann, and X. Ren, “Neural network control of nonlinear time-delay system with unknown dead-zone and its application to a robotic servo system,” in Trends in Intelligent Robotics.
Applications of neural adaptive control technology (Book ~ Get this from a library! Applications of neural adaptive control technology. [Jens Kalkkuhl;] -- This book presents the results of the second workshop on Neural Adaptive Control Technology, NACT II, held on September 9-10, 1996, in Berlin. The workshop was organised in connection with a .
(PDF) Adaptive neural network control for robotic ~ Neural network adaptive robust control (ARC) design is generalized to synthesize performance oriented control laws for a class of nonlinear systems in semi-strict feedback forms through the .
Adaptive Neural Network Control of Robotic Manipulators ~ Adaptive Neural Network Control of Robotic Manipulators (World Scientific Robotics and Intelligent Systems) [Ge, Sam Shuzhi, Harris, Christopher J, Lee, Tong Heng] on . *FREE* shipping on qualifying offers. Adaptive Neural Network Control of Robotic Manipulators (World Scientific Robotics and Intelligent Systems)
Neural Network Control of a Rehabilitation Robot by State ~ In this paper, neural network control is presented for a rehabilitation robot with unknown system dynamics. To deal with the system uncertainties and improve the system robustness, adaptive neural networks are used to approximate the unknown model of the robot and adapt interactions between the robot and the patient. Both full state feedback control and output feedback control are considered .
Adaptive neural controller for space robot system with an ~ In this paper, an adaptive neural network-based controller is proposed for a space robot system with an attitude controlled base without joint acceleration measurements and in the presence of parametric uncertainties and external disturbances. Based on the dynamic model, a neural network-based controller is proposed that achieves the required tracking effectively.
HANDBOOK OF INTELLIGENT CONTROL - Welcome to the Werbos World ~ .Direct inverse control, where neural nets directly learn the mapping from desired trajectories (e.g., of a robot arm) to the control signals which yield these trajectories (e.g., joint angles) [1,2] .Neural adaptive control, where neural nets are used instead of linear mappings in standard adaptive control (see Chapter 5)
HANDBOOK OF INTELLIGENT CONTROL - Welcome to the Werbos World ~ Traditionally, intelligent control has embraced classical control theory, neural networks, fuzzy logic, classical AI, and a wide variety of search techniques (such as genetic algorithms and others). This book draws on all five areas, but more emphasis has been placed on the first three.
Adaptive neural network control of robotic manipulators ~ Get this from a library! Adaptive neural network control of robotic manipulators. [S S Ge; Tong Heng Lee; C J Harris] -- Recently, there has been considerable research interest in neural network control of robots, and satisfactory results have been obtained in solving some of the special issues associated with the .
Intelligent Optimal Design of CMAC Neural Network for ~ Cite this chapter as: Kim Y.H., Lewis F.L. (1998) Intelligent Optimal Design of CMAC Neural Network for Robot Manipulators. In: Jain L.C., Fukuda T. (eds) Soft Computing for Intelligent Robotic Systems.
(PDF) Trajectory following control of robotic manipulators ~ Artificial Neural Network (ANN) based control algorithms have been successfully applied for the tracking control of nonlinear systems with unknown or changing dynamics [1, 2, 3].
Recent advances on dynamic learning from adaptive NN control ~ Her current research interests include intelligent control, dynamic learning, robot control, and event-triggered control. Cong WANG received the B.E. and M.E. degrees from Beijing University of Aeronautic & Astronautics in 1989 and 1997, respectively, and the Ph.D. degree from the Department of Electrical & Computer Engineering, National .
(PDF) Mobile Robots Adaptive Control Using Neural Networks ~ Dumitrache, I., Monica Drãgoicea, Mobile Robots Adaptive Control Using Neural Networks. Proceedings of the 13th Int. Conference on Control Systems and Computer Science CSCS13, Bucuresti, Romania .
Adaptive Neural-Network Control of Mobile Robot Formations ~ This control law was designed by backstepping technique based on formation control structure of leader-follower. The RBFNN was adopted to achieve on-line estimation for the dynamics nonlinear uncertain part for follower and leader robots. The adaptive robust controller was adopted to compensate modeling errors of neural network.
Robust adaptive neuro-fuzzy control of uncertain ~ He edited a book Autonomous Mobile Robots: Sensing, Control, Decision Making and Applications (New York: Taylor and Francis, 2006), and published over 300 international journal and conference papers. His current research interests include social robotics, multimedia fusion, adaptive control, and intelligent systems.
