Decentralized Neural Control Application To Robotics
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Decentralized Neural Control Application To Robotics
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Author : Ramon Garcia-Hernandez
language : en
Publisher: Springer
Release Date : 2017-02-05
Decentralized Neural Control Application To Robotics written by Ramon Garcia-Hernandez and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-02-05 with Technology & Engineering categories.
This book provides a decentralized approach for the identification and control of robotics systems. It also presents recent research in decentralized neural control and includes applications to robotics. Decentralized control is free from difficulties due to complexity in design, debugging, data gathering and storage requirements, making it preferable for interconnected systems. Furthermore, as opposed to the centralized approach, it can be implemented with parallel processors. This approach deals with four decentralized control schemes, which are able to identify the robot dynamics. The training of each neural network is performed on-line using an extended Kalman filter (EKF). The first indirect decentralized control scheme applies the discrete-time block control approach, to formulate a nonlinear sliding manifold. The second direct decentralized neural control scheme is based on the backstepping technique, approximated by a high order neural network. The third control scheme applies a decentralized neural inverse optimal control for stabilization. The fourth decentralized neural inverse optimal control is designed for trajectory tracking. This comprehensive work on decentralized control of robot manipulators and mobile robots is intended for professors, students and professionals wanting to understand and apply advanced knowledge in their field of work.
Sensor Fusion And Decentralized Control In Robotic Systems
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Author :
language : en
Publisher:
Release Date : 2001
Sensor Fusion And Decentralized Control In Robotic Systems written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Autonomous robots categories.
Artificial Neural Networks For Engineering Applications
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Author : Alma Y. Alanis
language : en
Publisher: Academic Press
Release Date : 2019-03-15
Artificial Neural Networks For Engineering Applications written by Alma Y. Alanis and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-15 with Science categories.
Artificial Neural Networks for Engineering Applications presents current trends for the solution of complex engineering problems that cannot be solved through conventional methods. The proposed methodologies can be applied to modeling, pattern recognition, classification, forecasting, estimation, and more. Readers will find different methodologies to solve various problems, including complex nonlinear systems, cellular computational networks, waste water treatment, attack detection on cyber-physical systems, control of UAVs, biomechanical and biomedical systems, time series forecasting, biofuels, and more. Besides the real-time implementations, the book contains all the theory required to use the proposed methodologies for different applications. Presents the current trends for the solution of complex engineering problems that cannot be solved through conventional methods Includes real-life scenarios where a wide range of artificial neural network architectures can be used to solve the problems encountered in engineering Contains all the theory required to use the proposed methodologies for different applications
Decentralized Estimation And Control For Multisensor Systems
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Author : Arthur G.O. Mutambara
language : en
Publisher: Routledge
Release Date : 2019-05-20
Decentralized Estimation And Control For Multisensor Systems written by Arthur G.O. Mutambara and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-20 with Technology & Engineering categories.
Decentralized Estimation and Control for Multisensor Systems explores the problem of developing scalable, decentralized estimation and control algorithms for linear and nonlinear multisensor systems. Such algorithms have extensive applications in modular robotics and complex or large scale systems, including the Mars Rover, the Mir station, and Space Shuttle Columbia. Most existing algorithms use some form of hierarchical or centralized structure for data gathering and processing. In contrast, in a fully decentralized system, all information is processed locally. A decentralized data fusion system includes a network of sensor nodes - each with its own processing facility, which together do not require any central processing or central communication facility. Only node-to-node communication and local system knowledge are permitted. Algorithms for decentralized data fusion systems based on the linear information filter have been developed, obtaining decentrally the same results as those in a conventional centralized data fusion system. However, these algorithms are limited, indicating that existing decentralized data fusion algorithms have limited scalability and are wasteful of communications and computation resources. Decentralized Estimation and Control for Multisensor Systems aims to remove current limitations in decentralized data fusion algorithms and to extend the decentralized principle to problems involving local control and actuation. The text discusses: Generalizing the linear Information filter to the problem of estimation for nonlinear systems Developing a decentralized form of the algorithm Solving the problem of fully connected topologies by using generalized model distribution where the nodal system involves only locally relevant states Reducing computational requirements by using smaller local model sizes Defining internodal communication Developing estima
Computational Intelligence
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Author : Kurosh Madani
language : en
Publisher: Springer
Release Date : 2012-12-22
Computational Intelligence written by Kurosh Madani and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-22 with Technology & Engineering categories.
The present book includes a set of selected extended papers from the third International Joint Conference on Computational Intelligence (IJCCI 2011), held in Paris, France, from 24 to 26 October 2011. The conference was composed of three co-located conferences: The International Conference on Fuzzy Computation (ICFC), the International Conference on Evolutionary Computation (ICEC), and the International Conference on Neural Computation (ICNC). Recent progresses in scientific developments and applications in these three areas are reported in this book. IJCCI received 283 submissions, from 59 countries, in all continents. This book includes the revised and extended versions of a strict selection of the best papers presented at the conference.
Adaptive Neural Network Control Of Robotic Manipulators
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Author : Tong Heng Lee
language : en
Publisher: World Scientific
Release Date : 1998
Adaptive Neural Network Control Of Robotic Manipulators written by Tong Heng Lee and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with categories.
Introduction; Mathematical background; Dynamic modelling of robots; Structured network modelling of robots; Adaptive neural network control of robots; Neural network model reference adaptive control; Flexible joint robots; task space and force control; Bibliography; Computer simulation; Simulation software in C.
Sensor Fusion And Decentralized Control In Robotic Systems Ii
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Author : G. T. McKee
language : en
Publisher: SPIE-International Society for Optical Engineering
Release Date : 1999
Sensor Fusion And Decentralized Control In Robotic Systems Ii written by G. T. McKee and has been published by SPIE-International Society for Optical Engineering this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with Technology & Engineering categories.
This work presents a series of papers examining various aspects of sensor fusion and decentralized control in robotic systems.
Neural Networks For Cooperative Control Of Multiple Robot Arms
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Author : Shuai Li
language : en
Publisher: Springer
Release Date : 2017-10-29
Neural Networks For Cooperative Control Of Multiple Robot Arms written by Shuai Li and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-10-29 with Technology & Engineering categories.
This is the first book to focus on solving cooperative control problems of multiple robot arms using different centralized or distributed neural network models, presenting methods and algorithms together with the corresponding theoretical analysis and simulated examples. It is intended for graduate students and academic and industrial researchers in the field of control, robotics, neural networks, simulation and modelling.
Neural Network Control Of Robot Manipulators And Non Linear Systems
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Author : F W Lewis
language : en
Publisher: CRC Press
Release Date : 1998-11-30
Neural Network Control Of Robot Manipulators And Non Linear Systems written by F W Lewis and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998-11-30 with Technology & Engineering categories.
There has been great interest in "universal controllers" that mimic the functions of human processes to learn about the systems they are controlling on-line so that performance improves automatically. Neural network controllers are derived for robot manipulators in a variety of applications including position control, force control, link flexibility stabilization and the management of high-frequency joint and motor dynamics. The first chapter provides a background on neural networks and the second on dynamical systems and control. Chapter three introduces the robot control problem and standard techniques such as torque, adaptive and robust control. Subsequent chapters give design techniques and Stability Proofs For NN Controllers For Robot Arms, Practical Robotic systems with high frequency vibratory modes, force control and a general class of non-linear systems. The last chapters are devoted to discrete- time NN controllers. Throughout the text, worked examples are provided.
Neural Networks For Control
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Author : W. Thomas Miller
language : en
Publisher: MIT Press
Release Date : 1995
Neural Networks For Control written by W. Thomas Miller and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Computers categories.
Neural Networks for Control brings together examples of all the most important paradigms for the application of neural networks to robotics and control. Primarily concerned with engineering problems and approaches to their solution through neurocomputing systems, the book is divided into three sections: general principles, motion control, and applications domains (with evaluations of the possible applications by experts in the applications areas.) Special emphasis is placed on designs based on optimization or reinforcement, which will become increasingly important as researchers address more complex engineering challenges or real biological-control problems.A Bradford Book. Neural Network Modeling and Connectionism series