Motion Control of Underactuated Mechanical Systems

This volume is the first to present a unified perspective on the control of underactuated mechanical systems. Based on real-time implementation of parameter identification, this book provides a variety of algorithms for the Furuta pendulum and the inertia wheel pendulum, which are two-degrees-of-freedom mechanical systems. Specifically, this work addresses and solves the problem of motion control via trajectory tracking in one joint coordinate while another joint is regulated. Besides, discussions on extensions to higher degrees-of-freedom systems are given. The book, aimed at control engineers as well as graduate students, ranges from the problem of parameter identification of the studied systems to the practical implementation of sophisticated motion control algorithms. Offering real-world solutions to manage the control of underactuated systems, this book provides a concise tutorial on recent breakthroughs in the field, original procedures to achieve bounding of the error trajectories, convergence and gain tuning guidelines.  

1133678746
Motion Control of Underactuated Mechanical Systems

This volume is the first to present a unified perspective on the control of underactuated mechanical systems. Based on real-time implementation of parameter identification, this book provides a variety of algorithms for the Furuta pendulum and the inertia wheel pendulum, which are two-degrees-of-freedom mechanical systems. Specifically, this work addresses and solves the problem of motion control via trajectory tracking in one joint coordinate while another joint is regulated. Besides, discussions on extensions to higher degrees-of-freedom systems are given. The book, aimed at control engineers as well as graduate students, ranges from the problem of parameter identification of the studied systems to the practical implementation of sophisticated motion control algorithms. Offering real-world solutions to manage the control of underactuated systems, this book provides a concise tutorial on recent breakthroughs in the field, original procedures to achieve bounding of the error trajectories, convergence and gain tuning guidelines.  

99.0 In Stock
Motion Control of Underactuated Mechanical Systems

Motion Control of Underactuated Mechanical Systems

Motion Control of Underactuated Mechanical Systems

Motion Control of Underactuated Mechanical Systems

eBook1st ed. 2018 (1st ed. 2018)

$99.00 

Available on Compatible NOOK devices, the free NOOK App and in My Digital Library.
WANT A NOOK?  Explore Now

Related collections and offers


Overview

This volume is the first to present a unified perspective on the control of underactuated mechanical systems. Based on real-time implementation of parameter identification, this book provides a variety of algorithms for the Furuta pendulum and the inertia wheel pendulum, which are two-degrees-of-freedom mechanical systems. Specifically, this work addresses and solves the problem of motion control via trajectory tracking in one joint coordinate while another joint is regulated. Besides, discussions on extensions to higher degrees-of-freedom systems are given. The book, aimed at control engineers as well as graduate students, ranges from the problem of parameter identification of the studied systems to the practical implementation of sophisticated motion control algorithms. Offering real-world solutions to manage the control of underactuated systems, this book provides a concise tutorial on recent breakthroughs in the field, original procedures to achieve bounding of the error trajectories, convergence and gain tuning guidelines.  


Product Details

ISBN-13: 9783319583198
Publisher: Springer-Verlag New York, LLC
Publication date: 07/11/2017
Series: Intelligent Systems, Control and Automation: Science and Engineering , #88
Sold by: Barnes & Noble
Format: eBook
Pages: 223
File size: 6 MB

Table of Contents

Preface.- Notation and Acronyms.- 1. Introduction.- 2. Identification of underactuated mechanical systems.- 3. Feedback linearization controller for arm trajectory tracking of the Furuta pendulum.- 4. Adaptive neural network controller for arm trajectory tracking of the Furuta pendulum.- 5. Feedback linearization controller for wheel trajectory tracking of the inertia wheel pendulum.- 6. Adaptive controllers for pendulum trajectory tracking of the inertia wheel pendulum.- Appendices.- References.  

From the B&N Reads Blog

Customer Reviews