eBook - ePub
Neural Network Control Of Robot Manipulators And Non-Linear Systems
- 468 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
Neural Network Control Of Robot Manipulators And Non-Linear Systems
About this book
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.
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Yes, you can access Neural Network Control Of Robot Manipulators And Non-Linear Systems by F W Lewis,S. Jagannathan,A Yesildirak in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Civil Engineering. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Cover
- Half Title
- Title Page
- Copyright Page
- Contents
- List of Tables of Design Equations
- List of Figures
- Series Introduction
- Preface
- 1 Background on Neural Networks
- 2 Background on Dynamic Systems
- 3 Robot Dynamics and Control
- 4 Neural Network Robot Control
- 5 Neural Network Robot Control: Applications and Extensions
- 6 Neural Network Control of Nonlinear Systems
- 7 NN Control with Discrete-Time Tuning
- 8 Discrete-Time Feedback Linearization by Neural Networks
- 9 State Estimation Using Discrete-Time Neural Networks
- Index