Technology & Engineering

Modeling, Identification and Control of Robots

Author: W. Khalil

Publisher: Butterworth-Heinemann

ISBN:

Category: Technology & Engineering

Page: 500

View: 450

Written by two of Europe’s leading robotics experts, this book provides the tools for a unified approach to the modelling of robotic manipulators, whatever their mechanical structure. No other publication covers the three fundamental issues of robotics: modelling, identification and control. It covers the development of various mathematical models required for the control and simulation of robots. · World class authority · Unique range of coverage not available in any other book · Provides a complete course on robotic control at an undergraduate and graduate level
Technology & Engineering

Modeling, Identification and Control of Robots

Author: Wisama Khalil

Publisher: Kogan Page Publishers

ISBN:

Category: Technology & Engineering

Page: 480

View: 902

This unique book, written by two of Europes leading robotic experts, provides a unified approach to the modeling of robotic manipulators, whatever their mechanical structure. No other publication covers the three fundamental issues of robotics modeling, identification and control. The control and simulation of robots require the development of various mathematical models, and the tools presented in this book allow a unified approach, whatever the structure. World class authority Unique range of coverage not available in any other book Provides a complete course on robotic control at an undergraduate and graduate level
Technology & Engineering

Kinematic Modeling, Identification, and Control of Robotic Manipulators

Author: Henry W. Stone

Publisher: Springer Science & Business Media

ISBN:

Category: Technology & Engineering

Page: 224

View: 641

The objective of this dissertation is to advance the state-of-the-art in the kinematic modeling, identification, and control of robotic manipulators with rigid links in an effort to improve robot kinematic performance. The positioning accuracy of commercially-available industrial robotic manipulators depends upon a kinematic model which describes the robot geometry in a parametric form. Manufacturing error in the machining and assembly of manipulators lead to discrepancies between the design parameters and the physical structure. Improving the kinematic perfor mance thus requires the identification of the actual kinematic parameters of each individual robot. The identified kinematic parameters are referred to as the arm signature. Existing robot kinematic models, such as the Denavit-Hartenberg model, are not directly applicable to kinematic parameter identification. In this dissertation we introduce a new kinematic model, called the 5-Model, which is applicable to kinematic parameter identification, and use it as the foundation for our development of a general technique for identifying the kinematic parameters of any robot with rigid links.
Technology & Engineering

Modeling, Identification and Control of Robots

Author: Wisama Khalil

Publisher: Butterworth-Heinemann

ISBN:

Category: Technology & Engineering

Page: 480

View: 844

This unique book, written by two of Europe's leading robotic experts, provides a unified approach to the modeling of robotic manipulators, whatever their mechanical structure. No other publication covers the three fundamental issues of robotics modeling, identification and control. The control and simulation of robots require the development of various mathematical models, and the tools presented in this book allow a unified approach, whatever the structure. World class authority Unique range of coverage not available in any other book Provides a complete course on robotic control at an undergraduate and graduate level
Technology & Engineering

Hydraulic Servo-systems

Author: Mohieddine Jelali

Publisher: Springer Science & Business Media

ISBN:

Category: Technology & Engineering

Page: 355

View: 378

This up-to-date book details the basic concepts of many recent developments of nonlinear identification and nonlinear control, and their application to hydraulic servo-systems. It is very application-oriented and provides the reader with detailed working procedures and hints for implementation routines and software tools.
Structural control (Engineering)

Identification, Control and Optimisation of Engineering Structures

Author: Guido Roeck

Publisher:

ISBN:

Category: Structural control (Engineering)

Page: 168

View: 542

Contains a selection of papers that were presented at The Fifth International Conference on Computational Structures Technology and The Second International Conference on Engineering Computational Technology, which were held in Leuven, Belgium from 6-8 September 2000.
Technology & Engineering

Fundamentals of Manipulator Calibration

Author: Benjamin W. Mooring

Publisher: Wiley-Interscience

ISBN:

Category: Technology & Engineering

Page: 329

View: 151

Describes the details of the calibration process step-by-step, covering systems modeling, measurement, identification, correction and performance evaluation. Calibration techniques are presented with an explanation of how they interact with each other as they are modified. Shows the reader how to determine if, in fact, a robot problem is a calibration problem and then how to analyze it.
Automatic control

Robotics Research, 1990

Author: American Society of Mechanical Engineers. Winter Meeting

Publisher: American Society of Mechanical Engineers

ISBN:

Category: Automatic control

Page: 247

View: 400

Technology & Engineering

Proceedings of the 11th International Conference on Modelling, Identification and Control (ICMIC2019)

Author: Rui Wang

Publisher: Springer Nature

ISBN:

Category: Technology & Engineering

Page: 1387

View: 277

This book includes original, peer-reviewed research papers from the 11th International Conference on Modelling, Identification and Control (ICMIC2019), held in Tianjin, China on July 13-15, 2019. The topics covered include but are not limited to: System Identification, Linear/Nonlinear Control Systems, Data-driven Modelling and Control, Process Modelling and Process Control, Fault Diagnosis and Reliable Control, Intelligent Systems, and Machine Learning and Artificial Intelligence.The papers showcased here share the latest findings on methodologies, algorithms and applications in modelling, identification, and control, integrated with Artificial Intelligence (AI), making the book a valuable asset for researchers, engineers, and university students alike.