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This book is indexed in
Robotics » Robotics and Automation
Automation and Robotics
Edited by Juan Manuel Ramos Arreguin, ISBN 978-3-902613-41-7, Hard cover, 388 pages, Publisher: I-Tech Education and Publishing, Chapters published May 01, 2008 under CC BY-NC-SA 3.0 license
In this book, a set of relevant, updated and selected papers in the field of automation and robotics are presented. These papers describe projects where topics of artificial intelligence, modeling and simulation process, target tracking algorithms, kinematic constraints of the closed loops, non-linear control, are used in advanced and recent research.
- Chapter 1
Tracking Control for Multiple Trailer Systems by Adaptive Algorithmic Control - Chapter 2 Enhanced Motion Control Concepts on Parallel Robots
- Chapter 3 Vision Guided Robot Gripping Systems
- Chapter 4 Closed-Loop Feedback Systems in Automation and Robotics, Adaptive and Partial Stabilization
- Chapter 5 Nonlinear Control Law for Nonholonomic Balancing Robot
- Chapter 6 Deghosting Methods for Track-Before-Detect Multitarget Multisensor Algorithms
- Chapter 7 Identification of Dynamic Systems & Selection of Suitable Model
- Chapter 8 Towards an Automated and Optimal Design of Parallel Manipulators
- Chapter 9 Identification of Continuous-Time Systems with Time Delays by Global Optimization Algorithms and Ant Colony Optimization
- Chapter 10 Linear Lyapunov Cone-Systems
- Chapter 11 Pneumatic Fuzzy Controller Simulation vs Practical Results for Flexible Manipulator
- Chapter 12 Nonlinear Control Strategies for Bioprocesses: Sliding Mode Control versus Vibrational Control
- Chapter 13 Sliding Mode Observers for Rotational Robotics Structures
- Chapter 14 A Declarative Framework for Constrained Search Problems in Manufacturing
- Chapter 15 Derivation and Calculation of the Dynamics of Elastic Parallel Manipulators
- Chapter 16 Orthonormal Basis and Radial Basis Functions in Modeling and Identification of Nonlinear Block-Oriented Systems
- Chapter 17 Control System of Underwater Vehicle Based on Artificial Intelligence Methods
- Chapter 18 Automatization of Decision Processes in Conflict Situations: Modelling, Simulation and Optimization
- Chapter 19 Fuzzy Knowledge Representation Using Probability Measures of Fuzzy Events
- Chapter 20 Multiple Multi-Objective Servo Design - Evolutionary Approach
- Chapter 21 Model-Based Control of a Nonlinear One Dimensional Magnetic Levitation with a Permanent-Magnet Object
- Chapter 22 Nonlinear Adaptive Tracking-Control Synthesis for General Linearly Parametrized Systems