I-Tech Education and Publishing, 2008. — viii, 388 p. — ISBN 978-3-902613-41-7.
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.
Also, the lecturer can find some of the new methodologies applied to solve complex problems in the field of control and robotic research fields. Moreover, this book can serve as a good information source for scientific scholars, engineers and beginners who would like to start working with both automation and robotic areas. Combining the ideas of the diverse disciplines involved in such areas, this book give hints and help about how to implement them on products for industrial automation and robotics applications.
Tracking Control for Multiple Trailer Systems by Adaptive Algorithmic Control.
Enhanced Motion Control Concepts on Parallel Robots.
Vision Guided Robot Gripping Systems.
Closed-Loop Feedback Systems in Automation and Robotics, Adaptive and Partial Stabilization.
Nonlinear Control Law for Nonholonomic Balancing Robot.
Deghosting Methods for Track-Before-Detect Multitarget Multisensor Algorithms.
Identification of Dynamic Systems & Selection of Suitable Model.
Towards an Automated and Optimal Design of Parallel Manipulators.
Identification of Continuous-Time Systems with Time Delays by Global Optimization Algorithms and Ant Colony Optimization.
Linear Lyapunov Cone-Systems.
Pneumatic Fuzzy Controller Simulation vs Practical Results for Flexible Manipulator.
Nonlinear Control Strategies for Bioprocesses: Sliding Mode Control versus Vibrational Control.
Sliding Mode Observers for Rotational Robotics Structures.
A Declarative Framework for Constrained Search Problems in Manufacturing.
Derivation and Calculation of the Dynamics of Elastic Parallel Manipulators.
Orthonormal Basis and Radial Basis Functions in Modeling and Identification of Nonlinear Block-Oriented Systems.
Control System of Underwater Vehicle Based on Artificial Intelligence Methods.
Automatization of Decision Processes in Conflict Situations: Modelling, Simulation and Optimization.
Fuzzy Knowledge Representation Using Probability Measures of Fuzzy Events.
Multiple Multi-Objective Servo Design - Evolutionary Approach.
Model-Based Control of a Nonlinear One Dimensional Magnetic Levitation with a Permanent-Magnet Object.
Nonlinear Adaptive Tracking-Control Synthesis for General Linearly Parametrized Systems.