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Robotics Automation and Control
Edited by Pavla Pecherkova, Miroslav Flidr and Jindrich Dunik, ISBN 978-953-7619-18-3, Hard cover, 494 pages, Publisher: InTech, Published: October 01, 2008 under CC BY-NC-SA 3.0 license, in subject Robotics and Automation
DOI: 10.5772/70
This book was conceived as a gathering place of new ideas from academia, industry, research and practice in the fields of robotics, automation and control. The aim of the book was to point out interactions among various fields of interests in spite of diversity and narrow specializations which prevail in the current research. The common denominator of all included chapters appears to be a synergy of various specializations. This synergy yields deeper understanding of the treated problems. Each new approach applied to a particular problem can enrich and inspire improvements of already established approaches to the problem.
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Book contents
- Chapter 1Multi-Domain Modelling and Control in Mechatronics: the Case of Common Rail Injection Systems
- Chapter 2Time-Frequency Representation of Signals Using Kalman Filter
- Chapter 3Discrete-Event Dynamic Systems Modelling Distributed Multi-Agent Control of Intermodal Container Terminals
- Chapter 4Inclusion of Expert Rules into Normalized Management Models for Description of MIB Structure
- Chapter 5Robust and Active Trajectory Tracking for an Autonomous Helicopter under Wind Gust
- Chapter 6An Artificial Neural Network Based Learning Method for Mobile Robot Localization
- Chapter 7The Identification of Models of External Loads
- Chapter 8Environment Modelling with an Autonomous Mobile Robot for Cultural Heritage Preservation and Remote Access
- Chapter 9On-line Cutting Tool Condition Monitoring in Machining Processes Using Artificial Intelligence
- Chapter 10Controlled Use of Subgoals in Reinforcement Learning
- Chapter 11Fault Detection Algorithm Based on Filters Bank Derived from Wavelet Packets
- Chapter 12Pareto Optimum Design of Robust Controllers for Systems with Parametric Uncertainties
- Chapter 13Genetic Reinforcement Learning Algorithms for On-line Fuzzy Inference System Tuning "Application to Mobile Robotic"
- Chapter 14Control of Redundant Submarine Robot Arms under Holonomic Constraints
- Chapter 15Predictive Control with Local Visual Data
- Chapter 16New Trends in Evaluation of the Sensors Output
- Chapter 17Modelling and Simultaneous Estimation of State and Parameters of Traffic System
- Chapter 18A Human Factors Approach to Supervisory Control Interface Improvement
- Chapter 19An Approach to Tune PID Fuzzy Logic Controllers Based on Reinforcement Learning
- Chapter 20Autonomous Robot Navigation Using Flatness-based Control and Multi-Sensor Fusion
- Chapter 21An Improved Real-Time Particle Filter for Robot Localization
- Chapter 22Dependability of Autonomous Mobile Systems
- Chapter 23Model-free Subspace Based Dynamic Control of Mechanical Manipulators
- Chapter 24The Verification of Temporal KBS: SPARSE - A Case Study in Power Systems

