Robotics Automation and Control

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.

Book Description

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.

Table of Contents

• Multi-Domain Modelling and Control in Mechatronics: the Case of Common Rail Injection Systems
• Time-Frequency Representation of Signals Using Kalman Filter
• Discrete-Event Dynamic Systems Modelling Distributed Multi-Agent Control of Intermodal Container Terminals
• Inclusion of Expert Rules into Normalized Management Models for Description of MIB Structure
• Robust and Active Trajectory Tracking for an Autonomous Helicopter under Wind Gust
• An Artificial Neural Network Based Learning Method for Mobile Robot Localization
• The Identification of Models of External Loads
• Environment Modelling with an Autonomous Mobile Robot for Cultural Heritage Preservation and Remote Access
• On-line Cutting Tool Condition Monitoring in Machining Processes Using Artificial Intelligence
• Controlled Use of Subgoals in Reinforcement Learning
• Fault Detection Algorithm Based on Filters Bank Derived from Wavelet Packets
• Pareto Optimum Design of Robust Controllers for Systems with Parametric Uncertainties
• Genetic Reinforcement Learning Algorithms for On-line Fuzzy Inference System Tuning “Application to Mobile Robotic”
• Control of Redundant Submarine Robot Arms under Holonomic Constraints
• Predictive Control with Local Visual Data
• New Trends in Evaluation of the Sensors Output
• Modelling and Simultaneous Estimation of State and Parameters of Traffic System
• A Human Factors Approach to Supervisory Control Interface Improvement
• An Approach to Tune PID Fuzzy Logic Controllers Based on Reinforcement Learning
• Autonomous Robot Navigation Using Flatness-based Control and Multi-Sensor Fusion
• An Improved Real-Time Particle Filter for Robot Localization
• Dependability of Autonomous Mobile Systems
• Model-free Subspace Based Dynamic Control of Mechanical Manipulators
• The Verification of Temporal KBS: SPARSE – A Case Study in Power Systems

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