Robotics, Automation and Control
eBook - PDF

Robotics, Automation and Control

  1. 504 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Robotics, Automation and Control

About this book

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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Yes, you can access Robotics, Automation and Control by Pavla Pecherkova,Miroslav Flidr,Jindrich Dunik, Pavla Pecherkova, Miroslav Flidr, Jindrich Dunik in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Automation in Engineering. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Robotics Automation and Control
  2. Contents
  3. Preface
  4. 1. Multi-Domain Modelling and Control in Mechatronics: the Case of Common Rail Injection Systems
  5. 2. Time-Frequency Representation of Signals Using Kalman Filter
  6. 3. Discrete-Event Dynamic Systems Modelling Distributed Multi-Agent Control of Intermodal Container Terminals
  7. 4. Inclusion of Expert Rules into Normalized Management Models for Description of MIB Structure
  8. 5. Robust and Active Trajectory Tracking for an Autonomous Helicopter under Wind Gust
  9. 6. An Artificial Neural Network Based Learning Method for Mobile Robot Localization
  10. 7. The Identification of Models of External Loads
  11. 8. Environment Modelling with an Autonomous Mobile Robot for Cultural Heritage Preservation and Remote Access
  12. 9. On-line Cutting Tool Condition Monitoring in Machining Processes using Artificial Intelligence
  13. 10. Controlled Use of Subgoals in Reinforcement Learning
  14. 11. Fault Detection Algorithm Based on Filters Bank Derived from Wavelet Packets
  15. 12. Pareto Optimum Design of Robust Controllers for Systems with Parametric Uncertainties
  16. 13. Genetic Reinforcement Learning Algorithms for On-line Fuzzy Inference System Tuning ā€œApplication to Mobile Roboticā€
  17. 14. Control of Redundant Submarine Robot Arms under Holonomic Constraints
  18. 15. Predictive Control with Local Visual Data
  19. 16. New Trends in Evaluation of the Sensors Output
  20. 17. Modelling and Simultaneous Estimation of State and Parameters of Traffic System
  21. 18. A Human Factors Approach to Supervisory Control Interface Improvement
  22. 19. An Approach to Tune PID Fuzzy Logic Controllers Based on Reinforcement Learning
  23. 20. Autonomous Robot Navigation using Flatness-based Control and Multi-Sensor Fusion
  24. 21. An Improved Real-Time Particle Filter for Robot Localization
  25. 22. Dependability of Autonomous Mobile Systems
  26. 23. Model-free Subspace Based Dynamic Control of Mechanical Manipulators
  27. 24. The Verification of Temporal KBS: SPARSE - A Case Study in Power Systems