Mobile Intelligent Autonomous Systems

Table of contents

1. Cover
2. Half Title
3. Title Page
4. Copyright Page
5. Dedication
6. Table of Contents
7. Preface
8. Acknowledgements
9. Editors
10. Contributors
11. Introduction
12. PART I Conceptual Foundations for MIAS
    1. Chapter 1 Neuro-Fuzzy–GA–AI Paradigms
    2. Chapter 2 Mathematical Models of Robot Motion
    3. Chapter 3 Data Fusion in Mobile Intelligent Autonomous Systems
    4. Chapter 4 Image Registration and Fusion
    5. Chapter 5 Multi-Sensor Image Fusion Using Discrete Cosine Transform
    6. Chapter 6 Motion Segmentation Using Spectral Framework
    7. Chapter 7 Formation Control in Multi-Agent Systems over Packet Dropping Links
13. PART II MIAS and Robotics
    1. Chapter 8 Robot’s Sensors and Instrumentation
    2. Chapter 9 Robot Navigation and Guidance
    3. Chapter 10 Robot Path and Motion Planning
    4. Chapter 11 Out-of-Sequence Measurements: Missing Data Problem
    5. Chapter 12 Robotic Path-Planning in Dynamic and Uncertain Environment Using Genetic Algorithm
    6. Chapter 13 Temporal Logic Motion Planning in Robotics
    7. Chapter 14 A Constraint Programming Solution for the Military Unit Path Finding Problem
    8. Chapter 15 Simultaneous Localization and Mapping for a Mobile Vehicle
    9. Chapter 16 Robotic and Moving Vehicle Architectures
    10. Chapter 17 Multi-Robot Coordination
    11. Chapter 18 Autonomous Mobile Robot with a Biological Brain
    12. Chapter 19 Safe and Effective Autonomous Decision Making in Mobile Robots
    13. Chapter 20 Partially Integrated Guidance and Control of Unmanned Aerial Vehicles for Reactive Obstacle Avoidance
    14. Chapter 21 Impedance-Controlled Mechatronic Systems for Autonomous Intelligent Devices
    15. Chapter 22 Hydro-MiNa Robot Technology for Micro- and Nano-Manipulation in Manufacturing of Micro-Products
14. PART III Allied Technologies for MIAS/Robotics
    1. Chapter 23 Real-Time System Identification of an Unstable Vehicle within a Closed Loop
    2. Chapter 24 Smart Antennas for Mobile Autonomous Systems: Adaptive Algorithms for Acceleration
    3. Chapter 25 Integrated Modelling, Simulation and Controller Design for an Autonomous Quadrotor Micro Air Vehicle
    4. Chapter 26 Determination of Impact and Launch Points of a Mobile Vehicle Using Kalman Filter and Smoother
    5. Chapter 27 Novel Stability Augmentation System for Micro Air Vehicle: Towards Autonomous Flight
    6. Chapter 28 Neuro-Fuzzy Fault-Tolerant Aircraft Autoland Controllers
    7. Chapter 29 Reconfiguration in Flight Critical Aerospace Applications
    8. Chapter 30 Study of Three Different Philosophies to Automatic Target Recognition: Classical, Bayesian and Neural Networks
    9. Chapter 31 Real-Time Implementation of a Novel Fault Detection and Accommodation Algorithm for an Air-Breathing Combustion System
    10. Chapter 32 Fuzzy Logic–Based Sensor and Control Surface Fault Detection and Reconfiguration
    11. Chapter 33 Target Tracking Using a 2D Radar
    12. Chapter 34 Investigating the Use of Bayesian Network and k-NN Models to Develop Behaviours for Autonomous Robots
    13. Chapter 35 Modelling Out-of-Sequence Measurements: A Copulas-Based Approach
15. Appendix A: Statistical and Numerical Concepts
16. Appendix B: Notes on Software and Algorithms Related to Robotics