Mobile intelligent autonomous systems
Written for systems, mechanical, aero, electrical, civil, industrial, and robotics engineers, this book covers robotics from a theoretical and systems point of view, with an emphasis on the sensor modeling and data analysis aspects. With the novel infusion of NN-FL-GA paradigms for MIAS, this refere...
Otros Autores: | , |
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Formato: | Libro electrónico |
Idioma: | Inglés |
Publicado: |
Boca Raton, FL :
Taylor & Francis
2012, c2013.
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Edición: | 1st edition |
Materias: | |
Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009628219806719 |
Tabla de Contenidos:
- Front Cover; Contents; Preface; Acknowledgements; Editors; Contributors; Introduction; Chapter 1 - Neuro-Fuzzy-GA-AI Paradigms; Chapter 2 - Mathematical Models of Robot Motion; Chapter 3 - Data Fusion in Mobile Intelligent Autonomous Systems; Chapter 4 - Image Registration and Fusion; Chapter 5 - Multi-Sensor Image Fusion Using Discrete Cosine Transform; Chapter 6 - Motion Segmentation Using Spectral Framework; Chapter 7 - Formation Control in Multi-Agent Systems over Packet Dropping Links; Chapter 8 - Robot's Sensors and Instrumentation; Chapter 9 - Robot Navigation and Guidance
- Chapter 10 - Robot Path and Motion PlanningChapter 11 - Out-of-Sequence Measurements: Missing Data Problem; Chapter 12 - Robotic Path-Planning in Dynamic and Uncertain Environment Using Genetic Algorithm; Chapter 13 - Temporal Logic Motion Planning in Robotics; Chapter 14 - A Constraint Programming Solution for the Military Unit Path Finding Problem; Chapter 15 - Simultaneous Localization and Mapping for a Mobile Vehicle; Chapter 16 - Robotic and Moving Vehicle Architectures; Chapter 17 - Multi-Robot Coordination; Chapter 18 - Autonomous Mobile Robot with a Biological Brain
- Chapter 19 - Safe and Effective Autonomous Decision Making in Mobile RobotsChapter 20 - Partially Integrated Guidance and Control of Unmanned Aerial Vehicles for Reactive Obstacle Avoidance; Chapter 21 - Impedance-Controlled Mechatronic Systems for Autonomous Intelligent Devices; Chapter 22 - Hydro-MiNa Robot Technology for Micro- and Nano-Manipulation in Manufacturing of Micro-Products; Chapter 23 - Real-Time System Identification of an Unstable Vehicle within a Closed Loop; Chapter 24 - Smart Antennas for Mobile Autonomous Systems: Adaptive Algorithms for Acceleration
- Chapter 25 - Integrated Modelling, Simulation and Controller Design for an Autonomous Quadrotor Micro Air VehicleChapter 26 - Determination of Impact and Launch Points of a Mobile Vehicle Using Kalman Filter and Smoother; Chapter 27 - Novel Stability Augmentation System for Micro Air Vehicle: Towards Autonomous Flight; Chapter 28 - Neuro-Fuzzy Fault-Tolerant Aircraft Autoland Controllers; Chapter 29 - Reconfiguration in Flight Critical Aerospace Applications; Chapter 30 - Study of Three Different Philosophies to Automatic Target Recognition: Classical, Bayesian and Neural Networks
- Chapter 31 - Real-Time Implementation of a Novel Fault Detection and Accommodation Algorithm for an Air-Breathing Combustion SystemChapter 32 - Fuzzy Logic-Based Sensor and Control Surface Fault Detection and Reconfiguration; Chapter 33 - Target Tracking Using a 2D Radar; Chapter 34 - Investigating the Use of Bayesian Network and k-NN Models to Develop Behaviours for Autonomous Robots; Chapter 35 - Modelling Out-of-Sequence Measurements: A Copulas-Based Approach; Appendix A: Statistical and Numerical Concepts; Appendix B: Notes on Software and Algorithms Related to Robotics; Back Cover