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Intelligent Unmanned Systems: Theory and Applications

The book covers multi-faceted aspects of intelligent unmanned systems. A wide array of relevant theory and applications are presented to address the current and future challenges in the area of unmanned systems. The book largely represents the extended version of select papers from the International...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Budiyono, Agus (Editor ), Riyanto, Bambang (Editor ), Joelianto, Endra (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2009.
Edición:1st ed. 2009.
Colección:Studies in Computational Intelligence, 192
Temas:
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Image Processing in Optical Guidance for Autonomous Landing of Lunar Probe
  • Locomotion Mechanism of Intelligent Unmanned Explorer for Deep Space Exploration
  • Global Linear Modeling of Small Scale Helicopter
  • Control of Small Scale Helicopter Using s-CDM and LQ Design
  • Discontinuous Control and Backstepping Method for the Underactuated Control of VTOL Aerial Robots with Four Rotors
  • An Insect-Like Flapping-Wing Device Actuated by a Compressed Unimorph Piezoelectric Composite Actuator
  • Designing Cicada-Mimetic Flapping Wing with Composite Wing Structure and Application to Flapping MAV
  • Robot-System for Management of Environmental Conditions Using Multiple Mobile Robot Types
  • Locomotion Elicited by Electrical Stimulation in the Midbrain of the Lizard Gekko gecko
  • How Does "Intelligent Mechanical Design Concept" Help Us to Enhance Robot's Function?
  • Multiple Moving Obstacles Avoidance for Wheeled Type Robots Using Neural Network
  • Virtual Reality Simulation of Fire Fighting Robot Dynamic and Motion
  • Monotonic Decreasing Energy and Switching Control for Underactuated Manipulators
  • Positive Real Synthesis of Networked Control System: An LMI Approach
  • Controlled Switching Dynamical Systems Using Linear Impulsive Differential Equations
  • Structural Damage Detection Using Randomized Trained Neural Networks
  • Fault and Mode Switching Identification for Hybrid Systems with Application to Electro-Hydraulic System in Vehicles.