Description Research advances in embedded computational intelligence, communication, control, and new mechanisms for sensing, actuation, and adaptation hold the promise to transform aerospace. The result will be air and space vehicles, propulsion systems, exploration systems, and vehicle management systems that respond more quickly, provide large-scale distributed coordination, work in dangerous or inaccessible environments, and augment human capabilities. Advances in Intelligent and Autonomous Aerospace Systems seeks to provide both the aerospace researcher and the practicing aerospace engineer with an exposition on the latest innovative methods and approaches that focus on intelligent and autonomous aerospace systems. The chapters are written by leading researchers in this field, and include ideas, directions, and recent results on current intelligent aerospace research issues with a focus on dynamics and control, systems engineering, and aerospace design. The content on uncertainties, modeling of large and highly non-linear complex systems, robustness, and adaptivity is intended to be useful in both the subsystem and the overall system-level design and analysis of various aerospace vehicles. A broad spectrum of methods and approaches are presented, including: Bio-inspiration Fuzzy logic Genetic algorithms Q-learning Markov decision processes Approximate dynamic programming Artificial neural networks Probabilistic maps Multi-agent systems Kalman, particle, and confidence filtering About The Editor John Valasek is professor of aerospace engineering and Director of the Vehicle Systems & Control Laboratory at Texas A&M University. He has industrial experience with Northrop Grumman Corporation and research experience with the Air Force Research Laboratory and NASA. He is the author or editor of numerous publications including Progress in Astronautics and Aeronautics Volume 240, Morphing Aerospace Vehicles and Structures (ISBN 978-1-60086-903-7). He holds a BS in aerospace engineering from California State Polytechnic University, Pomona, and an MS and a PhD in aerospace engineering from the University of Kansas. He is an Associate Editor of the Journal of Guidance, Control, and Dynamics and is an AIAA Associate Fellow.


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    Titel :

    Motion Planning Under Uncertainty


    Beteiligte:


    Erscheinungsdatum :

    01.01.2012




    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch