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Advances in intelligent and autonomous aerospace systems / edited by John Valasek

Published
Reston, VA : American Institute of Aeronautics and Astronautics, [2012]
Copyright Date
©2012
Physical Description
1 online resource (xvii, 489 pages) : illustrations
Additional Creators
Valasek, John and American Institute of Aeronautics and Astronautics
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Contents
pt. 1. Intelligent flight control. Towards bio-inspired robotic aircraft: control experiments on flapping and gliding flight / Michael Dorothy, Aditya A. Paranjape, P. Daniel Kuang and Soon-Jo Chung -- Neural network-based optimal control of an unmanned helicopter / David Nodland [and others] -- Intelligent constrained optimal control of aerospace vehicles with model uncertainties / Jie Ding and S.N. Balakrishnan -- Modified reference model MRAC (M-MRAC): an application to a generic transport aircraft / Vahram Stepanyan and Kalmanje Krishnakumar -- L1 adaptive control in flight / Enric Xargay [and others] -- pt. 2. Intelligent propulsion and health management. Integrated systems health management for intelligent systems / Fernando Figueroa and Kevin Melcher -- Intelligent propulsion control and health management / Sanjay Garg -- Genetic fuzzy controller for a gas-turbine fuel system / Andrew Vick and Kelly Cohen -- pt. 3. Intelligent planning and multi-agent systems. Multiresolution state-space discretization method for Q-learning for one or more regions of interest / Amanda Lampton and John Valasek -- Motion planning under uncertainty / Ali-Akbar Agha-Mohammadi, Sandip Kumar and Suman Chakravorty -- Protocol utilization in intelligent systems to facilitate exploration missions / M. Lyell [and others] -- Framework for user-guided search and adaptive target tracking via cooperative UAVs -- R.A. Cortez [and others].
Summary
This book provides aerospace researchers and engineers with a discussion of 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 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 sub-system 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; and Kalman, particle, and confidence filtering. --
Subject(s)
Genre(s)
ISBN
9781628701562 (electronic bk.)
1628701560 (electronic bk.)
9781600868962 (e-book)
1600868967 (e-book)
9781600868979
1600868975
Bibliography Note
Includes bibliographical references and index.
View MARC record | catkey: 39315197