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Intelligent and Autonomous Aerospace Systems:

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ISBN-10: 1600868975

ISBN-13: 9781600868979

Edition: 2012

Authors: Not Available

List price: $119.95
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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…    
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Book details

List price: $119.95
Copyright year: 2012
Publisher: Amer Inst of Aeronautics &
Binding: Cloth Text 
Size: 6.25" wide x 9.00" long x 1.25" tall
Weight: 1.738
Language: English

Acknowledgment
Preface
Intelligent Flight Control
Towards Bio-Inspired Robotic Aircraft: Control Experiments on Flapping and Gliding Flight
Introduction
Biologically Inspired CPG Control Basics
Kinematics and Unsteady Aerodynamics
CPG-Based Control Results of RoboBat
Flight Mechanics of MAV with Articulated Wings
Control Law Design
Experiments on the Elements of Perching
Conclusion
Acknowledgments
References
Neural Network-Based Optimal Control of an Unmanned Helicopter
Introduction
Helicopter Dynamic Model
Nonlinear Optimal Regulation and Tracking of the Helicopter
Simulation Results
Conclusion
Acknowledgments
References
Intelligent Constrained Optimal Control of Aerospace Vehicles with Model Uncertainties
Nomenclature
Introduction
Approximate Dynamic Programming
J-SNAC Synthesis with Nonquadratic Cost
Dynamic Reoptimization of J-SNAC Controller
Tracking Problem with Input Constraint
Numerical Results
Conclusion
Appendix
Acknowledgments
References
Modified Reference Model MRAC (M-MRAC): An Application to a Generic Transport Aircraft
Introduction
Preliminaries
Reference Model Modification
Asymptotic Properties of M-MRAC
Transient Properties of M-MRAC
Disturbance Rejection
Scalar Example
Aerospace Application
Conclusions
References
L<sub>1</sub> Adaptive Control in Flight
Fast Adaptation: The Key to Safe Flight
L<sub>1</sub> Adaptive Control for the NPS Autonomous UAV
L<sub>1</sub> Adaptive Control for the NASA AirSTAR Flight-Test Vehicle
Concluding Remarks and Future Research Directions
Acknowledgments
References
Intelligent Propulsion and Health Management
Integrated Systems Health Management for Intelligent Systems
Acronyms
Introduction
ilSHM Capability Development
ilSHM in Systems Design, Integration, and Engineering
Intelligent Control for ilSHM-Enabled Systems
Opportunities and Need for Advances in Verification and Validation
Implementation Example: Rocket-Engine Test Facility and Test Article
Conclusion
Acknowledgments
References
Intelligent Propulsion Control and Health Management
Introduction
Turbofan Engine Overview
State of the Art of Engine Control
Some Retrofit Intelligent Engine Control Concepts
Model-Based Control and Diagnostics
Conclusion
References
Genetic Fuzzy Controller for a Gas-Turbine Fuel System
Introduction to Genetic Fuzzy Systems
Gas-Turbine Fuel System
Genetic Fuzzy Gas-Turbine Fuel System
Conclusions
References
Intelligent Planning and Multi-Agent Systems
Multiresolution State-Space Discretization Method for Q-Learning for One or More Regions of Interest
Introduction
Reinforcement Learning
Learning on a Two- and N-Dimensional Continuous Domain
Multiresolution State-Space Discretization (AAG) for N Dimensions
Multiple Goal Regions
Policy Comparison
Benchmark Dynamic System Example - Inverted Pendulum
Autonomous Soaring Updraft/Thermal Example
Conclusions
Acknowledgments
References
Motion Planning Under Uncertainty
Introduction
Mathematical Formulation for Decision Making Under Uncertainty
Generic Framework for Sampling-Based Feedback Motion Planners
Sampling-Based Feedback Motion Planners with Process Uncertainty and Stochastic Maps
Sampling-Based Feedback Motion Planners with Motion Uncertainty and Imperfect State Information
Proof of Lemma 4
Proof of Corollary 1
Proof of Proposition 1
Proof of Theorem 1
References
Protocol Utilization in Intelligent Systems to Facilitate Exploration Missions
Introduction
Mission Criteria and Behavior Norms: The Impact on Framework Design
Technology Fundamentals: Software Agent Paradigm and Protocols
Multi-Agent-Based Subsystems and Astronaut Interactions and Oversight: Behavior and Protocol Development
Robot Agent
Autonomous Robot Teams and Astronaut Oversight: Protocol Development
Protocol Utilization by the Deployed Robot Team
Discussion and Conclusions
Acknowledgment
References
Framework for User-Guided Search and Adaptive Target Tracking via Cooperative UAVs
Introduction
Problem Formulation
UAV Coordination
Quadrotor Baseline Controller Design
Simulations and Experiments
Conclusions and Future Work
References
Index
Supporting Materials