| |
| |
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 | |