Neural Network Control of Vehicles: Modeling and Simulation
A common way of dealing with highly complex systems is via a hierarchical decomposition of the activities to be performed by autonomous vehicles. However, only limited results can be obtained with this method. Another method is to design a hybrid control system that offers safety and performance guarantees by use of the neural control technique. Neural networks appear to offer a new, promising direction toward a better understanding the most challenging control problems that previously were very difficult or impossible to solve.
This book provides basic approaches for the modeling and simulation neural control systems using the MATLAB/Simulink environment for various types of vehicles, emphasizing realistic dynamics with numerous examples. These vehicles include experimental aircraft, self-guided missiles, unmanned miniature helicopters, autonomous underwater vehicles, and more.
Table of Contents
Preface
Acknowledgments
Chapter 1. Neural Control of an Experimental Aircraft
Chapter 2. Neural Control of an Experimental Fighter Aircraft
Chapter 3. Neural Control of a Supersonic Missile
Chapter 4. Neural Control of a Helicopter
Chapter 5. Neural Control of an Autonomous Underwater Vehicle “R2D4”
Chapter 6. Neural Control of an Autonomous Underwater Vehicle “VORAM”
Chapter 7. Neural Control of a Coaxial Rotor Ducted-Fan Unmanned Aerial Vehicle
Chapter 8. Neural Control of a Vectored Thrust Unmanned Aerial Vehicle
Chapter 9. Neural Control of an Autonomous Surface Vessel
Chapter 10. Neural Control of a Catamaran Sailboat
References
Index
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