Stable adaptive systems
Neurocontrol and fuzzy logic: connections and designs
International Journal of Approximate Reasoning - Special issue on fuzzy logic and neural networks for pattern recognition and control
System identification (2nd ed.): theory for the user
System identification (2nd ed.): theory for the user
Real-Time Neural Network Based Online Identification Technique for a UAV Platform
CIMCA '06 Proceedings of the International Conference on Computational Inteligence for Modelling Control and Automation and International Conference on Intelligent Agents Web Technologies and International Commerce
An approach to stability criteria of neural-network control systems
IEEE Transactions on Neural Networks
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In this paper a novel dual neural network based technique to control the pitch angle of an aircraft is presented. To control the nonlinear aerodynamics, two neural networks, one as an online trained controller and another as an internal model of the system, are used together. Numerical simulation results are validated using the real-time Hardware in the Loop (HIL) simulation. Stability analysis of the controller shows under given boundary conditions the controller satisfies Lyapunov's stability criteria. The neural networks model and controller are based on the Autoregressive architecture (ARX).