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نمایش تعداد 1-10 از 278
A neuro-controller with guarantied stability
This paper introduces an MLP-based neuro-controller with a learning algorithm that guarantees the stability of a class of closed loop neural network control systems. The underlying control system represents a special class ...
A Novel Neuro-based Model Reference Adaptive Control for a Two-Link Robot Arm
This paper presents a novel neuro-adaptive control for a two link robot arm. The new learning algorithm guarantees the stability of a class of closed-loop neural network control systems. The underlying control system, here ...
A Neural Network type Feedback law for linear systems with position and rate limited actuators
his paper introduces a novel nonlinear feedback for locally stabilizing a class of multi-input nonlinear systems consist of a linear system together with saturated and rate limited actuators. No assumption is made on the ...
New Approach to High-Fidelity Aerodynamic Design Optimization of a Wind Turbine Blade
) have been utilized to train a Neural Network (NN). E387 Eppler is used as the base cross section of the blade. In the process of airfoil optimization, Genetic Algorithm (GA) is coupled with trained NNto attain the best airfoil shape at each angle...