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The paper presents a nonlinear modeling technique for an air vehicle system, called Twin Rotor Multi-input Multi-output System (TRMS) using neural networks and particle swarm optimization (PSO). Since the TRMS permits both 1 and 2 degrees of freedom (DOF) motions, it can be considered as a static test rig for an air vehicle. Modeling of TRMS is perceived as a challenging engineering problem due to...
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