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In this paper, a robust backstepping controller based on the neuro adaptive observer for the twin rotor multiple-input-multiple-output (MIMO) system is designed and implemented in real time. The twin rotor MIMO system (TRMS) belongs to a class of nonlinear uncertain system having unstable, coupled dynamics. Nonlinearities of the TRMS are estimated using Chebyshev neural network. A tuning scheme based...
This paper presents, a state observer based controller for the twin rotor multiple-input-multiple-output (MIMO) system. The twin rotor MIMO system (TRMS) belongs to a class of nonlinear system having high coupling effect between two propellers, unstable and nonlinear dynamics. A state observer is designed using coordinate change which transforms the TRMS into an approximate normal form. Based on the...
This paper presents a neuro sliding mode controller for the twin rotor control system (TRCS). The TRCS belongs to a class of nonlinear systems having unstable coupled dynamics. A method is proposed to design a switching surface in the presence of mismatched uncertainties. The nonlinearities of the TRCS are assumed to be unknown, which are estimated using Chebyshev neural network (CNN). The design...
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