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Welding is an important material processing method and widely used in industry. With the development of technology and the realization of the welding process, the required weld quality is higher and higher; applying the robot to the welding process is a revolutionary development, which totally changes the typical mode of rigid atomization to the flexible mode. Welding robot are made up of robot, robot...
A nonlinear sliding mode control method is presented for single inverted pendulum position tracking control based on RBF neural networks. The neuro sliding mode controller was designed with RBF neural networks and the stability of the proposed control scheme is proved by Lyapnouv theorem, also the control scheme is applied to the nonlinear inverted pendulum system, simulation studies shows the methods...
As mobile welding robot are widely applied into industry and the weld quality are highlighted, the more flexible control strategy for welding robot are needed, but these control systems are often hard to control by traditional method, so a nonlinear sliding mode control method based on variable structure control was presented for mobile robot control was designed. Sliding mode control (SMC) is a special...
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