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This paper presents a method of continuous-time simple adaptive control (SAC) using neural network based on genetic algorithm (GA) for a single-input single-output (SISO) nonlinear systems, bounded-input bounded-output, and bounded nonlinearities. According to the power of neural network and the characteristics of simple adaptive control, constructed a simple adaptive control using neural networks,...
Ram velocity tracking control is an important process in injection molding control. Due to the nonlinearity of the injection system and the fluctuation of the system parameters during the process, traditional PID controller can't satisfy the requirement of precision injection. A method of utilizing RBF neural network to adjust PID control parameters is presented, which conquers the deficiency of traditional...
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