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This paper investigates the problem of stabilizing a class of time-varying nonlinear sampled-data systems whose parameters do not change sharply with time. Given this type of sampled-data systems, we make use of the approximate model of the time-varying system at each sampling instant in designing a controller, which can stabilize the exact discrete-time model of the plant under any sufficiently small...
Since the start process for control system of electric forklift has the characters of nonlinearity and fast time-variety, and routine PID method is difficult to satisfy the nonlinear and variable request. So this paper applied a control strategy based on radial basis function neural network, RBFNN PID, to control the motor through closed-loop control, in order to compensate the perturbation, nonlinearity...
A polishing implementing mechanism control system of a large freeform surface polishing robot is designed in this paper. According to the structure characteristic of the implementing mechanism, the control process is composed of position control process and pressure control process. The control system has overcome nonlinear characteristic of the proportional reducing valve effectively and ensured...
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