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A PID neural network is proposed to solve the decoupling problem of multi-cylinder forging machine. Based on analyzing forging machine's model the PID neural network is determined as 10-15-5 structure. 10 input- neurons connect the given value and the measure value of left front cylinder, left posterior cylinder, right front cylinder, right posterior cylinder and main cylinder.15 neurons of hidden...
The physical mechanism of three-tank water level system is analyzed, and an approximated linear model is deduced to represent the dynamic property of the water level system around an equilibrium point. On the other hand, Three different identification methods based on different model structures: linear model, BP neural network model, nonlinear Hammerstein ARMAX model are used to identify the dynamical...
In this paper a decoupled sliding-mode with fuzzy neural network controller for a nonlinear system is presented. To divided into two subsystems to achieve asymptotic stability by decoupled method for a class of three order nonlinear system. The fuzzy neural network (FNN) is the main regulator controller, which is used to approximate an ideal computational controller. The compensation controller is...
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