Huailin Shu

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PIDNN (proportional, integral and derivative neural network) was first created by the author in 1997. In this paper, the author analyzes the characteristics of the temperature system of the plastic injecting-moulding machine and the performances of the PIDNN control system. The simulation results for the three-stage heater in a plastic injection machine are(More)
In this paper, the proportional (P) neuron, integral (I) neuron and derivative (D) neuron are introduced and a new neural network: PID neural network (PIDNN) is built. Based on the PID neural network, a strong coupled time varying system is decoupled and controlled. The paper displays the perfect performances of the PIDNN in the multivariable time-varying(More)
The PID neural network controller has good control performance, can make both neural networks and PID control into an organic whole. The approach to realize neural network control in graphical programming of virtual instrument is researched. Adopting LabVIEW to design the module of PID neural network, it has realized the simulation of PID neural network(More)
The PID neural network controller can make both neural networks and PID control into an organic whole, which has the merit of any PID controller for its simple construction and definite physical meaning of parameters, and also has the self-study and adaptive functions of neural network. The approach to realize neural network control in virtual instrument is(More)
The multi-vessel flow system is a non-linear coupling system with time-delay. It is one kind of typical controlled multivariable object that has extensive application in the actual production in process control. In this paper, the structure and algorithm of PID neural network are introduced and the properties and characteristics are analyzed. The(More)
In this paper, the proportional (P) neuron, integral (I) neuron and derivative (D) neuron are introduced and a new neural network: PID neural network (PIDNN) is built. Based on the PID neural network, a multivariable system which has 3 inputs and 2 outputs is discussed and the paper displays the perfect performances of the PIDNN for the unsymmetry(More)
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