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Abstract:
A scheme
of neural network model reference control is presented by carefully
analyzing the characteristic of a hydraulic bending roll system, both
the transient and steady state behavior of the system in consideration,
the questions of identification and control for unknown, uncertain,
nonlinear system are solved successfully; and application in the
hydraulic bending roll system, satisfactory performance of the control
system is obtained from the simulation experiments, the quality of
products is improved evidently.
Key words:
Neural
network Model reference adaptive control Shape control
Hydraulic serve system
CLC No: TP217
河北省博士基金资助项目. Received
20000904, received in revised form 20010213
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