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In general, the rolling mill uses PID method to control the plate thickness. Performance of the PID controller relies on the plant model, however it is difficult to establish the precise model of hydraulic servo system due to its uncertainties. Fuzzy control does not need the precise model, so a fuzzy PID controller is designed. In this paper, a mathematical model of the rolling mill in ideal circumstance...
A nonlinear feedback controller is designed to make the first two state of a chaotic system called Josephson-circuits-coupled quantum cellular neural network track an arbitrary two-dimensional smooth reference signal. It is proved by means of Lyapunov function that this method can make the system approach to any two desired smooth orbits at an exponent rate. The synchronizations with Duffingpsilas...
This paper proposes the structure of hierarchical behavior controller for the inspection robot. And a fuzzy controller is designed based on the structure to realize the turning behavior of robot. The inspection robot is a multivariable, nonlinear, strongly coupling and underactuated dynamic system. It is difficult to establish an accurate mathematic model of the system. The fuzzy control method can...
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