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In this paper, we apply an adaptive control algorithm to a nonlinear multivariable process. Such controller is based on the multiple models approach. As the design of the control law requires the knowledge of the dynamical model of the system, we deal firstly with the identification of the system parameters using the recursive least squares and the retro propagation of the gradient algorithms. Then,...
The heat exchange of distilled water unit is a very complex process.The main steam pressure and temperature are tightly coupled with the pressure of raw water, temperature and flow in the circuit, and show non-linear relationship. There are two important parameters need to be controlled in water production process: conductivity and temperature of distilled water at the exit. This is a typical double...
A multi-variable dynamic model of the glutamic acid fermentation process based on neural network is established. Combining the off-line Optimal control method and the on-line adaptive fuzzy neural network control method, the hybrid fuzzy adaptive fermentation process control model is designed. The off-line optimization track is the main control model, while the adaptive fuzzy neural network based...
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