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Through the study of the boiler-turbine coordination and control network, this paper analysis the difficulties of the inverse system analytical method in practical use. A structure and learning method with close to the dynamic inverse system capacity of continuous-time dynamic neural network has been raised. A coordination and control neural network inverse system control method for the thermal power...
This paper presents model reference adaptive control (MRAC) approach to control the shape of output distribution in non-Gaussian stochastic systems. The method is based on Iterative Learning Control (ILC) and employs a neural network framework for controller design. The output probability density function (PDF) tracking problem is first reduced to dynamic neural network (NN) weight control. It is...
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