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Aimed at the bulky nonlinear temperature system with time-delay, a DFOPDT model is established. The relation between the classical model and the disperse model of the system is deduced. An algorithm is presented which is an effective way to solve unknown parameters of the model by neural network. The network can soon converge through the iterative calculation in which the value of unknown parameters...
This paper presents a new neural network-based nonlinear adaptive model predictive control algorithm and its implementation over a service-oriented computer network. The computer network is based on the device profile for web services. At each sampling instant, the algorithm identifies a nonlinear process model using a recurrent neural network. On the basis of the identified model, the nonlinear adaptive...
The temperature of superheated steam of thermal power plants is characterized by large inertia and time delay. Its dynamic characteristics vary with the unit load. General strategy for the temperature control doesnpsilat satisfy the performance requirement. We propose a predictive control approach based on extended minimal resource allocation network to address this issue. In brief, a neural network...
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