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In this paper, the dynamics of a superheated steam temperature process in a 600MW supercritical once-through boiler is first analyzed. The dynamics is influenced by the operating conditions represented by steam flow and steam pressure mainly. An intelligent cascade control system is then designed for controlling superheated steam temperature over wide range conditions. The parameter of the proportional...
The Broyden-Fletcher-Goldfarh-Shanno (BFGS) optimization algorithm usually used for nonlinear least squares is presented and is combined with the modified back propagation algorithm yielding a new fast training multilayer perceptron (MLP) algorithm (BFGS/AG). The approaches presented in the paper consist of three steps: (1) modification on standard back propagation algorithm by introducing "gain...
Blind source separation (BSS) is a class of methods that recover inaccessible independent original signals from unknown mixtures. This paper proposes the niche genetic algorithm in combination with nonlinear blind source separation to solve the global optimization of parameters. The mixing model is the well-known post-nonlinear (PNL) mixture. The natural gradient descent method is applied in minimizing...
To reduce the learning time of reinforcement learning (RL), hybrid algorithms that combine reinforcement learning with various supervised learning methods have attracted many research interests. However, the global convergence and optimality become one of the main problems for hybrid reinforcement learning algorithms. In this paper, the convergence of a hybrid RL algorithm, which is combined with...
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