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In the blast furnace iron-making process, the prediction of the silicon content in hot metal is one of the most important but difficult. This paper proposes a novel combined algorithm based on Empirical Mode Decomposition(EMD) and Dynamic Neural Network (DNN) for predicting the silicon content of hot metal in blast furnace. To eliminate the mutual interference of different frequency components of...
The leader-following consensus problem of second-order multi-agent systems with sampled data is investigated in the paper firstly. Only sampled position data is used in consensus protocol due to the difficulty of measuring relative velocity among all agents in fact. We consider two cases: 1) network with fixed topology; 2) network with switching topology. A necessary and sufficient condition is given...
This paper addresses the problem of observer-based sliding mode control for nonlinear stochastic time-delay systems represented by Takagi-Sugeno(T-S) fuzzy model. A delay-dependent sufficient condition for the asymptotic stability (in probability) of the overall closed-loop fuzzy stochastic system is derived. Moreover, it is shown that when the linear matrix inequalities (LMIs) are feasible, the sliding...
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