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Stochastic stabilization of Markovian jump cloud control systems based on max-plus algebra
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作者 WANG Jin YANG Hongjiu +1 位作者 XIA Yuanqing YAN Ce 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2022年第4期827-834,共8页
In this paper, stochastic stabilization is investigated by max-plus algebra for a Markovian jump cloud control system with a reference signal. For the Markovian jump cloud control system, there exists framework adjust... In this paper, stochastic stabilization is investigated by max-plus algebra for a Markovian jump cloud control system with a reference signal. For the Markovian jump cloud control system, there exists framework adjustment whose evolution is satisfied with a Markov chain. Using max-plus algebra, a maxplus stochastic system is used to describe the Markovian jump cloud control system. A causal feedback matrix is obtained by exponential stability analysis for a causal feedback controller of the Markovian jump cloud control system. A sufficient condition is given to ensure existence on the causal feedback matrix of the causal feedback controller. Based on the causal feedback controller, stochastic stabilization in probability is analyzed for the Markovian jump cloud control system with a reference signal.Simulation results are given to show effectiveness of the causal feedback controller for the Markovian jump cloud control system. 展开更多
关键词 Markovian jump cloud control system causal feedback controller max-plus algebra max-product algebra stochastic stabilization
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Causality Analysis of Futures Sugar Prices in Zhengzhou Based on Graphical Models for Multivariate Time Series
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作者 Jing XU Xing-wei TONG 《Acta Mathematicae Applicatae Sinica》 SCIE CSCD 2016年第1期129-136,共8页
This paper presents a method of constructing a mixed graph which can be used to analyze the causality for multivariate time series.We construct a partial correlation graph at first which is an undirected graph.For eve... This paper presents a method of constructing a mixed graph which can be used to analyze the causality for multivariate time series.We construct a partial correlation graph at first which is an undirected graph.For every undirected edge in the partial correlation graph,the measures of linear feedback between two time series can help us decide its direction,then we obtain the mixed graph.Using this method,we construct a mixed graph for futures sugar prices in Zhengzhou(ZF),spot sugar prices in Zhengzhou(ZS) and futures sugar prices in New York(NF).The result shows that there is a bi-directional causality between ZF and ZS,an unidirectional causality from NF to ZF,but no causality between NF and ZS. 展开更多
关键词 causality partial spectral coherence partial correlation graph linear feedback mixed graph
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