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Modeling and Stability Analysis for Non-linear Network Control System Based on T-S Fuzzy Model 被引量:2
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作者 ZHANG Hong FANG Huajing 《现代电子技术》 2007年第5期138-141,144,共5页
Based on the T-S fuzzy model,this paper presents a new model of non-linear network control system with stochastic transfer delay.Sufficient criterion is proposed to guarantee globally asymptotically stability of this ... Based on the T-S fuzzy model,this paper presents a new model of non-linear network control system with stochastic transfer delay.Sufficient criterion is proposed to guarantee globally asymptotically stability of this two-levels T-S fuzzy model.Also a T-S fuzzy observer of NCS is designed base on this two-levels T-S fuzzy model.All these results present a new approach for networked control system analysis and design. 展开更多
关键词 模糊模型 非线性系统 时延 网络控制系统 通信技术
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An Improved Cooperative Tracking Model Used for Large-scale Social Foraging Swarm 被引量:1
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作者 CHEN Shi-Ming FANG Hua-Jing 《自动化学报》 EI CSCD 北大核心 2006年第1期38-42,共5页
An improved cooperative tracking model is proposed, which is based on the local information between mutually observable individuals with global object information, and this model is used for scalable social foraging s... An improved cooperative tracking model is proposed, which is based on the local information between mutually observable individuals with global object information, and this model is used for scalable social foraging swarm. In this model, the 'follower' individuals in the swarm take the center of the minimal circumcircle decided by the neighbors in the positive visual set of individual as its local object position. We study the stability properties of cooperative tracking behavior of social foraging swarm based on Lyapunov stability theory. Simulations show that the stable cooperative tracking behavior of the global social foraging swarm can be achieved easily, and beautiful scalability emerge from the proposed model for social foraging swarm. 展开更多
关键词 跟踪模型 稳定性 可测量性 LYAPUNOV理论
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Time Series Analysis of Wheat Futures Reward in China
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作者 WEI Hui-hui 《Journal of Northeast Agricultural University(English Edition)》 CAS 2005年第2期177-181,共5页
Different from the fact that the main researches are focused on single futures contract and lack of the comparison of different periods, this paper described the statistical characteristics of wheat futures reward tim... Different from the fact that the main researches are focused on single futures contract and lack of the comparison of different periods, this paper described the statistical characteristics of wheat futures reward time series of Zhengzhou Commodity Exchange in recent three years. Besides the basic statistic analysis, the paper used the GARCH and EGARCH model to describe the time series which had the ARCH effect and analyzed the persistence of volatility shocks and the leverage effect. The results showed that compared with that of normal one,wheat futures reward series were abnormality, leptokurtic and thick tail distribution. The study also found that two-part of the reward series had no autocorrelation. Among the six correlative series, three ones presented the ARCH effect. By using of the Auto-regressive Distributed Lag Model, GARCH model and EGARCH model, the paper demonstrates the persistence of volatility shocks and the leverage effect on the wheat futures reward time series. The results reveal that on the one hand, the statistical characteristics of the wheat futures reward are similar to the aboard mature futures market as a whole. But on the other hand, the results reflect some shortages such as the immatureness and the over-control by the government in the Chinese future market. 展开更多
关键词 futures reward thick tail GARCH EGARCH
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