Flexibility Discrete Dynamic Bayesian Networks modeling and Inference algorithm

摘要：

Directly applying Discrete Dynamic Bayesian Networks to time-varying environment is highly complex, it mainly dues to : application environment with mutant characteristics; network structure and parameters needing to have the variation ; adapt to the uncertainty of sensor observations . To meet the above requirements, proposing the concept of Flexible Discrete Dynamic Bayesian Network, designing a mechanism of flexible model based on muti-model for the discrete-time systems under mutant environment. Based on the above, applying the Forward algorithm to fulfill Flexible Discrete Dynamic Bayesian Network probabilistic inference thus can be able to use uncertainty observations information to obtain a reliable state estimation.

关键词： Mutation Environments Dynamic Bayesian Networks Flexibility Dynamic Bayesian Networks Multi-model

作者: REN Jia TANG Tao WANG Na

作者单位: College of Information Sciences & Technology, Hainan University, Haikou, 570228,China College of Energy and Electrical Engineering, Xian Siyuan University, Xian,710000 China

会议类型: 国际会议

会议名称: The 24th Chinese Control and Decision Conference (第24届中国控制与决策学术年会 2012 CCDC)

会议地点: 太原

会议语种:英文

页码: 1687-1692

在线出版日期: 2012-05-23（万方平台首次上网日期，不代表论文的发表时间）