FTC of hidden Markov process with application to resource allocation in air operation

作     者：Neng Eva Wu Matthew Charies Ruschmann 

作者机构：Department of Electrical and Computer EngineeringBinghamton UniversityState University of New York 

出 版 物：《Journal of Systems Engineering and Electronics》 (系统工程与电子技术（英文版）)

年 卷 期：2011年第22卷第1期

页      面：12-21页

核心收录：

学科分类：02[经济学] 0202[经济学-应用经济学] 020208[经济学-统计学] 07[理学] 0714[理学-统计学（可授理学、经济学学位）] 070103[理学-概率论与数理统计] 0701[理学-数学] 

主　　题：hidden Markov process(HMP) decentralization information fusion fault tolerant estimation air operation receding horizon control(RHC). 

摘      要：This paper investigates the feedback control of hidden Markov process（HMP） in the face of loss of some observation *** control action facilitates or impedes some particular transitions from an inferred current state in the attempt to maximize the probability that the HMP is driven to a desirable absorbing *** control problem is motivated by the need for judicious resource allocation to win an air operation involving two opposing *** effectiveness of a receding horizon control scheme based on the inferred discrete state is *** to loss of sensors that help determine the state of the air operation is achieved through a decentralized scheme that estimates a continuous state from measurements of linear models with additive *** discrete state of the HMP is identified using three well-known detection *** sub-optimal control policy based on the detected state is implemented on-line in a closed-loop,where the air operation is simulated as a stochastic process with SimEvents,and the measurement process is simulated for a range of single sensor loss rates.