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State Estimation of a Class of Hybrid Systems in the Presence of Unknown Mode Transitions
作者姓名:WANG  Wen-Hui  PENG  Zhao  ZHOU  Dong-Hua
作者单位:Department of Automation,Tsinghua University,Beijing 100084
基金项目:Supported by National Natural Science Foundation of P.R.China (60025307,60234010) and the National “973” Program of P.R.China (2002CB312200)
摘    要:Since the state of hybrid systems is determined by interacting continuous and discrete dynamics,the state estimation of hybrid systems becomes a challenging problem.It is more com- plicated when the discrete mode transition information is not available,and the modes of hybrid systems are nonlinear stochastic dynamic systems.To address this problem,this paper proposes a novel hybrid strong tracking filter (HSTF) for state estimation of a class of hybrid nonlinear stochas- tic systems with unknown mode transition,the method for designing HSTF is presented.The HSTF can estimate the continuous state and discrete mode accurately with unknown mode transition in- formation,and the estimation of hybrid states is robust against the initial state.Simulation results illustrate the effectiveness of the proposed approach.


State Estimation of a Class of Hybrid Systems in the Presence of Unknown Mode Transitions
WANG Wen-Hui PENG Zhao ZHOU Dong-Hua.State Estimation of a Class of Hybrid Systems in the Presence of Unknown Mode Transitions[J].Acta Automatica Sinica,2005(3).
Authors:WANG Wen-Hui PENG Zhao ZHOU Dong-Hua
Abstract:Since the state of hybrid systems is determined by interacting continuous and discrete dynamics,the state estimation of hybrid systems becomes a challenging problem.It is more com- plicated when the discrete mode transition information is not available,and the modes of hybrid systems are nonlinear stochastic dynamic systems.To address this problem,this paper proposes a novel hybrid strong tracking filter (HSTF) for state estimation of a class of hybrid nonlinear stochas- tic systems with unknown mode transition,the method for designing HSTF is presented.The HSTF can estimate the continuous state and discrete mode accurately with unknown mode transition in- formation,and the estimation of hybrid states is robust against the initial state.Simulation results illustrate the effectiveness of the proposed approach.
Keywords:Hybrid systems  hybrid state estimate  hybrid strong tracking filter
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