模式转换未知的一类混杂系统的状态估计  

State Estimation of a Class of Hybrid Systems in the Presence of Unknown Mode Transitions

作　　者：王文辉 彭昭 周东华 

机构地区：[1]Department of Automation, Tsinghua University, Beijing 100084

出　　处：《自动化学报》2005年第3期451-458,共8页Acta Automatica Sinica

基　　金：国家自然科学基金，国家重点基础研究发展计划(973计划)

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 complicated 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 stochastic 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 information, and the estimation of hybrid states is robust against the initial state. Simulation results illustrate the effectiveness of the proposed approach.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 complicated 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 stochastic 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 information, and the estimation of hybrid states is robust against the initial state. Simulation results illustrate the effectiveness of the proposed approach.

关 键 词：状态估计 混杂系统 模式转换 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置] TM744[自动化与计算机技术—控制科学与工程]