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- W2374942004 abstract "State estimation of hybrid system, which consists of discrete state estimation and continuous state estimation, is a critical issue in hybrid system study. Utilizing the advantage of particle filter, which can estimate the discrete and continuous states simultaneously, we propose a new approach for monitoring and diagnosing of hybrid system. After giving the derivation of algorithm and design steps, we discuss the issues arising from algorithm implementation and propose an improved algorithm. The result of simulation shows the feasibility of particle filter in hybrid system monitoring and diagnosing, and it also demonstrates that the proposed improved algorithm can achieve better result." @default.
- W2374942004 created "2016-06-24" @default.
- W2374942004 creator A5060450409 @default.
- W2374942004 date "2003-01-01" @default.
- W2374942004 modified "2023-09-25" @default.
- W2374942004 title "Hybrid System Monitoring and Diagnosing Based on Particle Filter Algorithm" @default.
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