Title | ||
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A health performance prediction method of large-scale stochastic linear hybrid systems with small failure probability. |
Abstract | ||
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Health performance prediction of a dynamical system aims at determining the probability or possibility that the system state will remain in a permitted area (safe set) or reach a forbidden area (unsafe set) at a future time instance. This paper proposes a health performance prediction algorithm for large-scale Stochastic Linear Hybrid Systems (SLHS) with small failure probability. In the studied SLHS, the continuous variable evolution is described by a set of stochastic linear differential equations, and the discrete state evolution is modeled by a first-order Markov chain. Furthermore, a safe set of the SLHS is described by a permitted area in the hybrid state space. Given an initial condition, a hybrid state evolution algorithm is proposed referring to the execution of stochastic hybrid systems. On this basis, a concept of health degree is introduced to evaluate the health performance of the studied SLHS. Finally, a multicopter with sensor anomalies is studied to validate the availability and effectiveness of the proposed method. |
Year | DOI | Venue |
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2017 | 10.1016/j.ress.2017.03.014 | Reliability Engineering & System Safety |
Keywords | Field | DocType |
Health performance,Stochastic linear hybrid systems,Large-scale,Small failure probability,Multicopter | Mathematical optimization,Linear differential equation,Markov chain,Continuous variable,Initial value problem,Statistics,State space,Performance prediction,Hybrid system,Reliability engineering,Mathematics,Dynamical system | Journal |
Volume | ISSN | Citations |
165 | 0951-8320 | 1 |
PageRank | References | Authors |
0.36 | 23 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Zhiyao Zhao | 1 | 16 | 5.45 |
Quan Quan | 2 | 1 | 1.71 |
Kai-Yuan Cai | 3 | 1332 | 121.70 |