Fault Diagnosis Scheme for Nonlinear Stochastic Hybrid Systems With Time-Varying Fault

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F12%3A00197384" target="_blank" >RIV/68407700:21230/12:00197384 - isvavai.cz</a>
Alternative codes found
RIV/67985556:_____/12:00382348
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Fault Diagnosis Scheme for Nonlinear Stochastic Hybrid Systems With Time-Varying Fault
Original language description
This paper studies the problem of the fault estimation for a class of time-varying faults using output probability density function (PDF). The system studied is a nonlinear stochastic hybrid system with time-dependent switchings. The measured output is viewed as a stochastic process and its PDF is modeled, which leads to a deterministic dynamical model including nonlinearities and uncertainties. A new adaptive fault diagnosis algorithm is proposed to improve the performance of the fault estimation. Theproposed algorithm contains both the proportional and the integral term. The proportional term can improve the speed of the fault estimation, while the integral term can eliminate estimation error. Then, based on linear matrix inequality (LMI) technique,a feasible algorithm is explored to solve the designed parameters. Additionally, simulation results are given to show the efficiency of the proposed approach.
Czech name
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Czech description
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Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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