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

0382348 - ÚTIA 2013 RIV PE eng C - Konferenční příspěvek (zahraniční konf.)
Nguyen, H.Q. - Čelikovský, Sergej
Fault Diagnosis Scheme for Nonlinear Stochastic Hybrid Systems With Time-Varying Fault.
Memoria XV Congreso Latinoamericano de Control Automático CLCA 2012 Proceedings. Lima: Tarea Asociación Gráfica Educativa, Lima, Peru, 2012, s. 1-7. ISBN 978-612-4057-71-7.
[15th Latinamerican Control Conference CLCA 2012. Lima (PE), 23.10.2012-26.10.2012]
Institucionální podpora: RVO:67985556
Klíčová slova: Fault detection and diagnosis * nonlinear stochastic hybrid system * B-spline functions * probability density function(PDF)
Kód oboru RIV: BC - Teorie a systémy řízení

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. The proposed 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 e ciency of the proposed approach.
Trvalý link: http://hdl.handle.net/11104/0212588