DocumentCode :
1736446
Title :
Networked fault detection of nonlinear systems
Author :
Alavi, S. M Mahdi ; Saif, Mehrdad
Author_Institution :
Sch. of Eng. Sci., Simon Fraser Univ., Burnaby, BC, Canada
fYear :
2011
Firstpage :
964
Lastpage :
969
Abstract :
This paper addresses Fault Detection (FD) problem of a class of nonlinear systems which are monitored via the communications networks. A sufficient condition is derived which guarantees exponential mean-square stability of the proposed nonlinear NFD systems in the presence of packet drop, quantization error and unwanted exogenous inputs such as disturbance and noise. A Linear Matrix Inequality (LMI) is obtained for the design of the fault detection filter parameters. Finally, the effectiveness of the proposed NFD technique is extensively assessed by using an experimental testbed that has been built for performance evaluation of such systems with the use of IEEE 802.15.4 Wireless Sensor Networks (WSNs) technology. An algorithm is presented to handle floating point calculus when connecting the WSNs to the engineering design softwares such as Matlab.
Keywords :
Zigbee; asymptotic stability; fault diagnosis; filtering theory; floating point arithmetic; linear matrix inequalities; networked control systems; nonlinear control systems; wireless sensor networks; IEEE 802.15.4; LMI; WSN; communications network; exponential mean-square stability; fault detection filter parameter; floating point calculus; linear matrix inequality; networked fault detection; nonlinear networked control system; packet drop; quantization error; wireless sensor network; Fault detection; Mathematical model; Nonlinear systems; Quantization; Stability analysis; Symmetric matrices; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Applications (CCA), 2011 IEEE International Conference on
Conference_Location :
Denver, CO
Print_ISBN :
978-1-4577-1062-9
Electronic_ISBN :
978-1-4577-1061-2
Type :
conf
DOI :
10.1109/CCA.2011.6044434
Filename :
6044434
Link To Document :
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