Geodesic
Detection and accommodation of second order distributed parameter systems with abrupt changes in input term: stability and adaptation
Kybernetika, Tome 34 (1998) no. 6, p. [667].

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In this note, we employ nonlinear on-line parameter estimation methods based on adaptive neural network approximators for detecting changes due to actuator faults in a class of second order distributed parameter systems. The motivating example is a cantilevered beam actuated via a pair of piezoceramic patches. We examine changes in the control input term, which provide a simple and practical model of actuator failures. Using Lyapunov redesign methods, a stable learning scheme for fault diagnosis is proposed. The resulting fault diagnosis scheme is utilized for control reconfiguration in order to accommodate the system’s actuator failure. A numerical algorithm is provided for the implementation of the detection and accommodation scheme and simulation studies are used to illustrate the applicability of the theoretical results.
Classification : 65K10, 93C10, 93C40, 93E10, 93E12
Keywords: nonlinear estimator; fault detection; Lyapunov redesign methods 
@article{KYB_1998__34_6_a5,
     author = {Demetriou, Michael A. and Polycarpou, Marios M.},
     title = {Detection and accommodation of second order distributed parameter systems with abrupt changes in input term: stability and adaptation},
     journal = {Kybernetika},
     pages = {[667]},
     publisher = {mathdoc},
     volume = {34},
     number = {6},
     year = {1998},
     mrnumber = {1695370},
     zbl = {1274.93145},
     language = {en},
     url = {http://geodesic.mathdoc.fr/item/KYB_1998__34_6_a5/}
}
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%A Polycarpou, Marios M.
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Demetriou, Michael A.; Polycarpou, Marios M. Detection and accommodation of second order distributed parameter systems with abrupt changes in input term: stability and adaptation. Kybernetika, Tome 34 (1998) no. 6, p. [667]. http://geodesic.mathdoc.fr/item/KYB_1998__34_6_a5/