Title :
Nonlinear observer-based parameter estimation and fault diagnosis in dynamic systems
Author_Institution :
Inst. for Autom. & Control Processes, Vladivostok, Russia
fDate :
Aug. 31 1999-Sept. 3 1999
Abstract :
The problems related to nonlinear observer design for on-line parameter estimation are considered with application to diagnosis in dynamic systems. An approach is proposed for observer design involving nonlinear transformation of extended parameterized system model. The properties of diagnostic procedure are investigated. The results are demonstrated for SISO nonlinear forced-motion model of underwater vehicle.
Keywords :
control system synthesis; fault diagnosis; nonlinear control systems; observers; parameter estimation; time-varying systems; SISO nonlinear forced-motion model; dynamic systems; extended parameterized system model; fault diagnosis; nonlinear observer design; nonlinear observer-based parameter estimation; online parameter estimation; underwater vehicle; Actuators; Adaptive systems; Fault diagnosis; Mathematical model; Observers; Parameter estimation; Nonlinear systems; fault detection; observers; parameter estimation;
Conference_Titel :
Control Conference (ECC), 1999 European
Conference_Location :
Karlsruhe
Print_ISBN :
978-3-9524173-5-5
