1,721,026 research outputs found
Actuator Fault Detection in Nonlinear Uncertain Systems Using Neural On-line Approximation Models
No full textA Distributed Fault Detection Filtering Approach for a Class of Interconnected Continuous-Time Nonlinear Systems
No full textThis paper develops a filtering approach for distributed
fault detection of a class of interconnected continuoustime
nonlinear systems with modeling uncertainties, disturbances
and measurement noise. A distributed fault detection scheme
and the corresponding adaptive thresholds are designed based on
filtering certain signals so that the effect of the measurement noise
and of the disturbances is attenuated, allowing for the design
of less conservative thresholds. A key novelty of the proposed
work is that a general class of filters can be embedded into
the design of the residual and threshold signals in a way that
takes advantage of the filtering noise suppression properties. The
analysis of the proposed distributed fault detection scheme shows
that the derived thresholds guarantee that there are no false
alarms and characterizes quantitatively the class of detectable
faults. Further rigorous detectability analysis provides results
regarding the magnitude of the detected faults, an upper bound
on the detection time and the relation of the detection time
with respect to the order and pole locations of the filters used.
Simulation results are used to illustrate the proposed distributed
fault filtering approach
Distributed Fault Diagnosis with Overlapping Decompositions: an Adaptive Approximation Approach
No full textIntegrated design of fault diagnosis and accommodation schemes for a class of nonlinear systems
No full text
Cooperative control of distributed agents with nonlinear dynamics and delayed information exchange: a stabilizing receding-horizon approach
No full textDistributed Fault Diagnosis for Continuous-Time Nonlinear Systems: the Input-Output case
No full textIn this paper, some new results on distributed fault diagnosis of continuous--time nonlinear systems with partial state measurements are proposed. By exploiting an overlapping decomposition framework, the dynamics of a nonlinear uncertain large-scale dynamical system is described as the interconnections of several subsystems. Each subsystem is monitored by a Local Fault Diagnoser: a set of local estimators, based on the nominal local dynamic model and on an adaptive approximation of the interconnection and of the fault function, allows to derive a local fault decision. A consensus-based protocol is used in order to improve the detectability and the isolability of faults affecting variables shared among different subsystems because of the overlapping decomposition. A sufficient condition ensuring the convergence of the estimation errors is derived. Finally, possibly non-conservative time-varying threshold functions guaranteeing no false-positive alarms and theoretical results dealing with detectability and isolability sufficent conditions are presented
Actuator fault detection in nonlinear uncertain systems using neural on-line approximation models
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