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ACSD
2007
IEEE
102views Hardware» more  ACSD 2007»
14 years 2 months ago
Sensor Minimization Problems with Static or Dynamic Observers for Fault Diagnosis
We study sensor minimization problems in the context of fault diagnosis. Fault diagnosis consists in synthesizing a diagnoser that observes a given plant and identifies faults in...
Franck Cassez, Stavros Tripakis, Karine Altisen
INFORMATICALT
2010
122views more  INFORMATICALT 2010»
13 years 7 months ago
On a Time-Varying Parameter Adaptive Self-Organizing System in the Presence of Large Outliers in Observations
In the previous papers (Pupeikis, 2000; Genov et al., 2006; Atanasov and Pupeikis, 2009), a direct approach for estimating the parameters of a discrete-time linear time-invariant (...
Rimantas Pupeikis
FUIN
2008
83views more  FUIN 2008»
13 years 8 months ago
Fault Diagnosis with Static and Dynamic Observers
We study sensor minimization problems in the context of fault diagnosis. Fault diagnosis consists in synthesizing a diagnoser that observes a given plant and identifies faults in t...
Franck Cassez, Stavros Tripakis
TIM
2010
144views Education» more  TIM 2010»
13 years 3 months ago
A Decentralized Observer for Ship Power System Applications: Implementation and Experimental Validation
In the last few years, the growing complexity of the electrical power networks, mainly due to the increased use of electronic converters together with the requirements of a higher ...
Andrea Benigni, Gabriele D'Antona, U. Ghisla, Anto...
ICASSP
2011
IEEE
13 years 8 days ago
Learning and inference algorithms for partially observed structured switching vector autoregressive models
We present learning and inference algorithms for a versatile class of partially observed vector autoregressive (VAR) models for multivariate time-series data. VAR models can captu...
Balakrishnan Varadarajan, Sanjeev Khudanpur