Estimation, compression and classification of Volterra kernels with application to process diagnosis

Dorel Aiordăchioaie, E. Ceangă · Proceedings of the IEEE International Symposium on Computer-Aided Control System Design · 1999

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Type: article
Published: 1999-08-22
Cited by: 2
References: 5
DOI: https://doi.org/10.1109/cacsd.1999.808643
OpenAlex: https://openalex.org/W1797502406
Semantic Scholar: https://api.semanticscholar.org/CorpusID:61113484

Keywords

Volterra series, Kernel (algebra), Nonlinear system, Computer science, Artificial neural network

References

Perspectives on the Process of IdentificationLennart Ljung — 1993
Spectral modeling of switched-mode power convertersC.C. Chan, K. T. Chau — 1994
The mathematical foundations of associated expansions for mildly nonlinear systemsIrwin W. Sandberg — 1983
Modeling and identification of parallel nonlinear systems: structural classification and parameter estimation methodsHaiwen Chen — 1995
Polynomial System Identification using Neural NetworksKun Ouyang, P.L. Lee, Ian T. Cameron — 1993
025 Polynomial system identification using neural networks1994
Perspectives on the process of identification1995

Cited by

Detection and classification of non-linearities based on Volterra kernels processingDorel Aiordăchioaie, Emil Ceangă, Robin De Keyser — 2001
Fault Diagnosis in Nonlinear Circuit Based on Volterra Series and Recurrent Neural NetworkH. Yuan, Guangju Chen — 2006

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