5 papers · 1 filter
Identification of Errors-in-Variables ARX Models Using Modified Dynamic Iterative PCA
Deepak Maurya, Arun K. Tangirala, Shankar Narasimhan
Identification of autoregressive models with exogenous input (ARX) is a classical problem in system identification. This article considers the errors-in-variables (EIV) ARX model i…
Hypergraph Partitioning using Tensor Eigenvalue Decomposition
Deepak Maurya, Balaraman Ravindran
Hypergraphs have gained increasing attention in the machine learning community lately due to their superiority over graphs in capturing super-dyadic interactions among entities. In…
Identification of MISO systems in Minimal Realization Form
Chaithanya K. Donda, Deepak Maurya, Arun K. Tangirala +1
The paper is concerned with identifying transfer functions of individual input channels in minimal realization form of a Multi-Input Single Output (MISO) from the input-output data…
ARX Model Identification using Generalized Spectral Decomposition
Deepak Maurya, Arun K. Tangirala, Shankar Narasimhan
This article is concerned with the identification of autoregressive with exogenous inputs (ARX) models. Most of the existing approaches like prediction error minimization and state…
Incorporating prior knowledge about structural constraints in model identification
Deepak Maurya, Sivadurgaprasad Chinta, Abhishek Sivaram +1
Model identification is a crucial problem in chemical industries. In recent years, there has been increasing interest in learning data-driven models utilizing partial knowledge abo…