Publications

Deepak Maurya, Arun K. Tangirala, Shankar Narasimhan (2020). ARX Model Identification using Generalized Spectral Decomposition. 24th International Symposium on Mathematical Theory of Networks and Systems, MTNS 2020.

Deepak Maurya, Sivadurgaprasad Chinta, Abhishek Sivaram, Raghunathan Rengaswamy (2020). Incorporating prior knowledge about structural constraints in model identification.

Chaithanya K. Donda, Deepak Maurya, Arun K. Tangirala, Shankar Narasimhan (2020). Identification of MISO systems in Minimal Realization Form. 6th Conference on Advances in Control and Optimization of Dynamical Systems ACODS 2020.

Vipul Mann, Deepak Maurya, Arun K. Tangirala, Shankar Narasimhan (2020). Optimal Filtering and Residual Analysis in Errors-in-Variables Model Identification. Industrial & Engineering Chemistry Research.

Deepak Maurya, Balaraman Ravindran, Shankar Narasimhan (2019). Hypergraph Partitioning using Tensor Eigenvalue Decomposition. Accepted in Sets and Partitions workshop in NeurIPS 2019.

Deepak Maurya, Balaraman Ravindran, Shankar Narasimhan (2019). Hyperedge Prediction using Tensor Eigenvalue Decomposition. Accepted in Tensor Methods for Emerging Data Science Challenges (TMEDSC) workshop in KDD 2019.

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Deepak Maurya, Arun K. Tangirala, Shankar Narasimhan (2019). Identification of Output-Error (OE) Models using Generalized Spectral Decomposition. Fifth Indian Control Conference (ICC 2019).

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Deepak Maurya, Arun K. Tangirala, Shankar Narasimhan (2018). Identification of Errors-in-Variables Models Using Dynamic Iterative Principal Component Analysis. Industrial & Engineering Chemistry Research.

Deepak Maurya, Arun K. Tangirala, Shankar Narasimhan (2016). Identification of Linear Dynamic Systems using Dynamic Iterative Principal Component Analysis. In 11th IFAC Symposium on Dynamics and Control of Process Systems, including Biosystems (DYCOPS-CAB 2016).

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