Arun K. Tangirala

发表

On-Line Fault Detection in Non-Linear Systems using Self-Organizing Maps

Anshu Gupta, Arun K. Tangirala, 2011 .

Identification of approximate models for LTI multiscale systems

Arun K. Tangirala, Vivek S. Pinnamaraju, 2018, 2018 Indian Control Conference (ICC).

Optimal Filtering and Residual Analysis in Errors-in-variables Model Identification

Arun K. Tangirala, Shankar Narasimhan, Vipul Mann, 2020 .

Evaluation of Clustering Algorithms for the Prediction of Trends in Bus Travel Time

Lelitha Vanajakshi, Arun K. Tangirala, Hima Elsa Shaji, 2018, Transportation Research Record: Journal of the Transportation Research Board.

Wavelets Applications in Modeling and Control

Akhilanand Pati Tiwari, Arun K. Tangirala, Siddhartha Mukhopadhyay, 2013 .

A Novel Causality Method for Reconstruction of Process Topology in Multivariable LTI Dynamical Systems

Arun K. Tangirala, Sudhakar Kathari, A. Tangirala, 2019, 2019 58th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE).

Reconstruction of missing data in multivariate processes with applications to causality analysis

Arun K. Tangirala, Piyush Agarwal, A. Tangirala, 2017 .

Wavelet based Steglitz Mc-Bride algorithm for Identification of Multiscale Output-Error Models

Arun K. Tangirala, Vivek S. Pinnamaraju, 2018 .

Inferring Direct Causality from Noisy Data using Convergent Cross Mapping

Arun K. Tangirala, P V Krishna, A. Tangirala, 2019, 2019 58th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE).

ARX Model Identification using Generalized Spectral Decomposition pdf

Arun K. Tangirala, Shankar Narasimhan, Deepak Maurya, 2020, IFAC-PapersOnLine.

Principles of System Identification

Arun K. Tangirala, A. Tangirala, 2014 .

Identification of Errors-in-Variables ARX Models Using Modified Dynamic Iterative PCA pdf

Arun K. Tangirala, Shankar Narasimhan, Deepak Maurya, 2020, J. Frankl. Inst..

A systems-theoretic approach towards designing biological networks for perfect adaptation

Arun K. Tangirala, Karthik Raman, Priyan Bhattacharya, 2018 .

A DATA-BASED MEASURE FOR INTERACTIONS IN MULTIVARIATE SYSTEMS

Sirish L. Shah, Arun K. Tangirala, Claudio Scali, 2006 .

Online Estimation of Missing Data Using Sparse Optimization Techniques With Applications to Classical Control

Arun K. Tangirala, Satheesh K. Perepu, A. Tangirala, 2019, IEEE Transactions on Control Systems Technology.

Issues in multirate process control

Dongguang Li, Sirish L. Shah, Tongwen Chen, 1999, Proceedings of the 1999 American Control Conference (Cat. No. 99CH36251).

An adaptive regression adjusted monitoring and fault isolation scheme

Wei Jiang, Arun K. Tangirala, Hancong Liu, 2006 .

Identification of Output-Error (OE) Models using Generalized Spectral Decomposition

Arun K. Tangirala, Shankar Narasimhan, Deepak Maurya, 2019, 2019 Fifth Indian Control Conference (ICC).

Detection and diagnosis of model-plant mismatch in MIMO systems using plant-model ratio

Arun K. Tangirala, Suraj Yerramilli, 2016 .

Sliding Mode Controller For Unstable Systems

M. Chidambaram, Arun K. Tangirala, S. Sivaramakrishnan, 2008 .

Detection and diagnosis of model-plant mismatch in multivariable model-based control schemes

Arun K. Tangirala, Suraj Yerramilli, A. Tangirala, 2018, Journal of Process Control.

Performance Comparison of Multirate vs. Single-Rate Systems

Sirish L. Shah, Tongwen Chen, Arun K. Tangirala, 2000 .

SYSID: An open-source library for system identification

Kannan M. Moudgalya, Arun K. Tangirala, Suraj Yerramilli, 2017, 2017 Indian Control Conference (ICC).

Integrated Set-Point Learning for Iterative Learning Control

Arun K. Tangirala, Aditya V. Thomas, 2019, 2019 58th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE).

Challenges in the discrete-time identification of LTI multiscale systems: A critical overview

Arun K. Tangirala, Vivek S. Pinnamaraju, A. Tangirala, 2017, 2017 6th International Symposium on Advanced Control of Industrial Processes (AdCONIP).

Interaction assessment in multivariable control systems through causality analysis

Arun K. Tangirala, Abhinav Garg, A. Tangirala, 2014 .

Efficient Reconstruction of Granger-Causal Networks in Linear Multivariable Dynamical Processes

Arun K. Tangirala, Sudhakar Kathari, A. Tangirala, 2019, Industrial & Engineering Chemistry Research.

Identification of FIR Models for LTI Multiscale Systems using Sparse Optimization Techniques

Arun K. Tangirala, Vivek S. Pinnamaraju, 2018 .

Reconstruction of missing data using compressed sensing techniques with adaptive dictionary

Arun K. Tangirala, Satheesh K. Perepu, A. Tangirala, 2016 .

Empirical Detection of Time Scales in LTI Systems using Sparse Optimization Techniques

Arun K. Tangirala, Vivek S. Pinnamaraju, A. Tangirala, 2018, IEEE Control Systems Letters.

Adaptive Model Predictive Control of Module Temperature in Photovoltaic Systems

Arun K. Tangirala, Dheeraj Kumar, A. Tangirala, 2021 .

A Multivariate Analysis Framework for Vehicle Detection from Loop Data under Heterogeneous and Less Lane Disciplined Traffic

Arun K. Tangirala, Lelitha Devi Vanajakshi, Niraj Kumar Singh, 2021, IEEE Access.

Effects of Clustering Feature Vectors on Bus Travel Time Prediction: A Case Study

Lelitha Vanajakshi, Arun K. Tangirala, Hima Elsa Shaji, 2021, 2021 International Conference on COMmunication Systems & NETworkS (COMSNETS).

Non-Negative Matrix Factorization for Detection and Diagnosis of Plant-Wide Oscillations

Sirish L. Shah, Arun K. Tangirala, Jitendria Kanodia, 2006 .

A systems perspective on non-normality in low-order thermoacoustic models: Full norms, semi-norms and transient growth

Wolfgang Polifke, Arun K. Tangirala, Raman Sujith, 2017 .

Non-Negative Matrix Factorization for Detection and Diagnosis of Plantwide Oscillations

Sirish L. Shah, Arun K. Tangirala, A. Tangirala, 2007 .