Mathukumalli Vidyasagar - researchr alias

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2022

A prospective evaluation of breast thermography enhanced by a novel machine learning technique for screening breast abnormalities in a general population of women presenting to a secondary care hospitalRicha Bansal, Sathiakar Collison, Lakshmi Krishnan, Bharat Aggarwal, Mathukumalli Vidyasagar, Siva Teja Kakileti, Geetha Manjunath. frai, 5, 2022. [doi]

Modified Error Bounds for Matrix Completion and Application to RLShantanu Prasad Burnwal, Mathukumalli Vidyasagar. csysl, 6:1916-1921, 2022. [doi]

2021

SUTRA: An Approach to Modelling Pandemics with Undetected (Asymptomatic) Patients, and Applications to COVID-19Manindra Agrawal, Madhuri Kanitkar, Mathukumalli Vidyasagar. cdc 2021: 3531 [doi]

2020

Deterministic Completion of Rectangular Matrices Using Asymmetric Ramanujan Graphs: Exact and Stable RecoveryShantanu Prasad Burnwal, Mathukumalli Vidyasagar. tsp, 68:3834-3848, 2020. [doi]

Exact Completion of Rectangular Matrices Using Ramanujan BigraphsShantanu Prasad Burnwal, Mathukumalli Vidyasagar. amcc 2020: 2203-2206 [doi]

Deterministic Completion of Rectangular Matrices With Measurement Noise Using Unbalanced Ramanujan BigraphsShantanu Prasad Burnwal, Mathukumalli Vidyasagar. cdc 2020: 3477-3480 [doi]

Compressed Sensing Using Binary Matrices of Nearly Optimal DimensionsMahsa Lotfi, Mathukumalli Vidyasagar. tsp, 68:3008-3021, 2020. [doi]

CLOT norm minimization for continuous hands-off controlMasaaki Nagahara, Debasish Chatterjee, Niharika Challapalli, Mathukumalli Vidyasagar. automatica, 113:108679, 2020. [doi]

For Matrix Recovery, Rank Restricted Isometry Property and Robust Uniform Boundedness Property Imply Rank Robust Null Space PropertyShashank Ranjan, Mathukumalli Vidyasagar. amcc 2020: 2194-2196 [doi]

2019

2018

A Fast Noniterative Algorithm for Compressive Sensing Using Binary Measurement MatricesMahsa Lotfi, Mathukumalli Vidyasagar. tsp, 66(15):4079-4089, 2018. [doi]

Array LDPC Code-based Compressive SensingMahsa Lotfi, Mathukumalli Vidyasagar. allerton 2018: 682-685 [doi]

Inferring Genome-Wide Interaction Networks Using the Phi-Mixing Coefficient, and Applications to Lung and Breast CancerNitin K. Singh, Mehmet Eren Ahsen, Niharika Challapalli, Hyun Seok Kim, Michael A. White, Mathukumalli Vidyasagar. tmbmc, 4(3):123-139, 2018. [doi]

2017

2016

2015

2014

Mixing Coefficients Between Discrete and Real Random Variables: Computation and PropertiesMehmet Eren Ahsen, Mathukumalli Vidyasagar. tac, 59(1):34-47, 2014. [doi]

Near-ideal behavior of compressed sensing algorithmsMehmet Eren Ahsen, Mathukumalli Vidyasagar. cdc 2014: 6354-6357 [doi]

Near-ideal behavior of some compressed sensing algorithmsMehmet Eren Ahsen, Mathukumalli Vidyasagar. eucc 2014: 2216-2218 [doi]

2013

A sparse Bayesian learning based approach to Inferring Gene Regulatory NetworksNitin K. Singh, Aishwarya Sundaresan, Mathukumalli Vidyasagar. globalsip 2013: 113-116 [doi]

Near-ideal behavior of a modified Elastic Net algorithmMathukumalli Vidyasagar. cdc 2013: 6011-6012 [doi]

2012

A Metric Between Probability Distributions on Finite Sets of Different Cardinalities and Applications to Order ReductionMathukumalli Vidyasagar. tac, 57(10):2464-2477, 2012. [doi]

Computational Cancer Biology - An Interaction Network ApproachMathukumalli Vidyasagar. Springer Briefs in Electrical and Computer Engineering, Springer, 2012. [doi]

Convergence and compactness of families of proper plants in the graph topologyMathukumalli Vidyasagar, Yutaka Yamamoto. cdc 2012: 232-239 [doi]

2011

A recursive learning algorithm for model reduction of Hidden Markov ModelsKun Deng, Prashant G. Mehta, Sean P. Meyn, Mathukumalli Vidyasagar. cdc 2010: 4674-4679 [doi]

Probabilistic Methods in Cancer BiologyMathukumalli Vidyasagar. ejcon, 17(5-6):483-511, 2011. [doi]

Control System Synthesis: A Factorization Approach, Part IIMathukumalli Vidyasagar. Synthesis Lectures on Control and Mechatronics, Morgan & Claypool Publishers, 2011. [doi]

Control System Synthesis: A Factorization Approach, Part IMathukumalli Vidyasagar. Synthesis Lectures on Control and Mechatronics, Morgan & Claypool Publishers, 2011. [doi]

Compact sets in the graph topology and applications to approximation of system designYutaka Yamamoto, Mathukumalli Vidyasagar. cdc 2010: 621-626 [doi]

2010

Kullback-Leibler divergence rate between probability distributions on sets of different cardinalitiesMathukumalli Vidyasagar. cdc 2010: 948-953 [doi]

Reduced-order modeling of Markov and hidden Markov processes via aggregationMathukumalli Vidyasagar. cdc 2010: 1810-1815 [doi]

2009

An elementary derivation of the large deviation rate function for finite state Markov chainsMathukumalli Vidyasagar. cdc 2009: 1599-1606 [doi]

2008

The 4M (Mixed Memory Markov Model) Algorithm for Finding Genes in Prokaryotic GenomesMathukumalli Vidyasagar, Sharmila S. Mande, Ch. V. Siva K. Reddy, V. V. Raja Rao. tac, 53:26-37, 2008. [doi]

2001

Learning with prior informationMarco C. Campi, Mathukumalli Vidyasagar. tac, 46(11):1682-1695, 2001. [doi]

Randomized Algorithms for Robust Controller Synthesis Using Statistical Learning Theory: A Tutorial OverviewMathukumalli Vidyasagar. ejcon, 7(2-3):287-310, 2001. [doi]

System identification: a learning theory approachMathukumalli Vidyasagar, Rajeeva L. Karandikar. cdc 2001: 2001-2006 [doi]

1995

Minimum-seeking properties of analog neural networks with multilinear objective functionsMathukumalli Vidyasagar. tac, 40(8):1359-1375, 1995. [doi]

1993

Location and stability of the high-gain equilibria of nonlinear neural networksMathukumalli Vidyasagar. tnn, 4(4):660-672, 1993. [doi]

1992

Modeling a class of multilink manipulators with the last link flexibleDavid Wang, Mathukumalli Vidyasagar. trob, 8(1):33-41, 1992. [doi]

1991

Observer-controller stabilization of a class of manipulators with a single flexible linkDavid Wang 0001, Mathukumalli Vidyasagar. icra 1990: 516-521 [doi]

Transfer Functions for a Single Flexible LinkDavid Wang, Mathukumalli Vidyasagar. ijrr, 10(5):540-549, 1991. [doi]

1990

Optimal control of robotic manipulators in the presence of obstaclesYao-Chon Chen, Mathukumalli Vidyasagar. jfr, 7(5):721-740, 1990. [doi]

1988

Optimal trajectory planning for planar n-link revolute manipulators in the presence of obstaclesYao-Chon Chen, Mathukumalli Vidyasagar. icra 1988: 202-208 [doi]

Control of a single-link flexible beam using a Hankel-norm-based reduced order modelH. Krishnan, Mathukumalli Vidyasagar. icra 1988: 9-14 [doi]

Modelling of a 5-bar-linkage manipulator with one flexible linkDavid Wang, Mathukumalli Vidyasagar. icra 1988: 21-26 [doi]

1986

New directions of research in nonlinear system theoryMathukumalli Vidyasagar. pieee, 74(8):1060-1091, 1986. [doi]

1985

Nonlinear systems: Stability analysisJake K. Aggarwal, Mathukumalli Vidyasagar. tsmc, 15(4):596-597, 1985. [doi]

Robust linear compensator design for nonlinear robotic controlMark W. Spong, Mathukumalli Vidyasagar. icra 1985: 954-959 [doi]

1982

Nonlinear Systems: Stability AnalysisJake K. Aggarwal, Mathukumalli Vidyasagar, Vimal Singh. tsmc, 12(3):432, 1982. [doi]

1980

Qualitative Analysis of Large Scale Dynamical SystemsAnthony N. Michel, Richard K. Miller, Mathukumalli Vidyasagar. tsmc, 10(10):689, 1980. [doi]

Nonlinear Systems AnalysisMathukumalli Vidyasagar, Charles A. Desoer. tsmc, 10(8):537-538, 1980. [doi]

1977

New algorithms for constrained minimax optimizationS. R. K. Dutta, Mathukumalli Vidyasagar. mp, 13(1):140-155, 1977. [doi]

1972

Review of "The Analysis of Feedback Systems" by Jan C. WillemsMathukumalli Vidyasagar. tsmc, 2(4):559-560, 1972. [doi]

Review of "Nonlinear System Theory-A Functional Analysis Approach" by Jack M. HoltzmanMathukumalli Vidyasagar. tsmc, 2(4):560, 1972. [doi]

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