activity
20122022
most citedOn Multisequences and their extensions

6 citations · 7 across the 6 of their papers we have counts for

collaborators

9 papers

eess.SY2022

H Optimal Model Order Reduction over a Finite Time Interval

Kasturi Das, Srinivasan Krishnaswamy, Somanath Majhi

For a time-limited version of the H norm defined over a fixed time interval, we obtain a closed form expression of the gradients. After that, we use the gradients to propose a…

eess.SY20211 cited

Near Optimal Interpolation based Time-Limited Model Order Reduction

Kasturi Das, Srinivasan Krishnaswamy, Somanath Majhi

This paper presents an interpolatory framework for time-limited optimal model order reduction named Limited Time Iterative Rational Krylov Algorithm (LT-IRKA). The algorithm…

eess.SY2020

On Passivity, Feedback Passivity, And Feedback Passivity Over Erasure Network: A Piecewise Affine Approximation Approach

Abhijit Mazumdar, Srinivasan Krishnaswamy, Somanath Majhi

In this paper, we deal with the problem of passivity and feedback passification of smooth discrete-time nonlinear systems by considering their piecewise affine approximations. Suff…

cs.CR2020

The application of -LFSR in Key-Dependent Feedback Configuration for Word-Oriented Stream Ciphers

Subrata Nandi, Srinivasan Krishnaswamy, Behrouz Zolfaghari +1

In this paper, we propose and evaluate a method for generating key-dependent feedback configurations (KDFC) for -LFSRs. -LFSRs with such configurations can be applied to any…

eess.SY2019

Optimal Control of Jump Systems Over Multiple Lossy Communication Channels

Abhijit Mazumdar, Srinivasan Krishnaswamy, Somanath Majhi

In this paper, we consider the optimal control problem for a Markovian jump linear system (MJLS) over a lossy communication network. It is assumed that the controller…

cs.CR2019

Fully Homomorphic Encryption based on Multivariate Polynomial Evaluation

Uddipana Dowerah, Srinivasan Krishnaswamy

We propose a multi-bit leveled fully homomorphic encryption scheme using multivariate polynomial evaluations. The security of the scheme depends on the hardness of the Learning wit…