1 citations · 3 across the 20 of their papers we have counts for
21 papers
To Erase, or Not to Erase: Robust Training-Free Concept Erasure with Preservation aware Adaptive Ranked Subspace Expansion
Shaswati Saha, Rajasekhar Anguluri, Manas Gaur
Concept erasure techniques (CETs) edit text-to-image diffusion models to erase undesired targets such as NSFW content or copyrighted styles, while preserving model utility on benig…
A Constrained Formulation for Simultaneous Line Parameter Estimation and Instrument Transformer Calibration
Antos Cheeramban Varghese, Rajasekhar Anguluri, Anamitra Pal
The process of calibrating instrument transformers (ITs) has been greatly simplified by using phasor measurement unit (PMU) data since this process eliminates the need for (a) addi…
Alternating Minimization for Time-Shifted Synergy Extraction in Human Hand Coordination
Trevor Stepp, Parthan Olikkal, Ramana Vinjamuri +1
Identifying motor synergies -- coordinated hand joint patterns activated at task-dependent time shifts -- from kinematic data is central to motor control and robotics. Existing two…
State-Derivative Feedback Control for Damping Low-Frequency Oscillations in Bulk Power Systems
MST Rumi Akter, Anamitra Pal, Rajasekhar Anguluri
Low-frequency oscillations remain a major challenge in bulk power systems with high renewable penetration, long lines, and large loads. Existing damping strategies based on power m…
Laplacian Flows in Complex-valued Directed Networks: Analysis, Design, and Consensus
Aditi Saxena, Twinkle Tripathy, Rajasekhar Anguluri
In the interdisciplinary field of network science, a complex-valued network, with edges assigned complex weights, provides a more nuanced representation of relationships by capturi…
A Practical Approach Towards Inertia Estimation Using Ambient Synchrophasor Data
Anushka Sharma, Anamitra Pal, Rajasekhar Anguluri +1
Real-time tracking of inertia is important because it reflects the power system's ability to withstand contingencies and maintain frequency security. This paper proposes a practica…
Mode Participation and Inter-Area-Observability Blocking Controllers for Power Networks
Rajasekhar Anguluri, Abdullah Al Maruf
In recent papers [1] and [2], the second author developed full-state feedback controllers for networked systems to block the observability and controllability of certain remote nod…
Structure Learning via ADMM in Networks obeying Conservation Laws
Rohith Reddy Mada, Rajasekhar Anguluri
Learning the edge connectivity structure of networked systems from limited data is a fundamental challenge in many critical infrastructure domains, including power, traffic, and fi…
Learning Networks from Wide-Sense Stationary Stochastic Processes
Anirudh Rayas, Jiajun Cheng, Rajasekhar Anguluri +2
Complex networked systems driven by latent inputs are common in fields like neuroscience, finance, and engineering. A key inference problem here is to learn edge connectivity from…
Are the flows of complex-valued Laplacians and their pseudoinverses related?
Aditi Saxena, Twinkle Tripathy, Rajasekhar Anguluri
Laplacian flows model the rate of change of each node's state as being proportional to the difference between its value and that of its neighbors. Typically, these flows capture di…
Real Eventual Exponential Positivity of Complex-valued Laplacians: Applications to Consensus in Multi-agent Systems
Aditi Saxena, Twinkle Tripathy, Rajasekhar Anguluri
In this paper, we explore the property of eventual exponential positivity (EEP) in complex matrices. We show that this property holds for the real part of the matrix exponential fo…
Resilient Infrastructure Network: Sparse Edge Change Identification via L1-Regularized Least Squares
Rajasekhar Anguluri
Adversarial actions and a rapid climate change are disrupting operations of infrastructure networks (e.g., energy, water, and transportation systems). Unaddressed disruptions lead…
Localizing Single and Multiple Oscillatory Sources: A Frequency Divider Approach
Rajasekhar Anguluri, Anamitra Pal
Localizing sources of troublesome oscillations, particularly forced oscillations (FOs), in power systems has received considerable attention over the last few years. This is driven…
Model Predictive Control for Joint Ramping and Regulation-Type Service from Distributed Energy Resource Aggregations
Joel Mathias, Rajasekhar Anguluri, Oliver Kosut +1
Distributed energy resources (DERs) such as grid-responsive loads and batteries can be harnessed to provide ramping and regulation services across the grid. This paper concerns the…
Differential Analysis for Networks Obeying Conservation Laws
Anirudh Rayas, Rajasekhar Anguluri, Jiajun Cheng +1
Networked systems that occur in various domains, such as the power grid, the brain, and opinion networks, are known to obey conservation laws. For instance, electric networks obey…
Robust Model Selection of Gaussian Graphical Models
Abrar Zahin, Rajasekhar Anguluri, Lalitha Sankar +2
In Gaussian graphical model selection, noise-corrupted samples present significant challenges. It is known that even minimal amounts of noise can obscure the underlying structure,…
Parameter Estimation in Ill-conditioned Low-inertia Power Systems
Rajasekhar Anguluri, Lalitha Sankar, Oliver Kosut
This paper examines model parameter estimation in dynamic power systems whose governing electro-mechanical equations are ill-conditioned or singular. This ill-conditioning is becau…
A Complex-LASSO Approach for Localizing Forced Oscillations in Power Systems
Rajasekhar Anguluri, Nima Taghipourbazargani, Oliver Kosut +1
We study the problem of localizing multiple sources of forced oscillations (FOs) and estimating their characteristics, such as frequency, phase, and amplitude, using noisy PMU meas…
Localization and Estimation of Unknown Forced Inputs: A Group LASSO Approach
Rajasekhar Anguluri, Lalitha Sankar, Oliver Kosut
We model and study the problem of localizing a set of sparse forcing inputs for linear dynamical systems from noisy measurements when the initial state is unknown. This problem is…
Network Theoretic Analysis of Maximum a Posteriori Detectors for Optimal Input Detection
Rajasekhar Anguluri, Vaibhav Katewa, Sandip Roy +1
This paper considers maximum-a-posteriori (MAP) and linear discriminant based MAP detectors to detect changes in the mean and covariance of a stochastic input, driving specific net…
Centralized Versus Decentralized Detection of Attacks in Stochastic Interconnected Systems
Rajasekhar Anguluri, Vaibhav Katewa, Fabio Pasqualetti
We consider a security problem for interconnected systems governed by linear, discrete, time-invariant, stochastic dynamics, where the objective is to detect exogenous attacks by p…