2 citations · 4 across the 21 of their papers we have counts for
24 papers
Multi-Mode Inverters: A Unified Control Design for Grid-Forming, Grid-Following, and Beyond
Alireza Askarian, Jaesang Park, Srinivasa Salapaka
We present a novel, integrated control framework designed to achieve seamless transitions among a spectrum of inverter operation modes. The operation spectrum includes grid-forming…
Inverter Output Impedance Estimation in Power Networks: A Variable Direction Forgetting Recursive-Least-Square Algorithm Based Approach
Jaesang Park, Alireza Askarian, Srinivasa Salapaka
As inverter-based loads and energy sources become increasingly prevalent, accurate estimation of line impedance between inverters and the grid is essential for optimizing performan…
Control Designs for Critical-Continegency Responsible Grid-Following Inverters and Seamless Transitions To and From Grid-Forming Modes
Jaesang Park, Alireza Askarian, Srinivasa Salapaka
This article introduces two control frameworks: one for Grid-Following (GFL) inverters aiding Grid-Forming (GFM) inverters in voltage regulation during large contingency events and…
Sparse Linear Regression with Constraints: A Flexible Entropy-based Framework
Amber Srivastava, Alisina Bayati, Srinivasa Salapaka
This work presents a new approach to solve the sparse linear regression problem, i.e., to determine a k-sparse vector w in R^d that minimizes the cost ||y - Aw||^2_2. In contrast t…
Enhanced Grid Following Inverter (E-GFL): A Unified Control Framework for Stiff and Weak Grids
Alireza Askarian, Jaesang Park, Srinivasa Salapaka
This paper presents an extensive framework focused on the control design, along with stability and performance analysis, of Grid-Following Inverters (GFL). It aims to ensure their…
One-shot Generative Distribution Matching for Augmented RF-based UAV Identification
Amir Kazemi, Salar Basiri, Volodymyr Kindratenko +1
This work addresses the challenge of identifying Unmanned Aerial Vehicles (UAV) using radiofrequency (RF) fingerprinting in limited RF environments. The complexity and variability…
Orthogonal Nonnegative Matrix Factorization with Sparsity Constraints
Salar Basiri, Alisina Bayati, Srinivasa Salapaka
This article presents a novel approach to solving the sparsity-constrained Orthogonal Nonnegative Matrix Factorization (SCONMF) problem, which requires decomposing a non-negative d…
Towards Efficient Modularity in Industrial Drying: A Combinatorial Optimization Viewpoint
Alisina Bayati, Amber Srivastava, Amir Malvandi +2
The industrial drying process consumes approximately 12% of the total energy used in manufacturing, with the potential for a 40% reduction in energy usage through improved process…
Time-Varying Parameters in Sequential Decision Making Problems
Amber Srivastava, S. M. Salapaka
In this paper we address the class of Sequential Decision Making (SDM) problems that are characterized by time-varying parameters. These parameter dynamics are either pre-specified…
Control Design for Inverters: Beyond Steady-State Droop Laws
Alireza Askarian, Jaesang Park, Srinivasa Salapaka
This paper presents a novel control structure and control synthesis method for regulating the output voltage/frequency and power injection of DC-AC inverters. The traditional droop…
Design of Experiments with Imputable Feature Data: An Entropy-Based Approach
Raj K. Velicheti, Amber Srivastava, Srinivasa M. Salapaka
Tactical selection of experiments to estimate an underlying model is an innate task across various fields. Since each experiment has costs associated with it, selecting statistical…
On Determining and Qualifying the Number of Superstates in Aggregation of Markov Chains
Amber Srivastava, Raj K. Velicheti, Srinivasa M. Salapaka
Many studies involving large Markov chains require determining a smaller representative (aggregated) chains. Each {\em superstate} in the representative chain represents a {\em gro…
Parameterized MDPs and Reinforcement Learning Problems -- A Maximum Entropy Principle Based Framework
Amber Srivastava, Srinivasa M Salapaka
We present a framework to address a class of sequential decision making problems. Our framework features learning the optimal control policy with robustness to noisy data, determin…
Isochronous Architecture-Based Voltage-Active Power Droop for Multi-Inverter Systems
Sourav Patel, Soham Chakraborty, Blake Lundstrom +2
Advanced microgrids consisting of distributed energy resources interfaced with multi-inverter systems are becoming more common. Consequently, the effectiveness of voltage and frequ…
Inequality Constraints in Facility Location and Other Similar Optimization Problems: An Entropy Based Approach
Amber Srivastava, Gabriel Barsi Haberfeld, Naira Hovakimyan +1
In this paper we propose an annealing based framework to incorporate inequality constraints in optimization problems such as facility location, simultaneous facility location with…
A Clustering Approach to Edge Controller Placement in Software Defined Networks with Cost Balancing
Reza Soleymanifar, Amber Srivastava, Carolyn Beck +1
In this work we introduce two novel deterministic annealing based clustering algorithms to address the problem of Edge Controller Placement (ECP) in wireless edge networks. These n…
Multiway k-Cut in Static and Dynamic Graphs: A Maximum Entropy Principle Approach
Mayank Baranwal, Amber Srivastava, Srinivasa Salapaka
This work presents a maximum entropy principle based algorithm for solving minimum multiway -cut problem defined over static and dynamic {\em digraphs}. A multiway -cut probl…
On the Persistence of Clustering Solutions and True Number of Clusters in a Dataset
Amber Srivastava, Mayank Baranwal, Srinivasa Salapaka
Typically clustering algorithms provide clustering solutions with prespecified number of clusters. The lack of a priori knowledge on the true number of underlying clusters in the d…
Robust Distributed Control of DC Microgrids with Time-Varying Power Sharing
Mayank Baranwal, Alireza Askarian, Srinivasa M. Salapaka
This paper addresses the problem of output voltage regulation for multiple DC/DC converters connected to a microgrid, and prescribes a scheme for sharing power among different sour…
Clustering with Capacity and Size Constraints: A Deterministic Approach
Mayank Baranwal, Srinivasa M. Salapaka
This paper discusses a deterministic clustering approach to capacitated resource allocation problems. In particular, the Deterministic Annealing (DA) algorithm from the data-compre…
A Deterministic Annealing Approach to the Multiple Traveling Salesmen and Related Problems
Mayank Baranwal, Brian Roehl, Srinivasa M. Salapaka
This paper presents a novel and efficient heuristic framework for approximating the solutions to the multiple traveling salesmen problem (m-TSP) and other variants on the TSP. The…
Robust Control Framework for Time-Varying Power-Sharing among Distributed Energy Resources
Mayank Baranwal, Srinivasa M. Salapaka
One of the most important challenges facing an electric grid is to incorporate renewables and distributed energy resources (DERs) to the grid. Because of the associated uncertainti…
Vehicle Routing Problem with Time Windows: A Deterministic Annealing approach
Mayank Baranwal, Pratik M. Parekh, Lavanya Marla +2
The Vehicle Routing Problem with Time-Windows (VRPTW) is an important problem in allocating resources on networks in time and space. We present in this paper a Deterministic Anneal…
Robust Decentralized Voltage Control of DC-DC Converters with Applications to Power Sharing and Ripple Sharing
Mayank Baranwal, Srinivasa M. Salapaka, Murti V. Salapaka
This paper addresses the problem of output voltage regulation for multiple DC-DC converters connected to a grid, and prescribes a robust scheme for sharing power among different so…