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20202023
most citedNesterov Acceleration for Equality-Constrained Convex Optimization via Continuously Differentiable Penalty Functions

14 citations · 25 across the 9 of their papers we have counts for

collaborators

9 papers

math.OC2023

Accelerated Algorithms for a Class of Optimization Problems with Equality and Box Constraints

Anjali Parashar, Priyank Srivastava, Anuradha M. Annaswamy

Convex optimization with equality and inequality constraints is a ubiquitous problem in several optimization and control problems in large-scale systems. Recently there has been a…

math.OC2022

Accelerated Algorithms for a Class of Optimization Problems with Constraints

Anjali Parashar, Priyank Srivastava, Anuradha M. Annaswamy

This paper presents a framework to solve constrained optimization problems in an accelerated manner based on High-Order Tuners (HT). Our approach is based on reformulating the orig…

eess.SY2022

Learning Invariant Stabilizing Controllers for Frequency Regulation under Variable Inertia

Priyank Srivastava, Patricia Hidalgo-Gonzalez, Jorge Cortes

Declines in cost and concerns about the environmental impact of traditional generation have boosted the penetration of renewables and non-conventional distributed energy resources…

eess.SY2021

Agent-Supervisor Coordination for Decentralized Event-Triggered Optimization

Priyank Srivastava, Guido Cavraro, Jorge Cortes

This paper proposes decentralized resource-aware coordination schemes for solving network optimization problems defined by objective functions which combine locally evaluable costs…

math.OC2021★ 14 cited

Nesterov Acceleration for Equality-Constrained Convex Optimization via Continuously Differentiable Penalty Functions

Priyank Srivastava, Jorge Cortes

We propose a framework to use Nesterov's accelerated method for constrained convex optimization problems. Our approach consists of first reformulating the original problem as an un…

math.OC2021★ 10 cited

Solving Linear Equations with Separable Problem Data over Directed Networks

Priyank Srivastava, Jorge Cortes

This paper deals with linear algebraic equations where the global coefficient matrix and constant vector are given respectively, by the summation of the coefficient matrices and co…

eess.SY2020

Enabling DER Participation in Frequency Regulation Markets

Priyank Srivastava, Chin-Yao Chang, Jorge Cortes

Distributed energy resources (DERs) are playing an increasing role in ancillary services for the bulk grid, particularly in frequency regulation. In this paper, we propose a framew…

math.OC2020★ 1 cited

Network Optimization via Smooth Exact Penalty Functions Enabled by Distributed Gradient Computation

Priyank Srivastava, Jorge Cortes

This paper proposes a distributed algorithm for a network of agents to solve an optimization problem with separable objective function and locally coupled constraints. Our strategy…

eess.SY2020

Frequency Regulation with Heterogeneous Energy Resources: A Realization using Distributed Control

Tor Anderson, Manasa Muralidharan, Priyank Srivastava +5

This paper presents one of the first real-life demonstrations of coordinated and distributed resource control for secondary frequency response in a power distribution grid. We cond…