14 citations · 15 across the 5 of their papers we have counts for
7 papers
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…
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…
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…
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…
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…
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…