1 citations · 1 across the 6 of their papers we have counts for
7 papers
Distributed Newton-like Algorithms and Learning for Optimized Power Dispatch
Tor Anderson
This thesis explores a particular class of distributed optimization methods for various separable resource allocation problems, which are of high interest in a wide array of multi-…
Distributed Stochastic Nested Optimization via Cubic Regularization
Tor Anderson, Sonia Martinez
This paper considers a nested stochastic distributed optimization problem. In it, approximate solutions to realizations of the inner-problem are leveraged to obtain a Distributed S…
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…
Distributed Resource Allocation with Binary Decisions via Newton-like Neural Network Dynamics
Tor Anderson, Sonia Martinez
This paper aims to solve a distributed resource allocation problem with binary local constraints. The problem is formulated as a binary program with a cost function defined by the…
Distributed Approximate Newton Algorithms and Weight Design for Constrained Optimization
Tor Anderson, Chin-Yao Chang, Sonia Martinez
Motivated by economic dispatch and linearly-constrained resource allocation problems, this paper proposes a class of novel Distributed-Approx Newton algorithms that approximate the…
Maximizing Algebraic Connectivity of Constrained Graphs in Adversarial Environments
Tor Anderson, Chin-Yao Chang, Sonia Martinez
This paper aims to maximize algebraic connectivity of networks via topology design under the presence of constraints and an adversary. We are concerned with three problems. First,…
Weight Design of Distributed Approximate Newton Algorithms for Constrained Optimization
Tor Anderson, Chin-Yao Chang, Sonia Martinez
Motivated by economic dispatch and linearly-constrained resource allocation problems, this paper proposes a novel Distributed Approx-Newton algorithm that approximates the standard…