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20122023
most citedAnalysis and Design of Optimization Algorithms via Integral Quadratic Constraints

383 citations · 773 across the 39 of their papers we have counts for

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Showing 2019Show all

6 papers · 1 filter

cs.HC2019★ 45 cited

Estimating Color-Concept Associations from Image Statistics

Ragini Rathore, Zachary Leggon, Laurent Lessard +1

To interpret the meanings of colors in visualizations of categorical information, people must determine how distinct colors correspond to different concepts. This process is easier…

math.OC2019

Analysis and Design of First-Order Distributed Optimization Algorithms over Time-Varying Graphs

Akhil Sundararajan, Bryan Van Scoy, Laurent Lessard

This work concerns the analysis and design of distributed first-order optimization algorithms over time-varying graphs. The goal of such algorithms is to optimize a global function…

eess.SY2019

Explicit Agent-Level Optimal Cooperative Controllers for Dynamically Decoupled Systems with Output Feedback

Mruganka Kashyap, Laurent Lessard

We consider a dynamically decoupled network of agents each with a local output-feedback controller. We assume each agent is a node in a directed acyclic graph and the controllers s…

math.OC2019★ 7 cited

A Distributed Optimization Algorithm over Time-Varying Graphs with Efficient Gradient Evaluations

Bryan Van Scoy, Laurent Lessard

We propose an algorithm for distributed optimization over time-varying communication networks. Our algorithm uses an optimized ratio between the number of rounds of communication a…

eess.SY2019

Direct Synthesis of Iterative Algorithms With Bounds on Achievable Worst-Case Convergence Rate

Laurent Lessard, Peter Seiler

Iterative first-order methods such as gradient descent and its variants are widely used for solving optimization and machine learning problems. There has been recent interest in an…

eess.SY2019

Integral Quadratic Constraints: Exact Convergence Rates and Worst-Case Trajectories

Bryan Van Scoy, Laurent Lessard

We consider a linear time-invariant system in discrete time where the state and input signals satisfy a set of integral quadratic constraints (IQCs). Analogous to the autonomous li…