activity
20172022
most citedAnalysis and Synthesis of MIMO Multi-Agent Systems Using Network Optimization

33 citations · 122 across the 18 of their papers we have counts for

collaborators

18 papers

eess.SY2022

Cluster Assignment in Multi-Agent Systems : Sparsity Bounds and Fault Tolerance

Miel Sharf, Daniel Zelazo

We study cluster assignment in homogeneous diffusive multi-agent networks. Given the number of clusters and agents within each cluster, we design the network graph ensuring the sys…

eess.SY2022

Contract Composition for Dynamical Control Systems: Definition and Verification using Linear Programming

Miel Sharf, Bart Besselink, Karl Henrik Johansson

Designing large-scale control systems to satisfy complex specifications is hard in practice, as most formal methods are limited to systems of modest size. Contract theory has been…

eess.SY2022★ 1 cited

Cluster Assignment in Multi-Agent Systems

Miel Sharf, Daniel Zelazo

We study cluster assignment in multi-agent networks. We consider homogeneous diffusive networks, and focus on design of the graph that ensures the system will converge to a prescri…

eess.SY2021★ 2 cited

Verifying Contracts for Perturbed Control Systems using Linear Programming

Miel Sharf, Bart Besselink, Karl Henrik Johansson

Verifying specifications for large-scale control systems is of utmost importance, but can be hard in practice as most formal verification methods can not handle high-dimensional dy…

eess.SY2021

Verifying Compositional Refinement of Assume/Guarantee Contracts using Linear Programming

Miel Sharf, Bart Besselink, Karl Henrik Johansson

Verifying specifications for large-scale modern engineering systems can be a time-consuming task, as most formal verification methods are limited to systems of modest size. Recentl…

math.OC2021★ 18 cited

Economic Dispatch of a Single Micro-Gas Turbine Under CHP Operation with Uncertain Demands

Miel Sharf, Iliya Romm, Michael Palman +2

This work considers the economic dispatch problem for a single micro-gas turbine, governed by a discrete state-space model, under combined heat and power (CHP) operation and couple…

eess.SY2020

Assume/Guarantee Contracts for Dynamical Systems: Theory and Computational Tools

Miel Sharf, Bart Besselink, Adam Molin +2

Modern engineering systems include many components of different types and functions. Verifying that these systems satisfy given specifications can be an arduous task, as most forma…

eess.SY2020★ 10 cited

On the Sample Complexity of Data-Driven Inference of the -gain

Miel Sharf

Lately, data-driven control has become a widespread area of research. A few recent big-data based approaches for data-driven control of nonlinear systems try to use classical input…

eess.SY2019

A Characterization of All Passivizing Input-Output Transformations of a Passive-Short System

Miel Sharf, Daniel Zelazo

Passivity theory is one of the cornerstones of control theory, as it allows one to prove stability of a large-scale system while treating each component separately. In practice, ma…

eess.SY2019★ 3 cited

Monitoring Link Faults in Nonlinear Diffusively-coupled Networks

Miel Sharf, Daniel Zelazo

Fault detection and isolation is an area of engineering dealing with designing on-line protocols for systems that allow one to identify the existence of faults, pinpoint their exac…

eess.SY2019★ 3 cited

Model-Free Practical Cooperative Control for Diffusively Coupled Systems

Miel Sharf, Anne Koch, Daniel Zelazo +1

In this paper, we develop a data-based controller design framework for diffusively coupled systems with guaranteed convergence to an -neighborhood of the desired formation. The…

eess.SY2019★ 4 cited

Network Identification for Diffusively-Coupled Systems with Minimal Time Complexity

Miel Sharf, Daniel Zelazo

The theory of network identification, namely identifying the (weighted) interaction topology among a known number of agents, has been widely developed for linear agents. However, t…

eess.SY2019★ 17 cited

Network Feedback Passivation of Passivity-Short Multi-Agent Systems

Miel Sharf, Daniel Zelazo

In this paper, we propose a network-optimization framework for the analysis of multi-agent systems with passive-short agents. We consider the known connection between diffusively-c…

eess.SY2019★ 3 cited

Symmetry-Induced Clustering in Multi-Agent Systems using Network Optimization and Passivity

Miel Sharf, Daniel Zelazo

This work studies the effects of a weak notion of symmetry on diffusively-coupled multi-agent systems. We focus on networks comprised of agents and controllers which are maximally…

eess.SY2019★ 15 cited

A Geometric Method for Passivation and Cooperative Control of Equilibrium-Independent Passivity-Short Systems

Miel Sharf, Anoop Jain, Daniel Zelazo

Equilibrium-independent passive-short (EIPS) systems are a class of systems that satisfy a passivity-like dissipation inequality with respect to any forced equilibria with non-posi…

math.OC2018★ 11 cited

Network Identification: A Passivity and Network Optimization Approach

Miel Sharf, Daniel Zelazo

The theory of network identification, namely identifying the interaction topology among a known number of agents, has been widely developed for linear agents over recent years. How…

math.OC2017★ 33 cited

Analysis and Synthesis of MIMO Multi-Agent Systems Using Network Optimization

Miel Sharf, Daniel Zelazo

This work studies analysis and synthesis problems for diffusively coupled multi-agent systems. We focus on networks comprised of multi-input multi-output nonlinear systems that pos…

math.OC2017★ 2 cited

On Certain Properties of Convex Functions

Miel Sharf, Daniel Zelazo

This note deals with certain properties of convex functions. We provide results on the convexity of the set of minima of these functions, the behaviour of their subgradient set und…