most citedA Data-Driven Convex Programming Approach to Worst-Case Robust Tracking Controller Design

13 citations · 13 across the 2 of their papers we have counts for

collaborators

5 papers

eess.SY2021

Data-driven Unknown-input Observers and State Estimation

Mustafa Sahin Turan, Giancarlo Ferrari-Trecate

Unknown-input observers (UIOs) allow for estimation of the states of an LTI system without knowledge of all inputs. In this paper, we provide a novel data-driven UIO based on behav…

math.OC202113 cited

A Data-Driven Convex Programming Approach to Worst-Case Robust Tracking Controller Design

Liang Xu, Mustafa Sahin Turan, Baiwei Guo +1

This paper studies finite-horizon robust tracking control for discrete-time linear systems, based on input-output data. We leverage behavioral theory to represent system trajectori…

math.OC2021

Non-conservative Design of Robust Tracking Controllers Based on Input-output Data

Liang Xu, Mustafa Sahin Turan, Baiwei Guo +1

This paper studies worst-case robust optimal tracking using noisy input-output data. We utilize behavioral system theory to represent system trajectories, while avoiding explicit s…

eess.SY2020

Consensus-Based Current Sharing and Voltage Balancing in DC Microgrids with Exponential Loads

Pulkit Nahata, Mustafa S. Turan, Giancarlo Ferrari-Trecate

In this work, we present a novel consensus-based secondary control scheme for current sharing and voltage balancing in DC microgrids, composed of distributed generation units, dyna…

eess.SY2020

Consensusability of linear interconnected multi-agent systems

Mustafa Sahin Turan, Liang Xu, Giancarlo Ferrari Trecate

Consensusability is an important property for many multi-agent systems (MASs) as it implies the existence of networked controllers driving the states of MAS subsystems to the same…