activity
20172021
most citedFault detection and isolation for linear structured systems

3 citations · 19 across the 12 of their papers we have counts for

collaborators

18 papers

math.OC2021

Data-driven dissipativity analysis: application of the matrix S-lemma

Henk J. van Waarde, M. Kanat Camlibel, Paolo Rapisarda +1

The concept of dissipativity, as introduced by Jan Willems, is one of the cornerstones of systems and control theory. Typically, dissipativity properties are verified by resorting…

math.OC2021

Data-driven output synchronization of heterogeneous leader-follower multi-agent systems

Junjie Jiao, Henk J. van Waarde, Harry L. Trentelman +2

This paper deals with data-driven output synchronization for heterogeneous leader-follower linear multi-agent systems. Given a multi-agent system that consists of one autonomous le…

math.OC20211 cited

Reduced-Order Modeling of Large-Scale Network Systems

Xiaodong Cheng, Jacquelien M. A. Scherpen, Harry L. Trentelman

Large-scale network systems describe a wide class of complex dynamical systems composed of many interacting subsystems. A large number of subsystems and their high-dimensional dyna…

math.OC20203 cited

Scalable controllability analysis of structured networks

J. Jia, B. M. Shali, H. J. van Waarde +2

This paper deals with strong structural controllability of structured networks. A structured network is a family of structured systems (called node systems) that are interconnected…

math.OC2020

Properties of pattern matrices with applications to structured systems

B. M. Shali, H. J. van Waarde, M. K. Camlibel +1

The exact parameter values of mathematical models are often uncertain or even unknown. Nevertheless, we may have access to crude information about the parameters, e.g., that some o…

math.OC2020

Informativity of noisy data for structural properties of linear systems

Jaap Eising, Harry Trentelman

This paper deals with developing tests for checking whether an unknown system has certain structural properties. The tests that we are aiming at are in terms of noisy input-state-o…