activity
20162026
most citedA Distance-Based Approach to Strong Target Control of Dynamical Networks

17 citations · 24 across the 17 of their papers we have counts for

collaborators

19 papers

math.OC2026

A Generalized Stability Theorem for Interconnections of Dissipative Behaviors

Michaela Repasova, Henk J. van Waarde

Dissipativity theory enables the stability analysis of complex, interconnected systems through the physical properties of their components. Celebrated examples of such stability re…

math.OC2026

Robust stabilization of discrete-time linear systems requires nonlinear dynamic feedback

Amir Shakouri, Marieke Heidema, Henk J. van Waarde

This paper studies the problem of robust stabilization of linear input-state systems in discrete time. We prove that for any compact set of stabilizable systems, there exists a dyn…

math.OC2026

Experiment Design for Set-membership Identification: From Prior Knowledge to Universal Inputs

Amir Shakouri, Henk J. van Waarde, M. Kanat Camlibel

We consider the problem of designing input signals for an unknown linear time-invariant system in such a way that the resulting data, within a finite horizon, is suitable for ident…

math.OC2026

A New Noise Model for Data-driven Control: Generalized Frobenius Norm Bounds

Huayuan Huang, M. Kanat Camlibel, Henk J. van Waarde

In this article, we introduce a new noise model for data-driven control. The model can be interpreted as a generalization of a Frobenius norm bound on the matrix of noise samples.…

math.OC2026

Kernel-based identification of nonlinear port-Hamiltonian systems

Brayan M. Shali, Henk J. van Waarde

Port-Hamiltonian systems provide a structured framework for modeling physical systems by explicitly capturing their energy storage, dissipation, and exchange. However, deriving suc…

math.OC2026

Data-Driven Robust Model Reference Adaptive Control with Parameter Convergence

Jiwei Wang, Simone Baldi, Henk J. van Waarde

This paper provides a data-driven design guaranteeing parameter convergence in model reference adaptive control (MRAC) when the to-be-controlled system is subject to process noise.…

math.OC2025

Online experiment design for continuous-time systems using generalized filtering

Jiwei Wang, Simone Baldi, Henk J. van Waarde

The goal of experiment design is to select the inputs of a dynamical system in such a way that the resulting data contain sufficient information for system identification and data-…

math.OC2024

The shortest experiment for linear system identification

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

This paper is concerned with the following problem: given an upper bound of the state-space dimension and lag of a linear time-invariant system, design a sequence of inputs so that…

math.OC2024

Towards a representer theorem for identification of passive systems

Brayan M. Shali, Henk J. van Waarde

A major problem in system identification is the incorporation of prior knowledge about the physical properties of the given system, such as stability, positivity and passivity. In…

math.OC2024

Chebyshev centers and radii for sets induced by quadratic matrix inequalities

Amir Shakouri, Henk J. van Waarde, M. Kanat Camlibel

This paper studies sets of matrices induced by quadratic inequalities. In particular, the center and radius of a smallest ball containing the set, called a Chebyshev center and the…

math.OC2023

Relaxation systems and cyclic monotonicity

Thomas Chaffey, Henk J. van Waarde, Rodolphe Sepulchre

It is shown that an LTI system is a relaxation system if and only if its Hankel operator is cyclic monotone. Cyclic monotonicity of the Hankel operator implies the existence of a s…

math.OC2023

The informativity approach to data-driven analysis and control

Henk J. van Waarde, Jaap Eising, M. Kanat Camlibel +1

The goal of this paper is to provide a tutorial on the so-called informativity framework for direct data-driven analysis and control. This framework achieves certified data-based a…

math.OC2022★ 2 cited

A behavioral approach to data-driven control with noisy input-output data

Henk J. van Waarde, Jaap Eising, M. Kanat Camlibel +1

This paper deals with data-driven stability analysis and feedback stabillization of linear input-output systems in autoregressive (AR) form. We assume that noisy input-output data…

math.OC2022★ 3 cited

Quadratic matrix inequalities with applications to data-based control

Henk J. van Waarde, M. Kanat Camlibel, Jaap Eising +1

This paper studies several problems related to quadratic matrix inequalities (QMI's), i.e., inequalities in the Loewner order involving quadratic functions of matrix variables. In…

math.OC2021★ 2 cited

Training Lipschitz continuous operators using reproducing kernels

Henk J. van Waarde, Rodolphe Sepulchre

This paper proposes that Lipschitz continuity is a natural outcome of regularized least squares in kernel-based learning. Lipschitz continuity is an important proxy for robustness…

quant-ph2021

Topology identification of autonomous quantum dynamical networks

Stefano Gherardini, Henk J. van Waarde, Pietro Tesi +1

Topology identification comprises reconstructing the interaction Hamiltonian of a quantum network by properly processing measurements of its density operator within a fixed time in…

math.OC2020

An informativity approach to the data-driven algebraic regulator problem

Harry L. Trentelman, Henk J. van Waarde, M. Kanat Camlibel

In this paper, the classical algebraic regulator problem is studied in a data-driven context. The endosystem is assumed to be an unknown system that is interconnected to a known ex…

math.OC2017

Topology Reconstruction of Dynamical Networks via Constrained Lyapunov Equations

Henk J. van Waarde, Pietro Tesi, M. Kanat Camlibel

The network structure (or topology) of a dynamical network is often unavailable or uncertain. Hence, we consider the problem of network reconstruction. Network reconstruction aims…

math.OC2016★ 17 cited

A Distance-Based Approach to Strong Target Control of Dynamical Networks

Henk J. van Waarde, M. Kanat Camlibel, Harry L. Trentelman

This paper deals with controllability of dynamical networks. It is often unfeasible or unnecessary to fully control large-scale networks, which motivates the control of a prescribe…