Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Utrecht UniversityNL210 papers
- Delft University of TechnologyNL196 papers
- Centre National de la Recherche ScientifiqueFR195 papers
- Centrum Wiskunde & InformaticaNL163 papers
- University of TwenteNL158 papers
- University of AmsterdamNL113 papers
- Radboud University NijmegenNL89 papers
- University of Rome Tor VergataIT84 papers
- Vrije Universiteit AmsterdamNL79 papers
- Leiden UniversityNL72 papers
- University of GroningenNL58 papers
- Philips (Netherlands)NL56 papers
10 papers · 2 filters
Prediction error identification of linear dynamic networks with rank-reduced noise
Harm H. M. Weerts, Paul M. J. Van den Hof, Arne G. Dankers
Dynamic networks are interconnected dynamic systems with measured node signals and dynamic modules reflecting the links between the nodes. We address the problem of \red{identifyin…
Synchronization in Networks of Diffusively Coupled Nonlinear Systems: Robustness Against Time-Delays
Carlos Murguia, Henk Nijmeijer, Justin Ruths
In this manuscript, we study the problem of robust synchronization in networks of diffusively time-delayed coupled nonlinear systems. In particular, we prove that, under some mild…
Identification in Dynamic Networks
Paul M. J. Van den Hof, Arne G. Dankers, Harm H. M. Weerts
System identification is a common tool for estimating (linear) plant models as a basis for model-based predictive control and optimization. The current challenges in process indust…
Sparse Iterative Learning Control with Application to a Wafer Stage: Achieving Performance, Resource Efficiency, and Task Flexibility
Tom Oomen, Cristian R. Rojas
Trial-varying disturbances are a key concern in Iterative Learning Control (ILC) and may lead to inefficient and expensive implementations and severe performance deterioration. The…
An empirical Bayes approach to identification of modules in dynamic networks
Niklas Everitt, Giulio Bottegal, Håkan Hjalmarsson
We present a new method of identifying a specific module in a dynamic network, possibly with feedback loops. Assuming known topology, we express the dynamics by an acyclic network…
Control refinement for discrete-time descriptor systems: a behavioural approach via simulation relations
Fei Chen, Sofie Haesaert, Alessandro Abate +1
The analysis of industrial processes, modelled as descriptor systems, is often computationally hard due to the presence of both algebraic couplings and difference equations of high…
Robust Fault Diagnosis by Optimal Input Design for Self-sensing Systems
Dhruv Khandelwal, Siep Weiland, Amol Khalate
This paper presents a methodology for model based robust fault diagnosis and a methodology for input design to obtain optimal diagnosis of faults. The proposed algorithm is suitabl…
Control refinement for DAE systems: A behavioral approach via simulation relations
Fei Chen
The controller design of the so-called "difference algebraic equation" (DAE) systems that are frequently shown in industrial processes, tend to be challenging because of the combin…
Stabilizing Tube-Based Model Predictive Control: Terminal Set and Cost Construction for LPV Systems (extended version)
Jurre Hanema, Mircea Lazar, Roland Tóth
This paper presents a stabilizing tube-based MPC synthesis for LPV systems. We employ terminal constraint sets which are required to be controlled periodically contractive. Periodi…
Towards parallelizable sampling-based Nonlinear Model Predictive Control
R. V. Bobiti, M. Lazar
This paper proposes a new sampling-based nonlinear model predictive control (MPC) algorithm, with a bound on complexity quadratic in the prediction horizon N and linear in the numb…