Scherpen, prof. dr. ir. Jacquelien
Jacquelien Scherpen studeerde Toegepaste wiskunde aan de Universiteit Twente. In 1994 promoveerde zij aan dezelfde universiteit op het proefschrift Balancing for nonlinear systems. Vervolgens werkte ze aan de TU Delft, waarna ze in 2006 hoogleraar Discrete Technologie en Productie Automatisering aan de RUG werd. Sinds januari 2013 is zij directeur van ENTEG (Engineering and Technology Institute Groningen).
Haar onderzoek richt zich met name op methoden voor ordereductie in niet-lineaire regelsystemen, waarmee het ontwerp en de implementatie van complexe niet-lineaire regelsystemen mogelijk wordt gemaakt. Ook onderzoekt ze het ontwerp van gedistribueerde, vaak niet-lineaire controllers voor complexe toepassingen. Voorbeelden van dit soort systemen zijn te vinden in de industrie, microsystemen, halfgeleiders, energiesystemen, smart grids en ruimtetoepassingen. Scherpen doet momenteel veel onderzoek naar efficiënter gebruik en verdeling van energie. Onlangs ontving ze twee subsidies van NWO voor onderzoeksprojecten op het terrein van duurzame energiesystemen.
In 2020 werd Scherpen benoemd tot Captain of Science van de topsector High Tech Systemen en Materialen (HTSM).
Scherpen was in 2023 de winnares van de Prins Friso Ingenieursprijs. "Scherpen zet zich in voor de zichtbaarheid van techniek in het algemeen, onder meer door jongeren te enthousiasmeren voor het vak van ingenieur en genderstereotypering ten aanzien van vrouwelijke ingenieurs te doorbreken. Alles bij elkaar maakt dit haar tot een rolmodel voor nieuwe generaties ingenieurs", aldus de jury.
Sinds 1 september 2023 is Scherpen de rector magnificus van de RUG.
Eerder in het nieuws
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Slimme energie vergt hogere wiskunde (Broerstraat 5, pag. 22)
2024
Ferguson,
J., Ahmed, S., Machado, J. E., Cucuzzella,
M., & Scherpen, J. M. A. (2024). A
novel switched systems approach to nonconvex optimisation.
Manuscript submitted for publication.
Ferguson,
J., Ahmed, S., Machado, J. E., Cucuzzella,
M., & Scherpen, J. M. A. (2024).
A novel switched systems approach to nonconvex
optimisation. arXiv. https://doi.org/10.48550/arXiv.2410.21570
Strehle,
F., Machado, J. E., Cucuzzella, M., Malan, A. J.,
Hohmann, S., & Scherpen, J. M. A. (2024). A
Unifying Passivity-Based Framework for Pressure and Volume Flow
Rate Control in District Heating Networks. IEEE
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32(4), 1323-1340. https://doi.org/10.1109/TCST.2024.3365250
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A., Kawano, Y., & Scherpen, J. M. A.
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Passivity-Based Game Theoretical Approach. IEEE
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Javanmardi,
N., Borja, P., & Scherpen, J. M.
A. (Accepted/In press). Energy-Based Tracking Methods
for Classes of Electromechanical Systems. In Proceedings
of the 26th International Symposium on Mathematical Theory of
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Sarkar,
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Sarkar,
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Separable Energy Functions. In Proceedings of the 7th
IFAC Conference on Analysis and Control of Nonlinear Dynamics and
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Ferguson,
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port-Hamiltonian systems. In H. Ramirez (Ed.), 8th IFAC
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Control, June 10-12, 2024, Besançon, France (pp. 1-6).
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Chen,
X., Scherpen, J. M. A., &
Monshizadeh, N. (2024). Optimal Bidding Strategies in
Network-Constrained Demand Response: A Distributed Aggregative Game
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Stability-Preserving Model Reduction of Networked Lur'e
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Ramazi,
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(2024). Tightening Poincaré–Bendixson theory after
counting separately the fixed points on the boundary and interior
of a planar region. Electronic Journal of
Qualitative Theory of Differential Equations,
2024, Article 29. https://doi.org/10.14232/EJQTDE.2024.1.29
Kawano,
Y., Van Der Schaft, A., & Scherpen, J. M.
A. (2024). Youla-Kučera Parametrization in the
Contraction Framework. IEEE Transactions on
Automatic Control. Advance online publication. https://doi.org/10.1109/TAC.2024.3466868
2023
Jeeninga,
M., Machado Martinez, J., Cucuzzella, M., Como, G.,
& Scherpen, J. M. A. (2024). On the Existence and
Uniqueness of Steady State Solutions of a Class of Dynamic
Hydraulic Networks Via Actuator Placement. In 2023 62nd
IEEE Conference on Decision and Control (CDC) (pp. 3652-3657).
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Chen,
X., Shomalzadeh, K., Scherpen, J. M.
A., & Monshizadeh, N. (2023). A
Game-Theoretic Market Mechanism for Procuring Flexibility Services
in Distribution Networks under Limited Information Sharing
(I). In Proceedings of the IFAC World Congress 2023
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Chen,
X., Shakarami, M., Scherpen, J. M.
A., & Monshizadeh, N. (2023).
Aggregating distributed energy resources for grid flexibility
services: A distributed game theoretic approach.
International Journal of Robust and Nonlinear
Control. Advance online publication. https://doi.org/10.1002/rnc.6830
Feng,
S., Cucuzzella, M., Bouman, T.,
Steg, L., & Scherpen, J. M. A. (2023).
An integrated human-cyber-physical framework for control of
microgrids. IEEE Transactions on Smart
Grid, 14(5), 3388-3400. https://doi.org/10.1109/TSG.2023.3247918
Shomalzadeh,
K., Scherpen, J. M. A., & Camlibel,
M. K. (2023). A real-time balancing market
optimization with personalized prices: From bilevel to
convex. Operations Research
Perspectives, 10, Article 100276. https://doi.org/10.1016/j.orp.2023.100276
Niazi,
M. U. B., Cheng, X., Canudas-de-Wit, C., & Scherpen, J.
M. A. (2023). Clustering-based average state observer
design for large-scale network systems.
Automatica, 151, Article 110914. https://doi.org/10.1016/j.automatica.2023.110914
Ahmed,
S., Machado Martinez, J., Cucuzzella, M.,
& Scherpen, J. M. A. (2023). Control-oriented
modeling and passivity analysis of thermal dynamics in a
multi-producer district heating system.
IFAC-PapersOnLine, 56(1), 1-6. https://doi.org/10.1016/j.ifacol.2023.02.030
Scherpen,
J. M. A. (2023). Data-Based Model Reduction for
Non-Linear Systems Based on Differential Balancing (I).
Paper presented at 21st European Control Conference , Bucharest,
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Chan-Zheng,
C., Borja, P., & Scherpen, J. M.
A. (2023). Dead-zone compensation via passivity-based
control for a class of mechanical systems. In J. Trumpf,
& R. Mahony (Eds.), 12th IFAC Symposium on Nonlinear
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MacHado,
J. E., Ferguson, J., Cucuzzella, M.,
& Scherpen, J. M. A. (2023). Decentralized
Temperature and Storage Volume Control in Multiproducer District
Heating. IEEE Control Systems Letters,
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Burohman,
A., Besselink, B., Scherpen, J. M.
A., & Camlibel, K. (2023).
Dissipativity-Preserving Reduced-Order Modeling from
Data. 2023 SIAM Conference on Computational Science and
Engineering(CSE23), Amsterdam, Netherlands.
Burohman,
A., Besselink, B., Scherpen, J. M.
A., & Camlibel, K. (2023). From Data
to Reduced-order Models via Generalized Balanced Truncation.
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68(10), 6160-6175. https://doi.org/10.1109/TAC.2023.3238856
Burohman,
A., Scherpen, J. M. A., Besselink,
B., & Camlibel, K. (2023). From
Data to Reduced-Order Models via Generalized Balanced
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Computational Science and Engineering(CSE23), Amsterdam,
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Kawano,
Y., van der Schaft, A., & Scherpen, J. M.
A. (2023). Image and Kernel Representations for
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A. (2023). Increasing the region of attraction in DC
microgrids. Automatica, 151,
Article 110883. https://doi.org/10.1016/j.automatica.2023.110883
Kawano,
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to Mixed Input/Output Consensus. IEEE Control
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Z., Cenedese, C., Cucuzzella, M.,
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performance in DC microgrids. European Journal of
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A. (2023). Stabilization of Physical Systems via
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M. A. (2023). Voltage Control of DC Microgrids:
Robustness for Unknown ZIP-Loads. IEEE Control
Systems Letters, 7, 139-144. https://doi.org/10.1109/LCSYS.2022.3187925
2022
de
Jong, M. C., Kosaraju, K. C., &
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Framework for the Optimal Operation of DC Microgrids.
Manuscript submitted for publication. In Proceedings of the
61st IEEE Conference on Decision and Control (CDC 2022) arXiv.
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Mathematical Theory of Networks and Systems, Bayreuth, Germany.
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Li,
N., Borja, P., van der Schaft, A., &
Scherpen, J. M. A. (2022). Angle-Based Formation
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Extended Differential Balancing and Generalized Balancing
for Nonlinear Dynamical Systems: (Extended Abstract) .
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Mathematical Theory of Networks and Systems, Bayreuth, Germany.
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Extended differential balancing for nonlinear dynamical
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of Nonlinear Systems. IEEE Control Systems
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L., Cheng, X., Scherpen, J. M. A., & Xiong, J.
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second-order networks by convex-optimization.
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Abstract from 25th International Symposium on
Mathematical Theory of Networks and Systems, Bayreuth, Germany.
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for Load Frequency Control. IEEE Transactions on
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L., Cheng, X., Scherpen, J. M. A., & Yu, C.
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Spectrum of Laplacian Matrix. SIAM Conference on
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Chan
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N., Scherpen, J. M. A., & van der
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bearing and velocity information. 61. Abstract from
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Netherlands.
Li,
N., Borja, L. P., van der Schaft,
A., Scherpen, J. M. A., & Chen, L. (2021).
Angle Formation of Double Integrator with Bearing and
Velocity Information. IFAC Proceedings Volumes
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A., & Pasumarthy, R. (2021). Differentiation and
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