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.
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 veel onderzoek naar efficiënter gebruik en verdeling van energie. Ze ontving twee subsidies van NWO voor onderzoeksprojecten op het terrein van duurzame energiesystemen. In 2020 werd ze 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. Daarnaast heeft ze als eerste Nederlander de Hendrik W. Bode Lecture Prize mogen ontvangen voor haar verdiensten voor de wetenschappelijke ontwikkelingen van regelsystemen en -techniek.
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)
2025
Li,
N., Sun, Z., van der Schaft, A., & Scherpen,
J. M. A. (2025). A port-Hamiltonian framework for
displacement-based and rigid formation tracking.
Automatica, 177, Article 112350. https://doi.org/10.1016/j.automatica.2025.112350
Javanmardi,
N., Borja, P., Yazdanpanah, M. J., &
Scherpen, J. M. A. (2025). Energy-based control
approaches for weakly coupled electromechanical systems.
Automatica, 177, Article 112336. https://doi.org/10.1016/j.automatica.2025.112336
Javanmardi,
N., Borja, P., van der Schaft, A. J.,
Yazdanpanah, M. J., & Scherpen, J. M. A.
(Accepted/In press). Energy-Based Trajectory Tracking for
Underactuated Mechanical Systems: Velocity-Free and Disturbance
Rejection Methods. International Journal of Robust
and Nonlinear Control. https://doi.org/10.1002/rnc.8014
Kawano,
Y., Besselink, B., & Scherpen, J. M.
A. (2025). Nonlinear Model Reduction Using Balancing
Methods. In Reference Module in Materials Science and
Materials Engineering Elsevier. https://doi.org/10.1016/B978-0-443-14081-5.00033-7
Malan,
A. J., Ferguson, J., Cucuzzella, M., Scherpen,
J. M. A., & Hohmann, S. (2025). Passivation of
Clustered DC Microgrids With Non-Monotone Loads.
IEEE Transactions on Control Systems
Technology, 33(3), 1069-1084. https://doi.org/10.1109/TCST.2025.3537861
2024
Astolfi,
A., Beck, C. L., Bhattacharjee, D., Kawano, Y., Moreschini, A.,
Sandberg, H., & Scherpen, J. M. A. (2025).
Forty Plus Years of Model Reduction and Still
Learning. In Proceedings of the 2024 Conference on
Decision and Control (pp. 4480-4493). IEEE. https://doi.org/10.1109/CDC56724.2024.10886060
Dou,
Y., Cheng, X., & Scherpen, J. M. A. (2025).
Model Order Reduction of Lur'e Network Systems Using Almost
Equitable Partitions. In Proceedings of the 2024
Conference on Decision and Control (pp. 8040-8045). IEEE. https://doi.org/10.1109/CDC56724.2024.10886449
Kawano,
Y., Van Der Schaft, A., & Scherpen, J. M.
A. (2025). Youla–Kuc̆era Parameterization
in Contraction Framework. IEEE Transactions on
Automatic Control, 70(3), 1667-1682. https://doi.org/10.1109/TAC.2024.3466868
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
Transactions on Control Systems Technology,
32(4), 1323-1340. https://doi.org/10.1109/TCST.2024.3365250
Sarkar,
A., Kawano, Y., & Scherpen, J. M. A.
(2024). Balancing for Nonlinear Differential-Algebraic
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J. M. A., & Kawano, Y. (2024). Data-Based Model
Reduction for Non-Linear Systems Based on Differential Balancing
(I). Manuscript submitted for publication. In
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Z., Cenedese, C., Cucuzzella, M.,
Yu, W., & Scherpen, J. M. A. (2024).
Distributed Control of Islanded DC Microgrids: A
Passivity-Based Game Theoretical Approach. IEEE
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32(6), 2207-2222. https://doi.org/10.1109/TCST.2024.3405711
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J. E., Cucuzzella, M., & Scherpen, J. M.
A. (2024). Energy-based modeling and dissipativity
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Optimisation of Microgrids (pp. 37-65). Institution of
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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
Networks and Systems (MTNS 2024) IFAC-PapersOnLine.
Burohman,
A. M., Besselink, B., Scherpen, J. M.
A., & Camlibel, M. K. (2024). From
data to reduced-order models via moment matching.
Systems and Control Letters, 194,
Article 105965. https://doi.org/10.1016/j.sysconle.2024.105965
Sarkar,
A., Dirksz, D., & Scherpen, J. M. A.
(Accepted/In press). Lumped Parameter Port-Hamiltonian
Modeling and Order Reduction of Flexible Structures (I). In
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M., Scherpen, J. M. A., & Machado, J. E.
(2024). Microgrids control: AC or DC, that is not the
question. In Lecture Notes of the Joint EPS-SIF
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for Energy Sustainability (EPJ Web of Conferences; Vol. 310).
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A., Kawano, Y., & Scherpen, J. M. A.
(2024). Model Reduction of Cooperative Systems Using
Separable Energy Functions. In Proceedings of the 7th
IFAC Conference on Analysis and Control of Nonlinear Dynamics and
Chaos (ACNDC 2024) (pp. 96-101). (IFAC-PapersOnLine; Vol. 58,
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J., Zhou, L., Ahmed, S., &
Scherpen, J. M. A. (2024). On the
Control-by-Interconnection interpretation of integral control for
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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Y., Cheng, X., & Scherpen, J. M. A. (2024).
Stability-Preserving Model Reduction of Networked Lur'e
Systems. In 2024 European Control Conference, ECC
2024 (pp. 2059-2064). (2024 European Control Conference, ECC
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Ramazi,
P., Cao, M., & Scherpen, J. M. A.
(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
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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Z., Cucuzzella, M., Cenedese, C.,
Yu, W., & Scherpen, J. M. A. (2023). A
Distributed control framework for the optimal operation of DC
microgrids. In 2022 IEEE 61st Conference on Decision and
Control, CDC 2022 (pp. 4585-4590). (Proceedings of the IEEE
Conference on Decision and Control; Vol. 2022-December). Institute
of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CDC51059.2022.9992327
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,
Romania.
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
Control Systems NOLCOS 2022 (pp. 319-324). (IFAC-PapersOnLine;
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J. E., Ferguson, J., Cucuzzella, M.,
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Temperature and Storage Volume Control in Multiproducer District
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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.
IEEE Transactions on Automatic Control,
68(10), 6160-6175. https://doi.org/10.1109/TAC.2023.3238856
Kawano,
Y., van der Schaft, A., & Scherpen, J. M.
A. (2023). Image and Kernel Representations for
Variational Systems. In H. Ishii, Y. Ebihara, J. Imura,
& M. Yamakita (Eds.), IFAC-PapersOnLine (pp. 797-802).
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J., Cucuzzella, M., & Scherpen, J. M.
A. (2023). Increasing the region of attraction in DC
microgrids. Automatica, 151,
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Y., Cucuzzella, M., & Scherpen, J. M.
A. (2023). Krasovskii and Shifted Passivity Approaches
to Mixed Input/Output Consensus. IEEE Control
Systems Letters, 7, 1951-1956. https://doi.org/10.1109/LCSYS.2023.3282887
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Y., Cucuzzella, M., Feng, S., & Scherpen, J.
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output consensus. Automatica,
155, Article 111167. https://doi.org/10.1016/j.automatica.2023.111167
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Z., Cenedese, C., Cucuzzella, M.,
Kawano, Y., Yu, W., & Scherpen, J. M. A. (2023).
Novel Control Approaches Based on Projection Dynamics.
IEEE Control Systems Letters, 7,
2179-2184. https://doi.org/10.1109/LCSYS.2023.3285663
Machado,
J. E., Rinaldi, G., Cucuzzella, M., Menon, P.
P., Scherpen, J. M. A., & Ferrara, A. (2023).
Online parameters estimation schemes to enhance control
performance in DC microgrids. European Journal of
Control, 74, Article 100860. https://doi.org/10.1016/j.ejcon.2023.100860
Li,
N., Borja, P., Scherpen, J. M.
A., Van Der Schaft, A., & Mahony, R.
(2023). Passivity-Based Trajectory Tracking and Formation
Control of Nonholonomic Wheeled Robots Without Velocity
Measurements. IEEE Transactions on Automatic
Control, 68(12), 7951-7957. https://doi.org/10.1109/TAC.2023.3258320
Kawano,
Y., Ahmed, S., Cucuzzella, M., & Scherpen,
J. M. A. (2023). Passivity of nonlinear time-delay
systems. IFAC-PapersOnLine,
56(2), 8568-8573. https://doi.org/10.1016/j.ifacol.2023.10.019
Cheng,
X., Yu, L., Ren, D., & Scherpen, J. M. A. (2023).
Reduced Order Modeling of Diffusively Coupled Network
Systems: An Optimal Edge Weighting Approach. IEEE
Transactions on Automatic Control, 68(7),
4233-4240. https://doi.org/10.1109/TAC.2022.3200886
Borja,
P., Chan-Zheng, C., & Scherpen, J. M.
A. (2023). Stabilization of Physical Systems via
Saturated Controllers With Partial State Measurements.
IEEE Transactions on Control Systems
Technology, 31(6), 1-15. https://doi.org/10.1109/TCST.2023.3259243
Sarkar,
A., & Scherpen, J. M. A. (2023).
Structure-preserving generalized balanced truncation for
nonlinear port-Hamiltonian systems. Systems and
Control Letters, 174, Article 105501. https://doi.org/10.1016/j.sysconle.2023.105501
Chan-Zheng,
C., Borja, P., & Scherpen, J. M.
A. (2023). Tuning of Passivity-Based Controllers for
Mechanical Systems. IEEE Transactions on Control
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M., Kosaraju, K. C., & Scherpen, J.
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., &
Scherpen, J. M. A. (2023). On control of
voltage-actuated piezoelectric beam: A Krasovskii passivity-based
approach. European Journal of Control,
69, Article 100724. https://doi.org/10.1016/j.ejcon.2022.100724
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Monshizadeh, N. (2022). Aggregating Distributed
Energy Resources for Grid Flexibility Services: A Distributed Game
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25th International Symposium on
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
Control for a Class of Underlying Triangulated Laman Graphs:
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optimization problem in real-time: A convex optimization
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50(5), 568-573. https://doi.org/10.1016/j.orl.2022.08.008
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Silani,
A., Cucuzzella, M., Scherpen, J. M.
A., & Yazdanpanah, M. J. (2022). Distributed
Optimal Load Frequency Control with Stochastic Wind Power
Generation. In Proceedings of the European Control
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A., & Scherpen, J. M. A. (2022).
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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A., & Scherpen, J. M. A. (2022).
Extended differential balancing for nonlinear dynamical
systems. IEEE Control Systems Letters,
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G., Machado, J. E., Cucuzzella, M.,
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(2022). Finite-Time Output Parameter Estimation for a Class
of Nonlinear Systems. IEEE Control Systems
Letters, 6, 3253-3258. https://doi.org/10.1109/LCSYS.2022.3184275
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A., Besselink, B., Scherpen, J. M.
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Data to Reduced-Order Models via Generalized Balanced
Truncation. arXiv. https://doi.org/10.48550/arXiv.2109.11685
Yu,
L., Cheng, X., Scherpen, J. M. A., & Xiong, J.
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second-order networks by convex-optimization.
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Martinez, J., Cucuzzella, M., & Scherpen, J. M.
A. (2022). On Shifted Passivity of Multi-Producer
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Abstract from 25th International Symposium on
Mathematical Theory of Networks and Systems, Bayreuth, Germany.
Mathematical Theory of Networks and Systems, Bayreuth, Germany.
Chan
Zheng, C., Borja, P., & Scherpen, J. M. A.
(2022). On the Performance of Passivity-Based Controllers
for Standard Mechanical Systems. Paper presented at
2022 European Control Conference, ECC 2022, London, United
Kingdom.
Feng,
S., Kawano, Y., Cucuzzella, M., & Scherpen, J. M.
A. (2022). Output Consensus Control for Linear
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Systems (MTNS 2022) (pp. 230-235). (IFAC - PapersOnLine; Vol.
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F., MacHado, J. E., Cucuzzella, M.,
Malan, A. J., Scherpen, J. M. A., & Hohmann, S.
(2022). Port-Hamiltonian Modeling of Hydraulics in 4th
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A., Cucuzzella, M., Scherpen, J. M.
A., & Yazdanpanah, M. J. (2022). Robust output
regulation for voltage control in DC networks with time-varying
loads. Automatica, 135,
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L. P., van der Veen, J., & Scherpen, J. M.
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Scherpen, J. M. A. (2022). Tuning Rules for
Passivity-Based Integral Control for a Class of Mechanical
Systems. IEEE Control Systems Letters,
7(2023), 37-42. https://doi.org/10.1109/LCSYS.2022.3186618
2021
Borja,
P., Scherpen, J. M. A., & Fujimoto, K.
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structure-preserving approach. IEEE Transactions
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J. E., Cucuzzella, M., Pronk, N., &
Scherpen, J. M. A. (2022). Adaptive Control for Flow
and Volume Regulation in Multi-Producer District Heating
Systems. IEEE Control Systems Letters,
6, 794-799. https://doi.org/10.1109/LCSYS.2021.3085702
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M., Bouman, T., Kosaraju, K. C.,
Schuitema, G., Lemmen, N., Johnson-Zawadzki, S.
J. Z., Fischione, C., Steg, L., &
Scherpen, J. M. A. (2022). Distributed control of DC
grids: Integrating prosumers’ motives. IEEE
Transactions on Power Systems, 37(4),
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