Scherpen, Prof. Jacquelien
Jacquelien Scherpen studied Applied Mathematics at the University of Twente, where she also gained her PhD in 1994 with a thesis entitled Balancing for nonlinear systems. She then went on to work at the TU Delft, after which she became Professor of Discrete Technology and Production Automation at the University of Groningen in 2006. Prof. Scherpen has been Director of the Engineering and Technology Institute Groningen since January 2013.
Her research area covers order reduction methods for nonlinear control systems in order to make control design and implementation feasible for complex nonlinear systems. Furthermore, she studies the design of distributed and often nonlinear controllers for complex applications. Examples of such systems can be found in industry, robotics, micro systems, semi-conductors, energy systems, smart grids and space applications.
Scherpen is currently conducting research on more efficient use and distribution of energy. She recently was awarded two NWO grants for projects looking into sustainable energy systems.
In 2020 Scherpen has been appointed as the Captain of Science in the High-Tech Systems and Materials (HTSM) top sector.
Scherpen was the 2023 winner of the Prins Friso Engineering price. ""Scherpen devotes herself to the visibility of engineering in general, among other things by enthusing young people for the engineering profession and breaking down gender stereotyping regarding female enginers. All in all, this makes her a role model for new generations of engineers," the jury said.
As of 1 September 2023, Scherpen is the UG's rector magnificus.
Previously in the news
2023
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, 1. Advance online publication. 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
Sarkar,
A., Kawano, Y., & Scherpen, J. M. A.
(Accepted/In press). Balancing for Nonlinear
Differential-Algebraic Systems. In Proceedings of the
European Control Conference 2023 (ECC2023)
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;
Vol. 56, No. 1). Elsevier. https://doi.org/10.1016/j.ifacol.2023.02.054
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,
7, 413-418. https://doi.org/10.1109/LCSYS.2022.3189321
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.
Advance online publication. 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
Truncation. Paper presented at 2023 SIAM Conference on
Computational Science and Engineering(CSE23), Amsterdam,
Netherlands.
Ferguson,
J., Cucuzzella, M., & Scherpen, J. M.
A. (2023). Increasing the region of attraction in DC
microgrids. Automatica, 151,
Article 110883. https://doi.org/10.1016/j.automatica.2023.110883
Kawano,
Y., Cucuzzella, M., Feng, S., & Scherpen, J.
M. A. (2023). Krasovskii and shifted passivity based
output consensus. Automatica,
155, Article 111167. https://doi.org/10.1016/j.automatica.2023.111167
Machado
Martinez, J., Rinaldi, G., Cucuzzella, M., Prathyush, P.
M., Scherpen, J. M. A., & Ferrara, A. (Accepted/In
press). Online Parameters Estimation Schemes to Enhance
Control Performance in DC Microgrids. In Proceedings of
the European Control Conference 2023 (ECC2023)
Kawano,
Y., Ahmed, S., Cucuzzella, M., & Scherpen,
J. M. A. (Accepted/In press). Passivity of nonlinear
time-delay systems.
IFAC-PapersOnLine.
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, 1-15. Advance online publication. 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. Advance
online publication. https://doi.org/10.1016/j.sysconle.2023.105501
Chan-Zheng,
C., Borja, P., & Scherpen, J. M.
A. (Accepted/In press). Tuning of Passivity-Based
Controllers for Mechanical Systems. IEEE
Transactions on Control Systems Technology. https://doi.org/10.1109/TCST.2023.3260995
Cucuzzella,
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. Advance online publication. https://doi.org/10.1016/j.ejcon.2022.100724
Fu,
Z., Cucuzzella, M., Cenedese, C., Yu, W., &
Scherpen, J. M. A. (2022). A Distributed Control
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.
https://doi.org/10.48550/arXiv.2204.08114
Chen,
X., Scherpen, J. M. A., &
Monshizadeh, N. (2022). Aggregating Distributed
Energy Resources for Grid Flexibility Services: A Distributed Game
Theoretic Approach: (Extended abstract). Abstract from
25th International Symposium on
Mathematical Theory of Networks and Systems, Bayreuth, Germany.
Mathematical Theory of Networks and Systems, Bayreuth, Germany.
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:
Extended abstract. Manuscript submitted for publication. In
Proceedings of the 25th International Symposium on Mathematical
Theory of Networks and Systems (MTNS 2022) (IFAC-
PapersOnLine). IFAC.
Li,
N., Scherpen, J., Van Der Schaft,
A., & Sun, Z. (2022). A passivity approach in
port-Hamiltonian form for formation control and velocity
tracking. In 2022 European Control Conference, ECC
2022 (pp. 1844-1849). (2022 European Control Conference, ECC
2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/ECC55457.2022.9838171
Shomalzadeh,
K., Scherpen, J. M. A., & Camlibel,
M. K. (2022). Bilevel aggregator-prosumers'
optimization problem in real-time: A convex optimization
approach. Operations Research Letters,
50(5), 568-573. https://doi.org/10.1016/j.orl.2022.08.008
Javanmardi,
N., Borja, P., Yazdanpanah, M. J., &
Scherpen, J. M. A. (2022). Distributed formation
control of networked mechanical systems. In G. Ferrari
Trecate (Ed.), IFAC-PapersOnLine (pp. 294-299).
(IFAC-PapersOnLine; Vol. 55, No. 13). Elsevier. https://doi.org/10.1016/j.ifacol.2022.07.275
Sarkar,
A., & Scherpen, J. M. A. (2022).
Extended Differential Balancing and Generalized Balancing
for Nonlinear Dynamical Systems: (Extended Abstract) .
Abstract from 25th International Symposium on
Mathematical Theory of Networks and Systems, Bayreuth, Germany.
Mathematical Theory of Networks and Systems, Bayreuth, Germany.
Sarkar,
A., & Scherpen, J. M. A. (2022).
Extended differential balancing for nonlinear dynamical
systems. IEEE Control Systems Letters,
6, 3170-3175. https://doi.org/10.1109/LCSYS.2022.3183528
Rinaldi,
G., Machado, J. E., Cucuzzella, M.,
Menon, P. P., Ferrara, A., & Scherpen, J. M. A.
(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
Yu,
L., Cheng, X., Scherpen, J. M. A., & Xiong, J.
(2022). H2 model reduction for diffusively coupled
second-order networks by convex-optimization.
Automatica, 137, Article 110118. https://doi.org/10.1016/j.automatica.2021.110118
Machado
Martinez, J., Cucuzzella, M., & Scherpen, J. M.
A. (2022). On Shifted Passivity of Multi-Producer
Heating Networks with Storage (I): (Extended abstract).
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. In Proceedings of the
European Control Conference 2022 (ECC 2022) IEEE. Advance
online publication.
Feng,
S., Kawano, Y., Cucuzzella, M., & Scherpen, J. M.
A. (2022). Output Consensus Control for Linear
Port-Hamiltonian Systems. Manuscript submitted for
publication. In Proceedings of the 25th International Symposium
on Mathematical Theory of Networks and Systems (MTNS 2022)
(IFAC - PapersOnLine). IFAC.
Strehle,
F., Machado Martinez, J., Cucuzzella, M., Malan, A.
J., Scherpen, J. M. A., & Hohmann, S. (2022).
Port-Hamiltonian Modeling of Hydraulics in 4th Generation
District Heating Networks. Manuscript submitted for
publication. In Proceedings of the 61st IEEE Conference on
Decision and Control (CDC 2022)
Burohman,
A., Besselink, B., Scherpen, J. M.
A., & Camlibel, K. (2022).
Reduced-Order Models from Data Via Generalized Balanced
Truncation (I): (Extended abstract). Abstract from 25th
International Symposium on
Mathematical Theory of Networks and Systems, Bayreuth, Germany.
Mathematical Theory of Networks and Systems, Bayreuth, Germany.
Machado
Martinez, J., Ahmed, S., Scherpen, J. M.
A., & Cucuzzella, M. (2022). Robust,
distributed and optimal control of smart grids.
EPJ Web of Conferences, 268, Article
00016. https://doi.org/10.1051/epjconf/202226800016
Silani,
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,
Article 109997. https://doi.org/10.1016/j.automatica.2021.109997
Borja,
L. P., van der Veen, J., & Scherpen, J. M.
A. (2022). Trajectory Tracking for Robotic Arms with
Input Saturation and Only Position Measurements (I). In
Proceedings of the he 60th IEEE conference on Decision and
Control (CDC 2021) (pp. 2434-2439). IEEE. https://doi.org/10.1109/CDC45484.2021.9683112
Chan
Zheng, C., Muñoz Arias, M., &
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.
(2023). Extended balancing of continuous LTI systems: A
structure-preserving approach. IEEE Transactions
on Automatic Control, 68(1), 257-271. Advance
online publication. https://doi.org/10.1109/TAC.2021.3138645
Machado,
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. Advance online publication. https://doi.org/10.1109/LCSYS.2021.3085702
Cucuzzella,
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),
3299-3310. Advance online publication. https://doi.org/10.1109/TPWRS.2021.3109024
Machado,
J. E., Cucuzzella, M., & Scherpen, J.
M. A. (2022). Modeling and passivity properties of
multi-producer district heating systems.
Automatica, 142, Article 110397. https://doi.org/10.1016/j.automatica.2022.110397
Silani,
A., Cucuzzella, M., Scherpen, J. M.
A., & Yazdanpanah, M. J. (2022). Output Regulation
for Load Frequency Control. IEEE Transactions on
Control Systems Technology, 30(3), 1130-1144.
Advance online publication. https://doi.org/10.1109/TCST.2021.3099096
Yu,
L., Cheng, X., Scherpen, J. M. A., & Yu, C.
(2021). A Method for Networks Generation with Pre-scribed
Spectrum of Laplacian Matrix. SIAM Conference on
Control and Its Applications (CT21).
Chan
Zheng, C., Borja, L. P., & Scherpen,
J. M. A. (2021). An energy-based approach for
viscous damping identification. 88. Abstract from
Benelux Workshop on Systems and Control, Rotterdam,
Netherlands.
Li,
N., Scherpen, J. M. A., & van der
Schaft, A. (2021). Angle based formation with
bearing and velocity information. 61. Abstract from
Benelux meeting on Systems and Control 2021, Rotterdam,
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
(IFAC-PapersOnline), 54(19), 217-222. Advance
online publication. https://doi.org/10.1016/j.ifacol.2021.11.081
Kosaraju,
K. C., Cucuzzella, M., Scherpen, J. M.
A., & Pasumarthy, R. (2021). Differentiation and
Passivity for Control of Brayton-Moser Systems.
IEEE Transactions on Automatic Control,
66(3), 1087-1101. Article 9093201. https://doi.org/10.1109/TAC.2020.2994317
Chen,
X., Scherpen, J. M. A., &
Monshizadeh, N. (2021). Distributed Control for
Distribution Network-Constrained Prosumers in Real-time
market. 60. Abstract from Benelux meeting on Systems
and Control 2021, Rotterdam, Netherlands.
Silani,
A., Cucuzzella, M., Scherpen, J. M.
A., & Yazdanpanah, M. J. (2021). Distributed
Optimal Load Frequency Control with Stochastic Wind Power
Generation. In Proceedings of the European Control
Conference 2021
Sarkar,
A., Cheng, X., Yu, L., & Scherpen, J. M. A.
(2021). Eigenvalue Assignment for Model Reduction of
Networks: Case studies. 80. Abstract from Benelux
meeting on Systems and Control 2021, Rotterdam, Netherlands.
Kawano,
Y., & Scherpen, J. M. A. (2021). Empirical
differential Gramians for nonlinear model reduction.
Automatica, 127, Article 109534.
Advance online publication. https://doi.org/10.1016/j.automatica.2021.109534
Ferguson,
J., Cucuzzella, M., & Scherpen, J. M.
A. (2021). Exponential Stability and Local ISS for DC
Networks. IEEE Control Systems
Letters, 5(3), 893-898. Article 9134402. https://doi.org/10.1109/LCSYS.2020.3007222
Chan
Zheng, C., Borja, L. P., Monshizadeh,
N., & Scherpen, J. M. A. (2021).
Exponential Stability and Tuning for a Class of Mechanical
Systems. In Proceedings of the European Control
Conference 2021 arXiv.
Burohman,
A., Scherpen, J. M. A., & Camlibel,
K. (2021). From Data to Reduced-Order Models via
Moment Matching. SIAM Conference on Control and Its
Applications (CT21).
Kawano,
Y., Kosaraju, K. C., & Scherpen, J. M.
A. (2021). Krasovskii and Shifted Passivity-Based
Control. IEEE Transactions on Automatic
Control, 66(10), 4926-4932. https://doi.org/10.1109/TAC.2020.3040252
Kawano,
Y., Besselink, B., & Scherpen, J. M.
A. (2021). Model Reduction of Monotone Nonlinear
Systems by Dc Gains. SIAM Conference on Control and Its
Applications (CT21).
Borja,
P., Ortega, R., & Scherpen, J. M. A.
(2021). New Results on Stabilization of Port-Hamiltonian
Systems via PID Passivity-Based Control. IEEE
Transactions on Automatic Control, 66(2),
625-636. Article 9064945. https://doi.org/10.1109/TAC.2020.2986731
Cenedese,
C., Cucuzzella, M., Zino,
L., Cao, M., Scherpen, J. M.
A., & van der Schaft, A. (2021).
On an Optimal Control Approach Toward Mitigating an SIS
Epidemic Model. Abstract from European Control
Conference 2021, Rotterdam, Netherlands.
Hamada,
K., Borja, L. P., Fujimoto, K., Maruta, I.,
& Scherpen, J. M. A. (2021). On Passivity-Based
High-Order Compensators for Mechanical Port-Hamiltonian Systems
without Velocity Measurements. In 3rd IFAC Conference on
Modelling, Identification and Control of Nonlinear Systems MICNON
2021 (pp. 287-292). (IFAC-PapersOnLine; Vol. 54, No. 14).
Elsevier. https://doi.org/10.1016/j.ifacol.2021.10.367
Chan
Zheng, C., Borja, L. P., & Scherpen,
J. M. A. (2021). Passivity-Based Control of Mechanical
Systems with Linear Damping Identification. In A. Macchelli
(Ed.), Proceedings of the 7th IFAC Workshop on Lagrangian and
Hamiltonian Methods for Nonlinear Control (LHMNLC 2021) (pp.
255-260). (IFAC-PapersOnLine; Vol. 54, No. 21). Elsevier. https://doi.org/10.1016/j.ifacol.2021.11.087
Borja,
P., Scherpen, J. M. A., Fujimoto, K., &
Maruta, I. (2021). Passivity-Based Lag-Compensators with
Input Saturation for Mechanical Port-Hamiltonian Systems without
Velocity Measurements. In 2021 American Control
Conference, ACC 2021 (pp. 4327-4332). Article 9483408
(Proceedings of the American Control Conference; Vol. 2021-May).
Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/ACC50511.2021.9483408
Parisini,
T., Heemels, M., & Scherpen, J. (2021).
Special issue on the European Control Conference 2021.
In J. M. A. Scherpen, M. Heemels, & T. Parisini (Eds.),
2021 European Control Conference Special Issue (pp. 1-1).
(European Journal of Control; Vol. 62). Elsevier. https://doi.org/10.1016/j.ejcon.2021.06.033
Chan-Zheng,
C., Borja, P., & Scherpen, J. M.
A. (2021). Tuning Rules for a Class of Passivity-Based
Controllers for Mechanical Systems. IEEE Control
Systems Letters, 5(6), 1892-1897. https://doi.org/10.1109/LCSYS.2020.3044835
2020
Cheng,
X., & Scherpen, J. M. A. (2021). Model
Reduction Methods for Complex Network Systems. In N. E.
Leonard (Ed.), Annual review of control, robots, and
Aauthonomous systems, VOL 4, 2021 (pp. 425-453). (Annual
Review of Control Robotics and Autonomous Systems; Vol. 4). Annual
Reviews. Advance online publication. https://doi.org/10.1146/annurev-control-061820-083817
Silani,
A., Cucuzzella, M., Scherpen, J. M.
A., & Yazdanpanah, M. J. (2021). Output Regulation
for Voltage Control in DC Networks With Time-Varying Loads.
IEEE Control Systems Letters, 5(3),
797-802. Article 9129742. Advance online publication. https://doi.org/10.1109/LCSYS.2020.3005775
Cenedese,
C., Fabiani, F., Cucuzzella, M.,
Scherpen, J. M. A., Cao, M., & Grammatico,
S. (2020). Charging Plug-in Electric Vehicles: A Game
Theoretic Approach. 110. Abstract from 39th Benelux
Meeting on Systems and Control, Elspeet, Netherlands.
Cheng,
X., & Scherpen, J. M. A. (2020).
Clustering-Based Model Reduction of Laplacian Dynamics With
Weakly Connected Topology. IEEE-Transactions on
Automatic Control, 65(10), 4393-4399. https://doi.org/10.1109/TAC.2019.2954354
Kawano,
Y., Besselink, B., Scherpen, J. M.
A., & Cao, M. (2020). Data-Driven
Model Reduction of Monotone Systems by Nonlinear DC Gains.
IEEE-Transactions on Automatic Control,
65(5), 2094 - 2106. Article 8822957. https://doi.org/10.1109/TAC.2019.2939191
Rostampour,
V., Badings, T. S., & Scherpen, J. M. A.
(2020). Demand flexibility management for buildings-to-grid
integration with uncertain generation.
Energies, 13(24), Article 6532. https://doi.org/10.3390/en13246532
Burohman,
A., Besselink, B., Scherpen, J. M.
A., & Camlibel, K. (2020).
Informativity for data-driven model reduction through
interpolation. Extended abstract. Abstract from 21st
IFAC World Congress
, Berlin, Germany.
, Berlin, Germany.
Burohman,
A., Besselink, B., Camlibel,
K., & Scherpen, J. M. A. (2020).
Informativity for Data-driven Moment
Matching. 143. Abstract from 39th Benelux Meeting on
Systems and Control, Elspeet, Netherlands.
Cheng,
X., & Scherpen, J. M. A. (2020). Novel
Gramians for linear semistable systems.
Automatica, 115, Article 108911. https://doi.org/10.1016/j.automatica.2020.108911
Shomalzadeh,
K., Scherpen, J. M. A., & Camlibel,
K. (2020). On the Solution of a Bilevel
Electricity Market Optimization Problem. 1354-1357.
Abstract from 2020 European Control Conference (ECC), Saint
Petersburg, Russian Federation.
Hamada,
K., Borja, P., Scherpen, J. M. A.,
Fujimoto, K., & Maruta, I. (2020). Passivity-Based
Lag-Compensators with Input Saturation for Mechanical
Port-Hamiltonian Systems Without Velocity Measurements.
IEEE Control Systems Letters, 5(4),
1285-1290. https://doi.org/10.1109/LCSYS.2020.3032890
Li,
N., Scherpen, J. M. A., & van der
Schaft, A. (2020). Passivity Based Velocity
Tracking and Formation Control Without Velocity
Measurements. 73. Abstract from 39th Benelux Meeting on
Systems and Control, Elspeet, Netherlands.
Cucuzzella,
M., Kosaraju, K. C., & Scherpen, J.
M. A. (2020). Passivity-based voltage control of
DC microgrids: addressing the stability issue of ZIP
loads. 298-301. Abstract from 2020 European Control
Conference (ECC), Saint Petersburg, Russian Federation.
Silani,
A., Cucuzzella, M., Scherpen, J. M.
A., & Yazdanpanah, M. J. (2020). Passivity
properties for regulation of DC networks with stochastic load
demand. In Proceedings of the 21st IFAC World Congress
2020 IFAC.
Silani,
A., Cucuzzella, M., Scherpen, J. M.
A., & Yazdanpanah, M. J. (2020). Passivity
properties for regulation of DC networks with stochastic load
demand. In IFAC-PapersOnLine (pp. 13113-13118).
(IFAC-PapersOnLine; Vol. 53). Elsevier. https://doi.org/10.1016/j.ifacol.2020.12.2274
Silani,
A., Cucuzzella, M., Scherpen, J. M.
A., & Yazdanpanah, M. J. (2020). Passivity
Properties for Regulation of DC Networks With Stochastic Load
Demand. 42. Abstract from 39th Benelux Meeting on
Systems and Control, Elspeet, Netherlands.
Cheng,
X., Scherpen, J. M. A., & Trentelman, H.
L. (2020). Reduced-order modeling of large-scale
network systems. In P. Benner, S. Grivet-Talocia, A.
Quarteroni, G. Rozza, W. Schilders, & L. Miguel Silveira
(Eds.), Model Order Reduction: Volume 3: Applications
(Vol. 3, pp. 345-377). (Model Order Reduction; Vol. 3). De Gruyter.
https://doi.org/10.1515/9783110499001-011
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