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
-
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. 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
Control Systems. In Prodeedings of the American Control
Conference 2024 (ACC2024) (pp. 3231-3236). (Proceedings of the
American Control Conference). IEEE. https://doi.org/10.23919/ACC60939.2024.10644344
Scherpen,
J. M. A., & Kawano, Y. (2024). Data-Based Model
Reduction for Non-Linear Systems Based on Differential Balancing
(I). In Proceedings of the 2024 Conference on Decision
and Control
Fu,
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
Transactions on Control Systems Technology,
32(6), 2207-2222. https://doi.org/10.1109/TCST.2024.3405711
Machado,
J. E., Cucuzzella, M., & Scherpen, J. M.
A. (2024). Energy-based modeling and dissipativity
analysis of district heating systems. In A. Parisio, J.
Schiffer, & C. Hans (Eds.), System Level Control and
Optimisation of Microgrids (pp. 37-65). Institution of
Engineering and Technology. https://doi.org/10.1049/PBPO149E_ch2
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.
Beck,
C. L., Sandberg, H., Scherpen, J. M. A., Astolfi, A.,
Bhattacharjee, D., Kawano, Y., & Moreschini, A. (2024).
Forty Plus Years of Model Reduction and Still Learning
(I). In Proceedings of the 2024 Conference on Decision
and Control
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
Proceedings of the 26th International Symposium on Mathematical
Theory of Networks and Systems (MTNS 2024)
IFAC-PapersOnLine.
Cucuzzella,
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
International School on Energy 2023: Course 7th: Global Challenges
for Energy Sustainability (EPJ Web of Conferences; Vol. 310).
EDP Sciences. https://doi.org/10.1051/epjconf/202431000015
Dou,
Y., Cheng, X., & Scherpen, J. M. A. (2024).
Model Order Reduction of Lur'e Network Systems Using Almost
Equitable Partitions. In Proceedings of the 2024
Conference on Decision and Control
Sarkar,
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,
No. 5). Elsevier. https://doi.org/10.1016/j.ifacol.2024.07.070
Ferguson,
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
Workshop on Lagrangian and Hamiltonian Methods for Nonlinear
Control, June 10-12, 2024, Besançon, France (pp. 1-6).
(IFAC-PapersOnLine; Vol. 58, No. 6). IFAC. https://doi.org/10.1016/j.ifacol.2024.08.247
Chen,
X., Scherpen, J. M. A., &
Monshizadeh, N. (2024). Optimal Bidding Strategies in
Network-Constrained Demand Response: A Distributed Aggregative Game
Theoretic Approach. In 2024 European Control Conference,
ECC 2024 (pp. 1516-1521). (2024 European Control Conference,
ECC 2024). IEEE. https://doi.org/10.23919/ECC64448.2024.10591077
Dou,
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
2024). IEEE. https://doi.org/10.23919/ECC64448.2024.10591112
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
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).
IEEE. https://doi.org/10.1109/CDC49753.2023.10384050
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
IFAC.
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;
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,
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
Truncation. Paper presented at 2023 SIAM Conference on
Computational Science and Engineering(CSE23), Amsterdam,
Netherlands.
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).
(IFAC-PapersOnLine; Vol. 56, No. 2). IFAC. https://doi.org/10.1016/j.ifacol.2023.10.1663
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., & 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
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., Cucuzzella, M., &
Scherpen, J. M. A. (2023). Modeling and Passivity
Properties of Multi-Producer District Heating Systems. In
Proceedings of the IFAC World Congress 2023
Fu,
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
Systems Technology, 31(6), 2515 - 2530. 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. 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. 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., 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). IEEE. 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, J. E., Cucuzzella, M.,
Malan, A. J., Scherpen, J. M. A., & Hohmann, S.
(2022). Port-Hamiltonian Modeling of Hydraulics in 4th
Generation District Heating Networks. In Proceedings of
the 61st IEEE Conference on Decision and Control (CDC 2022)
(pp. 1182-1189). (Proceedings of the IEEE Conference on Decision
and Control; Vol. 2022-December). IEEE. https://doi.org/10.1109/CDC51059.2022.9992887
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. 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. 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. 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.
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. 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. 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. 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. 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.
2019
Jafarian,
M., Scherpen, J. M. A., Loeff, K., Mulder,
M., & Aiello, M. (2020). A combined
nodal and uniform pricing mechanism for congestion management in
distribution power networks. Electric Power
Systems Research, 180, Article 106088. https://doi.org/10.1016/j.epsr.2019.106088
| Laatst gewijzigd: | 08 januari 2025 11:38 |
View this page in: English