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.
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 conducting research on more efficient use and distribution of energy. She was awarded two NWO grants for projects looking into sustainable energy systems. In 2020 she 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. Additionally, she was the first Dutchman to receive the Hendrik W. Bode Lecture Prize for her achievements in the scientific development of control systems and engineering.
As of 1 September 2023, Scherpen is the UG's rector magnificus.
Previously in the news
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). Manuscript submitted for publication. 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). Manuscript submitted for publication. 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. Manuscript submitted for publication.
In Proceedings of the 2024 Conference on Decision and
Control (pp. 8040-8045). IEEE.
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
Fu,
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
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
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. 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
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.
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