Publications

Journal Articles

  1. Necessary Condition for Network Identifiability with Partial Excitation and Measurement
    X. Cheng, S. Shi, I. Lestas, and P. M. J. Van den Hof(2023)
    IEEE Transactions on Automatic Control, Early Access, 2023 [arXiv]

  2. Clustering-Based Average State Observer Design for Large-Scale Network Systems
    M. U. B. Niazi, X. Cheng, C Canudas-de-Wit, J. M. A. Scherpen(2023)
    Automatica, vol. 151, 110914, 2023 [arXiv] [HAL]

  3. Reduced-Order Modeling of Diffusively Coupled Network Systems: An Optimal Edge Weighting Approach
    X. Cheng, L. Yu, D. Ren, and J. M. A. Scherpen(2022)
    IEEE Transactions on Automatic Control, Early Access, 2022 [arXiv]

  4. Excitation allocation for generic identifiability of linear dynamic networks with fixed modules
    H. J. Dreef, S. Shi, X. Cheng, M. C. F. Donkers, and P. M. J. Van den Hof
    IEEE Control Systems Letters, vol. 6, pp. 2587-2592, 2022 [arXiv]

  5. Interconnection and Approximation in Networks of Dissipative Systems: Addressing Topological Simplification
    S. Weiland and X. Cheng
    IEEE Control Systems Magazine, vol. 42, no. 2, pp.107-117, 2022.

  6. \(H_2\) model reduction for diffusively coupled second-order networks by convex-optimization
    L. Yu, X. Cheng, J. M. A. Scherpen, and J. Xiong
    Automatica, vol. 137, 110118, 2022. [arXiv]

  7. Generic identifiability of subnetworks in a linear dynamic network: the full measurement case
    S. Shi, X. Cheng, and P. M. J. Van den Hof
    Automatica, vol. 137, 110093, 2022. [arXiv]

  8. Full-Adaptive-Gain Based Intelligent Failure-Tolerant Control for Spacecraft Attitude Stabilization under Actuator Saturation
    N. Zhou, X. Cheng, Y. Xia, and Y. Liu
    IEEE Transactions on Cybernetics, vol. 52 no. , pp. 344-356, 2022.[arXiv]

  9. Allocation of Excitation Signals for Generic Identifiability of Linear Dynamic Networks
    X. Cheng, S. Shi, and P. M. J. Van den Hof
    IEEE Transactions on Automatic Control, vol. 67, no. 2, pp.692-705, 2021. [arXiv]

  10. Single module identifiability in linear dynamic networks with partial excitation and measurement
    S. Shi, X. Cheng, and P. M. J. Van den Hof
    IEEE Transactions on Automatic Control, Early Access, (2021). [arXiv]

  11. Fixed-Time Cooperative Behavioral Control for Networked Autonomous Agents with Second-Order Nonlinear Dynamics
    N. Zhou, X. Cheng, Z. Sun, Y. Xia, and Y. Liu
    IEEE Transactions on Cybernetics, Early Access, (2021). [arXiv]

  12. Model Reduction Methods for Complex Network Systems
    X. Cheng, and J. M. A. Scherpen
    Annual Review of Control, Robotics, and Autonomous Systems, vol. 4, pp. 425-453, 2021. [arXiv]

  13. Novel Gramians for Linear Semistable Systems
    X. Cheng, and J. M. A. Scherpen
    Automatica, vol. 115, 108911, 2020. [arXiv]

  14. Clustering-Based Model Reduction of Laplacian Dynamics with Weakly Connected Topology.
    X. Cheng, and J. M. A. Scherpen
    IEEE Transactions on Automatic Control, vol. 65, no. 10, pp. 4393-4399, 2020. [arXiv]

  15. Model Reduction of Synchronized Homogeneous Lur'e Networks with Incrementally Sector-Bounded Nonlinearities.
    X. Cheng, J. M. A. Scherpen, and F. Zhang
    European Journal of Control, vol. 50, pp. 11-19, 2019.

  16. Balanced Truncation of Networked Linear Passive Systems.
    X. Cheng, J. M. A. Scherpen, and B. Besselink
    Automatica, vol. 104, pp. 17-25, 2019. [arXiv] Paper Prize Award in the triennium 2017-2019

  17. Distributed averaging control for voltage regulation and current sharing in DC Microgrids
    S. Trip, M. Cucuzzella, X. Cheng, and J. M. A. Scherpen
    IEEE Control Systems Letters, vol. 3, no. 1, pp. 174-179, 2019. [Paper link]

  18. Model Reduction of Multiagent Systems Using Dissimilarity-Based Clustering.
    X. Cheng, Y. Kawano, and J. M. A. Scherpen
    IEEE Transactions on Automatic Control, vol. 64, no. 4, pp. 1663-1670, 2019.

  19. A Robust Consensus Algorithm for Current Sharing and Voltage Regulation in DC Microgrids
    M. Cucuzzella, S. Trip, C. De Persis, X. Cheng, A. Ferrara, and A.J. van der Schaft
    IEEE Transactions on Control Systems Technology, vol. 27, no. 4, pp. 1583-1595, 2019. [arXiv] Outstanding Paper Award

  20. Clustering Approach to Model Order Reduction of Power Networks with Distributed Controllers.
    X. Cheng, and J. M. A. Scherpen
    Advances in Computational Mathematics, vol. 44, no. 6, pp. 1917-1939, 2018.

  21. Reduction of Second-Order Network Systems with Structure Preservation.
    X. Cheng, Y. Kawano, and J. M. A. Scherpen
    IEEE Transactions on Automatic Control, vol. 62, no. 4, pp. 5026-5038, 2017. [arXiv]

Book Chapter

  1. Reduced-order modeling of large-scale network systems.
    X. Cheng, J. M. A. Scherpen, and H. L. Trentelman
    Volumn 3 Applications, Model Order Reduction . (Berlin, Boston: De Gruyter, 2020)

Conference Papers
  1. Interpolants With Second-Order Structure in the Loewner Framework
    J. D. Simard, X. Cheng, A. Moreschini
    to appear in 22nd IFAC World Congress, Yokohama, Japan)

  2. Signal selection for local module identification in linear dynamic networks: A graphical approach
    S. Shi, X. Cheng, B. De Schutter, and P. M. J. Van den Hof
    to appear in 22nd IFAC World Congress, Yokohama, Japan)

  3. Distributed Formation Control of Multi-Robot Systems: A Fixed-Time Behavioral Approach
    N. Zhou, X. Cheng, Y. Xia, and Y. Liu
    Proc. 59th IEEE Conference on Decision and Control (CDC2020). 2020. pp. 4017-4022.

  4. Excitation allocation for generic identifiability of a single module in dynamic networks: a graphic approach
    S. Shi, X. Cheng, and P. M. J. Van den Hof
    IFAC-PapersOnLine, vol. 53, no. 2, pp. 40-45, 2020, (21st IFAC World Congress, Berlin, Germany)

  5. A suboptimal \(H_2\) clustering-based model reduction approach for linear network systems
    X. Cheng, I. Necoara
    Proc. 17th European Control Conference (Virtual ECC2020). Saint Petersburg, Russia, 2020, pp. 1961-1966.

  6. Allocation of Excitation Signals for Generic Identifiability of Dynamic Networks
    X. Cheng, S. Shi, and P. M. J. Van den Hof
    Proc. 58th IEEE Conference on Decision and Control (CDC2019). Nice, France, 2019, pp. 5507-5512.

  7. Synchronization preserving model reduction of multi-agent network systems by eigenvalue assignments
    L. Yu, X. Cheng, and J. M. A. Scherpen
    Proc. 58th IEEE Conference on Decision and Control (CDC2019). Nice, France, 2019, pp. 7794-7799.

  8. \(H_2\) sub-optimal model reduction for second-order network systems
    L. Yu, X. Cheng, and J. M. A. Scherpen
    Proc. 58th IEEE Conference on Decision and Control (CDC2019). Nice, France, 2019, pp. 5062-5067.

  9. Structure-based Clustering Algorithm for Model Reduction of Large-scale Network Systems
    M. U. B. Niazi, X. Cheng, C Canudas-de-Wit, J. M. A. Scherpen
    Proc. 58th IEEE Conference on Decision and Control (CDC2019). Nice, France, Dec. 2019, pp. 5038-5043.

  10. Reduced order modeling of linear consensus networks using weight assignments.
    X. Cheng, L. Yu, and J. M. A. Scherpen
    Proc. 17th European Control Conference (ECC2019). Napoli, Italy, June 2019, pp. 2005-2010.

  11. Quaternion-Based Fault-Tolerant Control Design for Spacecraft Attitude Stabilization: An Anti-Saturation Method.
    N. Zhou, X. Cheng, Y. Xia, J. Huang, and Q. Wang
    Proc. 38th Chinese Control Conference (CCC2019). Guangzhou, China, July 2019, pp. 2558-2663.

  12. Multi-agent formation control using angle measurements.
    L. Chen, C. Li, M. Cao, X. Cheng, and Y. A. Kapitanyuk.
    Proc. 2019 American Control Conference (ACC2019). Philadelphia, PA, USA, July 2019, pp. 59-64.

  13. Distributed Averaging Control for Voltage Regulation and Current Sharing in DC Microgrids: Modelling and Experimental Validation.
    S. Trip, R. Han, M. Cucuzzella, X. Cheng, J. M. A. Scherpen, and J. Guerrero
    IFAC-PapersOnLine, vol. 51, no. 23, pp. 242-247, 2018, (7th IFAC Workshop on Distributed Estimation and Control in Networked Systems (NecSys2018). Groningen, The Netherlands)

  14. Sliding Modes for Voltage Regulation and Current Sharing in DC Microgrids.
    S. Trip, R. Han, M. Cucuzzella, C. De Persis, X. Cheng, and A. Ferrara
    Proc. 2018 American Control Conference (ACC2018). Milwaukee, The USA, June 2018, pp. 6778-6783.

  15. Robust Synchronization Preserving Model Reduction of Lur'e Networks.
    X. Cheng and J. M. A. Scherpen
    Proc. 16th European Control Conference (ECC2018). Limassol, Cyprus, June 2018, pp. 2254-2259.

  16. A New Controllability Gramian for Semistable Systems and its Application to Approximation of Directed Networks.
    X. Cheng and J. M. A. Scherpen
    Proc. 56th IEEE Conference on Decision and Control (CDC2017). Melbourne, Australia, Dec. 2017, pp. 3823-3828.

  17. Balanced Truncation Approach to Linear Network System Model Order Reduction.
    X. Cheng and J. M. A. Scherpen
    IFAC-PapersOnLine, vol. 50, no. 1, pp. 2451-2456, 2018, (20th IFAC World Congress (IFAC2017). Toulouse, France)

  18. Model reduction of second-order network systems using graph clustering.
    X. Cheng, J. M. A. Scherpen, and Y. Kawano
    Proc. 55th IEEE Conference on Decision and Control (CDC2016). Las Vegas, the USA, Dec. 2016, pp. 7471-7476.

  19. Introducing network Gramians to undirected network systems for structure-preserving model reduction.
    X. Cheng, and J. M. A. Scherpen
    Proc. 55th IEEE Conference on Decision and Control (CDC2016). Las Vegas, the USA, Dec. 2016, pp. 5756-5761.

  20. Clustering-based Model Reduction of Network Systems with Error Bounds
    X. Cheng, Y. Kawano and J. M. A. Scherpen
    Proc. 22nd International Symposium on Mathematical Theory of Networks and Systems (MTNS2016). Minnesota, the USA, July 2016, pp. 90-95.

  21. Graph structure-preserving model reduction of linear network systems
    X. Cheng, Y. Kawano and J. M. A. Scherpen
    Proc. 15th European Control Conference (ECC2016). Aalborg, Denmark, June 2016, pp. 1970-1975.