Professorship of Control and Drive Systems

Organisational unit: Professoship

Main research areas

Control systems and cybernetics are among the most challenging fields of research, both on a theoretical level and in their application.

For this reason, the Control and Drive Systems Lab at the Leuphana University of Lüneburg always takes an approach which encompasses both levels – both the basics and the experimental, applied level. Our diverse team carries out research in extremely varied application projects which are often relevant for the industry – for example in the fields of sensorless/sensor-reduced control, model predictive control, sliding mode control, model reference adaptive control, geometric control methods – as well as in controls based on fractional calculus and Lyapunov’s methods.

Particular focus is placed on applying Kalman filtering, which is implemented as an optimal state observer or parameter assessor in applications such as system identification, error detection and sensor-reduced control.

The laboratory also actively applies wavelets in its development of wavelet-based algorithms for signal processing, process monitoring and error detection.

  1. 2025
  2. Published

    Trans pixelate substitution scheme for denoising computed tomography images towards high diagnosis accuracy

    Hu, F., Gu, H., Wu, F., Lhioui, C., Othmen, S., Alfahid, A., Yousef, A. & Mercorelli, P., 12.2025, In: Scientific Reports. 15, 1, 23 p., 11525.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  3. Published

    Business Analytics and Making Decision Based on Kalman Filter in Stock Prediction Case

    Kurniawan, S. & Mercorelli, P., 27.05.2025, 5th Congress on Intelligent Systems, CIS 2024: Volume 1. Kumar, S., Mary Anita, E. A., Kim, J. H. & Nagar, A. (eds.). Springer Science and Business Media Deutschland, p. 309-320 12 p. (Lecture Notes in Networks and Systems; vol. 1275).

    Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

  4. Published

    Mathematics in Robot Control for Theoretical and Applied Problems

    Mercorelli, P. (Editor), Sergiyenko, O. Y. (Editor) & Tsymbal, O. (Editor), 22.04.2025, Basel: MDPI AG. 296 p. (Mathematics)

    Research output: Books and anthologiesCollected editions and anthologiesResearch

  5. Published

    Noninteracting optimal and adaptive torque control using an online parameter estimation with help of polynomials in EKF for a PMSM

    Zwerger, T. & Mercorelli, P., 01.03.2025, In: ISA Transactions. 158, p. 452-467 16 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  6. Published

    Automatic Tuning of Extended Kalman Filter in Synchronous Reluctance Motor Drives with a Master-Slave Configuration

    Rigon, S., Haus, B., Mercorelli, P. & Zigliotto, M., 27.02.2025, In: IEEE Open Journal of Power Electronics. 6, p. 734-746 13 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  7. Published

    Inner loop model predictive control and outer loop PI reference governor for PMSMs with input and state saturation for torque control

    Zwerger, T. & Mercorelli, P., 01.02.2025, In: Mathematics and Computers in Simulation. 228, p. 178-201 24 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  8. Published

    Dynamic Performance Analysis and Fault Ride-Through Enhancement by a Modified Fault Current Protection Scheme of a Grid-Connected Doubly Fed Induction Generator

    Talani, R. A., Kaloi, G. S., Ali, A., Bijarani, M. A., Abbas, G., Hatatah, M., Mercorelli, P. & Touti, E., 02.2025, In: Machines. 13, 2, 20 p., 110.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  9. Published

    An Over-Actuated Hexacopter Tilt-Rotor UAV Prototype for Agriculture of Precision: Modeling and Control

    Pimentel, G. O., Santos, M. F. D., Lima, J., Mercorelli, P. & Fernandes, F. M., 15.01.2025, In: Sensors. 25, 2, 27 p., 479.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  10. E-pub ahead of print

    Neural Network-Based Finite-Time Control for Stochastic Nonlinear Systems with Input Dead-Zone and Saturation

    Kharrat, M., Krichen, M., Alhazmi, H. & Mercorelli, P., 11.01.2025, (E-pub ahead of print) In: Arabian Journal for Science and Engineering. 11 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  11. Published

    Neural network-based adaptive fault-tolerant control for strict-feedback nonlinear systems with input dead zone and saturation

    Kharrat, M., Krichen, M., Alhazmi, H. & Mercorelli, P., 01.2025, In: Journal of the Franklin Institute. 362, 2, 21 p., 107471.

    Research output: Journal contributionsJournal articlesResearchpeer-review

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