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Dr.-Ing. Fateme Bakhshande

Fakultät für Ingenieurwissenschaften

Anschrift
Lotharstraße 1
47057 Duisburg
Raum
MB 351
Telefon
+49 203 379 3024
E-Mail
fateme.bakhshande@uni-due.de

Funktionen

  • Wiss. Mitarbeiterinnen/Mitarbeiter, Steuerung, Regelung und Systemdynamik

Die folgenden Publikationen sind in der Online-Universitätsbibliographie der Universität Duisburg-Essen verzeichnet. Weitere Informationen finden Sie gegebenenfalls auch auf den persönlichen Webseiten der Person.

    Artikel in Zeitschriften

  • Salighe, Soheil; Trivedi, Nehal; Bakhshande, Fateme; Söffker, Dirk
    Decoupled Model-Free Adaptive Control with Prediction Features Experimentally Applied to a Three-Tank System Following Time-Varying Trajectories
    In: Automation, Jg. 5, 2024, Nr. 4, S. 527 – 544
    DOI, Online Volltext (Open Access)
  • Bakhshande, Fateme; Ameyaw, Daniel Adofo; Madan, Neelu; Söffker, Dirk
    New Metric for Evaluation of Deep Neural Network Applied in Vision-Based Systems
    In: Applied Sciences, Jg. 12, 2022, Nr. 7, 3251
    DOI, Online Volltext (Open Access)
  • Bakhshande, Fateme; Söffker, Dirk
    Adaptive Step Size Control of Extended/Unscented Kalman Filter Using Event Handling Concept
    In: Frontiers in Mechanical Engineering, Jg. 5, 2020, S. 74
    DOI, Online Volltext (Open Access)
  • Bakhshande, Fateme; Spiller, Mark; King, Yen-Lin; Söffker, Dirk
    Computationally efficient model predictive control for real time implementation experimentally applied on a hydraulic differential cylinder
    In: IFAC-PapersOnLine, Jg. 53, 2020, Nr. 2, S. 8979 – 8984
    DOI (Open Access)
  • Bakhshande, Fateme; Bach, Resida; Söffker, Dirk
    Robust control of a hydraulic cylinder using an observer-based sliding mode control : Theoretical development and experimental validation
    In: Control Engineering Practice, Jg. 95, 2020, 104272
    DOI
  • Bakhshande, Fateme; Söffker, Dirk
    Proportional-Integral-Observer-Based Backstepping Approach for Position Control of a Hydraulic Differential Cylinder System with Model Uncertainties and Disturbances
    In: Journal of Dynamic Systems, Measurement and Control, Transactions of the ASME / American Society of Mechanical Engineers (ASME) (Hrsg.), Jg. 140, 2018, Nr. 12, S. 121006
    DOI
  • Spiller, Mark; Bakhshande, Fateme; Söffker, Dirk
    The uncertainty learning filter : A revised smooth variable structure filter
    In: Signal Processing, Jg. 152, 2018, S. 217 – 226
    DOI
  • Bakhshande, Fateme; Söffker, Dirk
    Proportional-Integral-Observer: A brief survey with special attention to the actual methods using ACC Benchmark
    In: IFAC-PapersOnLine, Jg. 28, 2015, Nr. 1, S. 532 – 537
    DOI

    • Beiträge in Sammelwerken und Tagungsbänden

  • Spiller, Mark; Bakhshande, Fateme; Söffker, Dirk
    Adaptive Neural Network Based Predictive Control of Nonlinear Systems With Slow Dynamics
    In: Proceedings of the ASME International Design Engineering Technical Conferences & Computers and Information in Engineering Conference - 2020 / 16th International Conference on Multibody Systems, Nonlinear Dynamics, and Control (MSNDC) ; August 17-19, 2020, online. New York: American Society of Mechanical Engineers (ASME), 2020
    DOI
  • Bakhshande, Fateme; Söffker, Dirk
    Variable step size Kalman filter using event handling algorithm for switching systems
    In: Proceedings of the ASME Design Engineering Technical Conference: Volume 6: 14th International Conference on Multibody Systems, Nonlinear Dynamics, and Control / ASME 2018, Quebec City, Quebec, Canada, August 26–29, 2018. New York: American Society of Mechanical Engineers (ASME), 2018, S. V006T09A013
    DOI
  • Bakhshande, Fateme; Söffker, Dirk
    Robust control approach for a hydraulic differential cylinder system using a Proportional-Integral-Observer-based backstepping control
    In: 2017 American Control Conference (ACC) / Sun, Jing; American Control Conference, 24-26 May 2017, Seattle, Washington / American Control Conference (Hrsg.). Piscataway: IEEE, 2017, S. 3102 – 3107
    DOI

    • Vorträge

  • Bakhshande, Fateme; Boschmann, Waldemar; Dahlke, Lennart; Henn, Rupert; Höpken, Jens; Jarofka, Maximilian; Kracht, Frédéric Etienne; Maas, Niko; Oberhagemann, Jan; Schramm, Dieter; Sieberg, Philipp; Singh-Thind, Navreet; Söffker, Dirk; Spiller, Mark
    The AutoBin Project : Key Concepts, Status, and Intended Outcomes
    Autonomous Inland and Short Sea Shipping Conference ; AISS2020 ; 23 October 2020, Duisburg,
    Duisburg, 2020