Forschung / Research

• Methoden, Mechatronik und Systemdynamik

Kurzvita / CV

Veröffentlichungen / Publications

• Boschmann, W.;Bakhshande, F.; Söffker, D.: Complementary object detection: Improving reliability of object candidates using redundant detection approaches. ESREL, Southampton, 2023, 225-232.
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• Kipchirchir, E.; Bakhshande, F.; Söffker, D.: A µ-Synthesis Approach for Robust Control of Wind Turbines. ASME International Design Engineering Technical Conferences & Computers and Information in Engineering Conference 2023 (IDETC-CIE 2023), Boston, Massachusetts, August 20-23, 2023, accepted.
• Zydeck, M., Bakhshande, F.; Söffker, D.: Neural network-based structured mpc: A model predictive control approach. ASME IDETC-2023, Boston, -, 2023, 7, accepted.
• Bakhshande, F.; Kahar, H.; Söffker, D.: Modeling and control of chaotic jumping of an inverted flexible pendulum system. ASME IDETC , Boston, USA, August 20-23rd, 2023, accepted.
• Bakhshande, F.; Spiller, M.; Hering, J.; Söffker, D.: Computationally efficient neural network-based model predictive control for real-time implementation . ASME IDETC , Boston, USA, August 20-23rd, 2023, accepted.
• Salighe, S.; Trivedi, N.; Bakhshande, F.; Söffker, D.: Decoupled model-free adaptive control of a nonlinear MIMO system: An experimental comparison of approaches applied to a three-tank system. ASME IDETC , Boston, USA, August 20-23rd, 2023, accepted.
• Bakhshande, F.; Ameyaw, D. A.; Madan, N.; Söffker, D.: New Metric for Evaluation of Deep Neural Network Applied in Vision-Based Systems. Applied Science, Vol. 12, No. 7, 2022, pp. 3251.
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• Bakhshande, F.; Söffker, D.: What makes the difference? State-of-the-art and new perspectives on precision and task-oriented drones for agricultural use. AgEng2020 Conference, Portugal, 2021, accepted.
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• Bakhshande, F.; Söffker, D.: Adaptive Step Size Control of Extended/Unscented Kalman Filter using Event Handling Concept. Frontiers Mechanical Engineering, 2020.
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• Bakhshande, F.; Bach, R.; Söffker, D.: Robust control of a hydraulic cylinder using an observer-based sliding mode control: Theoretical development and experimental validation. Control Engineering Practice, Elsevier, Vol. 95, 2020.
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• Bakhshande, F.; Spiller, M.; King, Y.L; Söffker, D.: Computationally Efficient Model Predictive Control for Real Time Implementation experimentally applied on a Hydraulic Differential Cylinder. Proc. of the IFAC World Congress 2020, Berlin, Germany, 2020.
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• Spiller,M.; Bakhshande,F.; Söffker, D.: Adaptive neural network based predictive control of nonlinear systems with slow dynamics. Proceedings of the ASME 2020 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, Virtual, August 17–19, 2020, Vol. 2, pp. V002T02A029a.
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• Bakhshande, F.; Boschmann, W.; Dahlke, L.; Henn, R.; Höpken, J.; Kracht, F.; Maas, N.; Oberhagemann, J.; Schramm, D.; Sieberg, P.; Singh-Thind, N.; Söffker, D.; Spiller, M.: The AutoBin project – Key concepts, status, and intended outcomes. Autonomous Inland and Short Sea Shipping Conference - AISS2020, Duisburg, Germany, Oct 23, 2020.
• Bakhshande, F.; Söffker, D.: Proportional-Integral-Observer-based backstepping approach for position control of a hydraulic differential cylinder system with model uncertainties and disturbances. ASME Journal of Dynamic Systems, Measurement and Control, Vol. 140 (12), 2018, pp. 121006.
• Spiller, M.; Bakhshande, F.; Söffker, D.: The uncertainty learning filter: a revised smooth variable structure filter. Signal Processing - An International Journal, 2018, pp. 217-226.
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• Bakhshande, F.; Söffker, D.: Variable step size Kalman Filter using event handling algorithm for switching systems. Proceedings of the ASME 2018 IDETC/CIE, Quebec, Canada, 2018, Vol. 6, pp. V006T09A013.
• Bakhshande, F.; Söffker, D.: Robust control of a hydraulic cylinder using observer-based nonlinear controllers: Theoretical development and experimental validation. 51. Regelungstechnisches Kolloquium, Boppard, February 15-17, 2017.
• Bakhshande, F.; Söffker, D.: Robust control approach for a hydraulic differential cylinder system using a Proportional-Integral-Observer-based backstepping control. IEEE/American Control Conference (ACC), Seattle, WA, USA, 2017, pp. 3102-3107.
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• Bakhshande, F.; Söffker, D.: Proportional-Integral-Observer With Adaptive High-Gain Design Using Funnel Adjustment Concept. ASME 2017 International Design Engineering Technical Conferences (IDETC), Cleveland, Ohio, USA, 2017, pp. V006T10A011.
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• Bakhshande, F.; Söffker, D.: Adaptive gain scheduling of Proportional-Integral-Observer using funnel adjustment concept. GAMM FA Dynamik und Regelungstheorie, Freiberg, May 12-13, 2016.
• Bakhshande, F.; Söffker, D.: Proportional-Integral-Observer: A brief survey with special attention to the actual methods using ACC Benchmark. IFAC-PapersOnLine, Vol. 48(1), 2015, pp. 532-537.
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• Bakhshande, F.; Söffker, D.: Reconstruction of nonlinear characteristics by means of advanced observer design approaches. Proc. ASME 2015 Dynamic Systems and Control (DSC) Conference, Ohio, USA, Vol. 2, 2015, pp. V002T23A007.
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• Bakhshande, F.; Söffker, D.: Robust estimation of unknown inputs by using adaptive observer. 18. Workshop GAMM FA Dynamik und Regelungstheorie, Hamburg, März 14-15, 2015.
• Bakhshande, F.; Söffker, D.: Robust control of a hydraulic cylinder using observer-based sliding mode control method. GAMM FA Dynamik und Regelungstheorie, Duisburg, October 1-2, 2015.
• Bakhshande, F.; Söffker, D.: High-Gain Scheduling of the Proportional-Integral-Observer. Proc. Appl. Math. Mech., 2014, pp. 927-928.
• Bakhshande, F.; Söffker, D.: High-Gain Scheduling of the Proportional-Integral-Observer. GAMM FA Dynamik und Regelungstheorie, Anif/Salzburg, 45536, 2014.