Professorship for Process Measurement Technology and Intelligent Systems
Organisational unit: Section
Topics
Die Professur für Prozessmesstechnik/Intelligente Systeme beschäftigt sich mit Automatisierungstechnologien, Methoden und Systeme zur Erhöhung der Lebensqualität (Lebensmittel, Atemluft, Medizin) und der Sicherheit (Automobil, Feuerschutz), Messmethoden und Techniken, Sensoren (auch auf Basis von Nanofaser), Multisensorsysteme und entsprechende Mikrosysteme, davon intelligente Anwendungen in der Produktion (Innovative Bearbeitungsmethoden), Prozessüberwachung zur fehlerfreien Produktion ("zero defect manufacturing") sowie Röntgennachweissysteme zur Grundlagenforschung in QED.
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A Sliding Mode Control with a Bang-Bang Observer for Detection of Particle Pollution
Schimmack, M. & Mercorelli, P., 2016, Variable-Structure Approaches: Analysis, Simulation, Robust Control and Estimation of Uncertain Dynamic Processes. Rauh, A. & Senkel, L. (eds.). Cham: Springer, p. 125-153 29 p. (Mathematical Engineering).Research output: Contributions to collected editions/works › Contributions to collected editions/anthologies › Research › peer-review
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Comparing data scaling based recursive least squares algorithms with Kalman Filter for nano parameters identification
Schimmack, M., Mercorelli, P. & Georgiadis, A., 23.01.2015, Proceedings of 2014 International Conference on Modelling, Identification and Control, ICMIC 2014: ICMIC 2014 Melbourne, Australia December 3rd - 5th , 2014; Proceedings . IEEE - Institute of Electrical and Electronics Engineers Inc., p. 316 - 321 6 p. 7020772. (Proceedings of 2014 International Conference on Modelling, Identification and Control, ICMIC 2014).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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Contemporary sinusoidal disturbance detection and nano parameters identification using data scaling based on Recursive Least Squares algorithms
Schimmack, M. & Mercorelli, P., 23.12.2014, Proceedings - 2014 International Conference on Control, Decision and Information Technologies, CoDIT 2014: Proceedings. Kacem, I., Laroche, P. & Roka, Z. (eds.). IEEE - Institute of Electrical and Electronics Engineers Inc., p. 510-515 6 p. 6996946. (Proceedings - 2014 International Conference on Control, Decision and Information Technologies, CoDIT 2014).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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Optical part measuring inside a milling machine
Meier, N. & Georgiadis, A., 2014, Measurement Technology and Intelligent Instruments XI. Schmitt, R. & Bosse, H. (eds.). Trans Tech Publ., p. 440-445 6 p. (Key Engineering Materials; vol. 613).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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A sliding mode control using an extended Kalman filter as an observer for stimulus-responsive polymer fibres as actuator
Schimmack, M. & Mercorelli, P., 2017, In: International Journal of Modelling, Identification and Control. 27, 2, p. 84-91 8 p.Research output: Journal contributions › Journal articles › Research › peer-review
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Comparing Two Voltage Observers in a Sensorsystem using Repetitive Control
Schimmack, M., da Costa, M. L. & Mercorelli, P., 2016, In: IFAC-PapersOnLine. 49, 14, p. 7-11 5 p.Research output: Journal contributions › Conference article in journal › Research › peer-review
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Anatomy of Discrete Kalman Filter and Its Implementation for Sensorless Velocity Estimation of Organic Actuator
Schimmack, M. & Mercorelli, P., 2016, In: IFAC-PapersOnLine. 49, 6, p. 110-114 5 p.Research output: Journal contributions › Conference article in journal › Research › peer-review
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Anatomy of Haar Wavelet Filter and Its Implementation for Signal Processing
Schimmack, M., Nguyen, S. & Mercorelli, P., 2016, In: IFAC-PapersOnLine. 49, 6, p. 99-104 6 p.Research output: Journal contributions › Conference article in journal › Research › peer-review
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Noise Detection for Biosignals Using an Orthogonal Wavelet Packet Tree Denoising Algorithm
Schimmack, M. & Mercorelli, P., 01.03.2016, In: International Journal of Electronics and Telecommunications. 62, 1, p. 15-21 7 p.Research output: Journal contributions › Journal articles › Research › peer-review
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Scaling-based Least Squares Methods with Implemented Kalman filter Approach for Nano-Parameters Identification
Schimmack, M. & Mercorelli, P., 2016, In: International Journal of Modelling, Identification and Control. 25, 2, p. 85-92 8 p.Research output: Journal contributions › Journal articles › Research › peer-review