Professorship of Control and Drive Systems
Organisational unit: Professoship
Topics
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.
Most downloaded publications
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Super-Twisting Sliding Mode Control for Differential Steering Systems in Vehicular Yaw Tracking Motion
Research output: Journal contributions › Journal articles › Research › peer-review
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Machine Vision Sensors: Editorial
Research output: Journal contributions › Other (editorial matter etc.) › Research
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Gain Adaptation in Sliding Mode Control Using Model Predictive Control and Disturbance Compensation with Application to Actuators
Research output: Journal contributions › Journal articles › Research › peer-review
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Tuning kalman filter in linear systems
Research output: Journal contributions › Journal articles › Research › peer-review
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Sliding mode and model predictive control for inverse pendulum
Research output: Journal contributions › Journal articles › Research › peer-review
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6
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Hysteresis Analysis and Control of a Metal-Polymer Hybrid Soft Actuator
Research output: Journal contributions › Journal articles › Research › peer-review
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Predicate‐based model of problem‐solving for robotic actions planning
Research output: Journal contributions › Journal articles › Research › peer-review
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8
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A sensor fault detection scheme as a functional safety feature for DC-DC converters
Research output: Journal contributions › Journal articles › Research › peer-review
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9
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An adaptive derivative estimator for fault-detection Using a dynamic system with a suboptimal parameter
Research output: Journal contributions › Journal articles › Research › peer-review
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10
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Conception and analysis of Cascaded Dual Kalman Filters as virtual sensors for mastication activity of stomatognathic craniomandibular system
Research output: Journal contributions › Conference article in journal › Research › peer-review
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11
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Extension of SEIR compartmental models for constructive Lyapunov control of COVID-19 and analysis in terms of practical stability
Research output: Journal contributions › Journal articles › Research › peer-review
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12
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A fault detection and data reconciliation algorithm in technical processes with the help of haar wavelets packets
Research output: Journal contributions › Journal articles › Research › peer-review
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13
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Vision-Based Deep Learning Algorithm for Detecting Potholes
Research output: Journal contributions › Conference article in journal › Research › peer-review
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14
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Visualization of the Plasma Frequency by means of a Particle Simulation using a Normalized Periodic Model
Research output: Journal contributions › Conference article in journal › Research › peer-review
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15
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Control of the inverse pendulum based on sliding mode and model predictive control
Research output: Journal contributions › Journal articles › Research › peer-review