A5020112103- Advanced Control Systems Optimization
- Building Energy and Comfort Optimization
- Control Systems and Identification
- Fault Detection and Control Systems
- Smart Grid Energy Management
- Refrigeration and Air Conditioning Technologies
- Aeroelasticity and Vibration Control
- Vehicle Dynamics and Control Systems
- Railway Systems and Energy Efficiency
- Stability and Control of Uncertain Systems
- Hydraulic and Pneumatic Systems
- Structural Health Monitoring Techniques
- Heat Transfer and Optimization
- Process Optimization and Integration
- Microgrid Control and Optimization
- Greenhouse Technology and Climate Control
- Railway Engineering and Dynamics
- Vibration and Dynamic Analysis
- Electrical Contact Performance and Analysis
- Probabilistic and Robust Engineering Design
- Aerodynamics and Fluid Dynamics Research
- Dynamics and Control of Mechanical Systems
- Iterative Learning Control Systems
- Electric and Hybrid Vehicle Technologies
- Transportation Planning and Optimization
TU Wien
2016-2025
Anstalt für Verbrennungskraftmaschinen List (Austria)
2022
University of Applied Sciences Technikum Wien
2020
Lenzing (Austria)
2018
Christian Doppler Laboratory for Thermoelectricity
2011
University of Vienna
1998
Dual fluidized bed (DFB) gasification is a promising method for producing valuable gaseous energy carriers from biogenic feedstocks as substitute fossil fuels. State-of-the-art DFB plants mainly rely on manual operation or single-input single-output control loops, and scientific contributions only exist controlling individual process variables. This leaves research gap in terms of comprehensive strategies gasification. To address this gap, we propose multivariate strategy that focuses...
In order to improve the ride comfort of lightweight railway vehicles, an active vibration reduction system using piezo-stack actuators is proposed and studied in simulations. The consists sensors mounted on vehicle car body. Via a feedback control loop, output signals which are measuring flexible deformation body generate bending moment, directly applied by actuators. This moment reduces structural Simulations have shown that significant level achieved.
In this paper, a cooperative fuzzy model-predictive control (CFMPC) is presented. The overall nonlinear plant assumed to consist of several parallel input-coupled Takagi-Sugeno (T-S) models. Each such T-S subsystem represented in the form local linear model network (LLMN). each LLMN realized by (MPC). For LLMN, outputs associated MPCs are blended membership functions, which leads controller (FMPC). resulting structure one FMPC for subsystem. Overall, combination FMPCs results, mutually...
Abstract This paper presents a methodology to design nonlinear distributed-parameter observer estimate internal temperature profiles in polymer electrolyte membrane fuel cells. Accurate knowledge of the spatial distributions allows beneficial insight into cell’s condition since is strongly coupled other cell states. The extended Kalman filter-based employs high-fidelity non-isothermal model for predicting distributions. A reduced-order model, preserving major dynamics and coupling effects...
In this paper, a new estimation method for the inner combustion torque of internal engines and misfire detection algorithm are presented. The estimate is based on parametric Kalman filter using measurements available commercial engine testbeds. modeled as superposition specially designed basis functions. Excellent noise attenuation, phase-free estimation, robust parametrization result from chosen structure. Misfire achieved by an interacting multiple model approach, where two dedicated...
This work presents a fuzzy model predictive controller for small-scale grate furnaces based on newly derived biomass combustion model. Several local linear controllers are designed selected number of operating points utilizing gap metric. The resulting merged with membership functions to form global nonlinear control structure. presented framework intends improve the transient and steady state operation by applying an optimal strategy estimation cover entire range furnace. open loop results...