- Dynamic optimization of large-scale systems
- Stochastic optimization under uncertainty
- Optimization of hybrid systems
- Real-time optimization
- Development of efficient simulation and optimization methods as well as corresponding software packages for design and operation of industrial processes
Applications:
- Energy systems engineering
- Parameter identification and optimization of processes in power plants
- Practically suitable approaches for power plant dispatch
- Optimal and robust operation of electrical energy supply networks under uncertainty
- Management of water resources systems
- Modeling and optimal control of ground water systems
- Optimization of operation of water supply networks
- Optimization of waste water purification processes
- Systems biology
- Investigation of regulatory strategies in metabolic networks by optimal control methods
- Identification and explanation of liver zonation
- Chemical process engineering
- Dynamic optimization of distillation columns
- Real-time optimizaton of adsorption/desorption plants
- 3B based autonomous driving
- data-based
- model-based
- algorithm-based
- Simulation and optimization of energy and chemical processes
- Optimization of energy supply systems with uncertain wind and solar energy penetration
- Optimization and operation of ground water, water supply, and waste water purification systems
- Model-based nonlinear model predictive control of complex power plant processes