The Institute is mainly concerned with

1. System Analysis and Modelling

• Compact representation of nonlinear systems
• Quadratic extensions of bilinear forms
• Extended State Affine Systems
• StructureIdentification 

1.2. Parameter estimation for nonlinear Systems

• Subspace identification of extended state affine systems
• LPV and NLPV models
• Iterative identification of polynomial NARX models
• Adaptive LMS estimation

 1.3.  Data Based system analysis

• Fault-detection and analysis of complex systems
• Data driven causality analysis
• Learning fault detection architecture for unknown systems
• Iterative model-on-demand approach for fault diagnosis in engine systems

2.     Control

2.1   Optimal control of nonlinear systems

• Optimal approximate control of non-input affine nonlinear systems
• Approximate optimal control: Solution of the HJB problem via multimodel policy iteration
• Approximate optimal control: Iterative solution of the discrete time HJB
• Approximate optimal control: Solution of the HJB under input constraints
• Model predictive control

2.2   Tracking and rejection for nonlinear systems

• Rejection of quasi peridic disturbances
• Iterative learning control with time constraints
• Generation of trajectories for control from specifications
• Control of multiple agents

3.       Applications

3.1 Automotive

• Internal combustion engine test benches
• Multi agent systems

 

3.2 Medical applications

• Glucose control
• Monitoring
  
  

3.3 Industrial applications

• Drives and actuators
• Steel industry
• Elevator