Controller design

The fundamental question of taking uncertainty of the model in the design of high performance centralised or decentralised controllers into account is addressed from a large number of different ways: (1) Physically structured controllers in correspondence with the structure of the system to be controlled are investigated based on the Lagrangian and Hamiltonian framework and on energy control, (2) Optimisation based on e.g. semi definite programming is investigated for multi criteria robust controller design, (3) Fault tolerant controller design methods are developed that are able to detect and to modify the controller settings before a fault turns into a failure or catastrophe. (4) Model predictive control for classes of hybrid systems, etc.

• Theory and design of robust control systems
• Efficient analysis and synthesis tools for robust and scheduled controller design against time-varying and dynamic uncertainties
• Robust model predictive control
• Robust active control of noise and vibrations
• On weight adjustment in H control design
• Discrete-time sliding mode control
• Multi-agent control of large-scale hybrid systems
• Model predictive control for discrete-event systems
• Model predictive control for piece-wise affine systems
• Model predictive control for hybrid systems
• Predictive control of nonlinear systems in the process industry
• Robust and predictive control using neural networks
• The standard predictive control problem
• Model-based fault detection and controller reconfiguration for wind turbines
• Neuro-fuzzy modeling in model-based fault detection, fault isolation and controller reconfiguration
• Fuzzy control of multivariable processes
• Affordable digital fly-by-wire flight control systems for small commercial aircraft
• FDI applied to affordable digital fly-by-wire flight control systems
• Fuzzy model based control with use of a priori knowledge
• Analysis and design of nonlinear control systems for switching networks
• Stabilization of nonlinear RLC circuits: power shaping and passivation
• Real-time control of smart structures