Title: "Robust Analysis and Synthesis for Linear Parameter Varying Systems"
More efficient aircraft can be designed by reducing weight and structure in the wings and fuselage. This makes the aircraft more flexible leading to dynamics that change rapidly with flight condition. A flexible aircraft can be modeled as a linear parameter varying (LPV) system with an arbitrary, i.e. not necessarily rational, dependence on the scheduling parameters. Uncertainty in the modeling of the associated aeroelastic dynamics motivates the need for new analysis and synthesis tools. The approach taken in this talk is to use integral quadratic constraints (IQCs) to model the uncertainty. Standard IQC analysis theorems can be formulated in the frequency domain or with a time-domain dissipation inequality. A factorization theorem is presented that clarifies the connection between the frequency domain and time-domain approaches. Finally, the time domain approach is used to derive new analysis and synthesis conditions for LPV systems. The talk is heavily influenced by the contributions of my friend and colleague Dr. Gary Balas who passed away too soon.
Dr. Seiler received his Ph.D. from the University of California, Berkeley in 2001. His graduate research focused on coordinated control of unmanned aerial vehicles and control over wireless networks. From 2004-2008, Dr Seiler worked at the Honeywell Research Labs on various aerospace and automotive applications including the redundancy management system for the Boeing 787, sensor fusion algorithms for automotive active safety systems and re-entry flight control laws for NASA's Orion vehicle. Since joining the University of Minnesota in 2008, Dr. Seiler has been working on fault-detection methods for safety-critical systems as well as advanced control of wind turbines and flexible aircraft.