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Kolloquium Technische Kybernetik im Wintersemester 2017/18

--- Titel: Finite Horizon Robustness Analysis of LTV Systems Using Integral Quadratic Constraints

Veranstaltungsdatum:  20. März 2018 16:00 Uhr

Prof. Peter Seiler
Aerospace Engineering and Mechanics
University of Minnesota, MN, USA

 

Tuesday 2018-03-20 16:00
IST-Seminar-Room V 2.255 - Pfaffenwaldring 9 - Campus Stuttgart-Vaihingen

 

Abstract

 

This talk covers theoretical and computational methods to analyze the robustness of uncertain linear time-varying (LTV) systems over finite time horizons. Motivating applications for this work include robotic systems and space launch / re-entry vehicles both of which undergo finite-time trajectories. Typical notions of robustness, e.g. nominal stability and gain/phase margins, can be insufficient for such systems. Instead, this talk focuses on robust induced gains and bounds on the reachable set of states. Sufficient conditions to compute robust performance bounds are formulated using dissipation inequalities and integral quadratic constraints. The analysis conditions are provided in two equivalent forms as Riccati differential equations and differential linear matrix inequalities. A computational approach is provided that leverages both forms of the analysis conditions.

 

   

  

Biographical Information

 

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.