Professor Seiler’s research is in the area of control systems with applications to aerospace systems and wind energy. Modern control systems are typically designed using a model of the aircraft dynamics. One aspect of Professor Seiler’s research is to develop tools to analyze the effect of model uncertainty and nonlinearities on system performance. He also develops the theory required to design control algorithms that are robust to model uncertainty and nonlinearities. Professor Seiler is currently applying his tools to make wind energy more cost-effective. Advanced control algorithms can increase the power capture and reduced structural loads on large, industrial scale wind turbines. Another aspect of Professor Seiler’s research is to develop algorithms to increase the reliability of safety critical systems. Professor Seiler previously worked on the flight control electronics for the Boeing 787 aircraft. Commercial aircraft achieve remarkable levels of safety and reliability mainly through the use of redundant components, e.g. multiple redundant computers. He hopes to develop algorithms to achieve high levels of reliability in other domains, e.g. unmanned aerial vehicles and automotive vehicles, without using redundant components.
Ph.D., Mechanical Engineering, University of California, Berkeley, 2001
B.S., Mechanical Engineering, University of Illinois at Urbana-Champaign, 1996
B.S., Mathematics, Unersity of Illinois at Urbana-Champaign, 1996