Peter J. Seiler

Peter J. Seiler

Peter J. Seiler

Associate Professor ,
Department of Aerospace Engineering and Mechanics

Contact

Akerman Hall
Rm 224
110 Union Street SE

Minneapolis,

MN

55455

Education

Ph.D., Mechanical Engineering, University of California, Berkeley, 2001

B.S., Mechanical Engineering, University of Illinois at Urbana-Champaign, 1996

B.S., Mathematics, University of Illinois at Urbana-Champaign, 1996

Professional Background

Associate Professor, Aerospace Engineering & Mechanics, University of Minnesota, 2016-Present

Assistant Professor, Aerospace Engineering & Mechanics, University of Minnesota, 2011-2016

Senior Research Associate, Aerospace Engineering & Mechanics, University of Minnesota, 2008-2011

 Principal Scientist R&D, Honeywell, 2004-2008

 Assistant Professor, Department of Mechanical & Industrial Engineering, University of Illinois at Urbana-Champaign, 2002-2004

Visiting Postdoctoral Scholar, Department of Mechanical Engineering, University of California, Berkeley, 2002

Research Assistant, Department of Mechanical Engineering, University of California, Berkeley, 1997-2001

Scientific & Professional Societies
American Institute of Aeronautics and Astronautics
Institute of Electrical and Electronics Engineers
Research Interests

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.

For more information about Professor Selier's research click here

Currently Teaching Courses
AEM 8423 -- Convex Optimization Methods in Control
Honors and Awards

2016: Energy Systems Best Paper Award, ASME Dynamic Systems and Control Conference

2014: U of MN Postdoc. Assoc. Outstanding Post Doctoral Mentor, Hon. Mention

2013: NSF Faculty Early Career Development Award

2012: Institute on the Environment Resident Fellow

2004: Honeywell Bravo Silver Award for work on 787 Flight Control Electronics

2002: O. Hugo Schuck Award for best paper, American Control Conference

2001: Outstanding Graduate Student Instructor, Univ of CA, Berkeley

1996: Bronze Tablet, Awarded to top 3% of graduating class, U of IL

1996: B.T. Chao Award, University of Illinois –Urbana/Champaign

1996: Thiokol Award, Awarded for excellence in engineering design, U of IL

Selected Publications

Carrasco J., & Seiler, P., 2018, Conditions for the equivalence between IQC and graph separation stability results, International Journal of Control, (Journal Article) 

Leung, T. J., Rife, J. H., Seiler, P. & Venkataraman, R., 2017, Comparison of fault-tree models for fault detection, isolation, and recovery algorithms, Journal of Aerospace Information Systems, Vol. 14, Issue 9, p. 517-522, (Journal Article) 

Venkataraman, R. & Seiler, P., 2017, Convex LPV synthesis of estimators and feedforwards using duality and integral quadratic constraints, International Journal of Robust and Nonlinear Control, (Journal Article) 

Szab, Z., Seiler, P. & Bokor, J., 2017, Internal stability and loop-transformations: an overview on LFTs, Mbius transforms and chain scattering, IFAC-PapersOnLine, Vol. 50, Issue 1, p. 7547-7553, (Journal Article) 

Fry, J. M., Farhood, M. & Seiler, P. , 2017, IQC-based robustness analysis of discrete-time linear time-varying systems, International Journal of Robust and Nonlinear Control, 10.1002/rnc.3731, (Journal Article)