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Håvard Fjær Grip is a Research Technologist in the Robotic Controls and Estimation Group. His specialties include nonlinear control and observer design, decentralized control, navigation, and vehicle state estimation. He received his MSc and PhD degrees in Engineering Cybernetics (Control Engineering) from the Norwegian University of Science and Technology in 2006 and 2010, respectively. He has previously worked for SINTEF ICT, Applied Cybernetics, on automotive control and estimation applications, including a contract project for Daimler Group Research & Advanced Engineering in 2007-2008. From 2010 to 2012 he conducted an independent research project at Washington State University, financed by a personal postdoctoral grant from the Research Council of Norway.
PhD, Engineering Cybernetics, Norwegian University of Science and Technology, 2010
MSc, Engineering Cybernetics, Norwegian University of Science and Technology, 2006
Since 2013: Research Technologist, Robotic Controls and Estimation Group, JPL
Since 2012: Adjunct Associate Professor, Department of Engineering Cybernetics, Norwegian University of Science and Technology
Since 2010: Adjunct Assistant Professor, School of Electrical Engineering and Computer Science, Washington State University
2010 - 2012: Conducted an independent research project at the School of Electrical Engineering and Computer Science, Washington State University (as Adjunct Assistant Professor), funded by a personal postdoctoral grant from the Research Council of Norway
2010: Postdoctoral Research Associate, School of Electrical Engineering and Computer Science, Washington State University
2007-2008: Contract project at Daimler Group Research & Advanced Engineering, while employed as a Scientific Researcher at SINTEF ICT, Applied Cybernetics
2006-2010: Doctoral Research Fellow, Department of Engineering Cybernetics, Norwegian University of Science and Technology
Nonlinear control and observer design
Navigation and vehicle state estimation
Decentralized control of heterogeneous systems (synchronization, formation)
Structurally based design techniques for stability and robustness of nonlinear systems