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Håvard Fjær Grip's Picture
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Member of:
347E
Robotic Systems Estimation, Decision, and Control Group

Håvard Fjær Grip
Research Technologist
(Full description>>)

Biography (more>>)
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. His current work includes modeling, simulation, and analysis for space and automotive applications, and motion planning and perception for unmanned sea surface vehicles.

Education (more>>)
PhD, Engineering Cybernetics, Norwegian University of Science and Technology, 2010
MSc, Engineering Cybernetics, Norwegian University of Science and Technology, 2006

Professional Experience (more>>)
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
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

Research Interests (more>>)
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

Selected Publications (more>>)

H. F. Grip, A. Saberi, and T. A. Johansen, "Observers for interconnected nonlinear and linear systems," Automatica, vol. 48, no. 7, pp. 1339–1346, 2012.

H. F. Grip, T. Yang, A. Saberi, and A. A. Stoorvogel, "Output synchronization for heterogeneous networks of non-introspective agents," Automatica, vol. 48, no. 10, pp. 2444–2453, 2012.

H. F. Grip, L. Imsland, T. A. Johansen, J. C. Kalkkuhl, and A. Suissa, "Vehicle sideslip estimation: Design, implementation, and experimental validation," IEEE Control Systems Magazine, vol. 29, no. 5, pp. 36-52, 2009.

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