Jeffrey T. Scruggs

Affiliations: 
2007-2011 Civil and Environmental Engineering Duke University, Durham, NC 
 2011- Civil and Environmental Engineering University of Michigan, Ann Arbor, Ann Arbor, MI 
Area:
Civil Engineering, Energy
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"Jeffrey T. Scruggs"
Bio:

https://ieeexplore.ieee.org/author/37297258500

Parents

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Wilfred D. Iwan grad student 2004 Caltech
 (Structural control using regenerative force actuation networks.)
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Publications

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Scruggs J. (2020) Technical Committee on Power Generation [Technical Activities] Ieee Control Systems Magazine
Ersal T, Kolmanovsky I, Masoud N, et al. (2020) Connected and automated road vehicles: state of the art and future challenges Vehicle System Dynamics. 58: 672-704
Zhang J, Taflanidis AA, Scruggs JT. (2020) Surrogate modeling of hydrodynamic forces between multiple floating bodies through a hierarchical interaction decomposition Journal of Computational Physics. 408: 109298
Lao Y, Scruggs JT. (2020) Nonlinear control of passive vibratory systems with finite actuation stroke Automatica. 118: 109013
McCullagh JJ, Scruggs JT. (2019) Analysis of a Synthetic Resistance Control System for a Back-Driven Three-Phase Vibration Harvester With a Finite Bus Voltage Ieee-Asme Transactions On Mechatronics. 24: 2897-2907
Kane MB, Lynch JP, Scruggs J. (2019) Run-Time Efficiency of Bilinear Model Predictive Control Using Variational Methods, With Applications to Hydronic Cooling Ieee/Asme Transactions On Mechatronics. 24: 718-728
Kody A, Scruggs J. (2019) Control of Impulsively Excited Vibration Energy Harvesters: Design and Viability Assessment Ieee Transactions On Control Systems and Technology. 1-16
Scruggs JT. (2018) Hydrodynamic Control of Wave Energy Devices [Bookshelf] Ieee Control Systems Magazine. 38: 135-137
Kane MB, Lynch JP, Scruggs J. (2018) Development of a Scalable Distributed Model Predictive Control System for Hydronic Networks with Bilinear and Hybrid Dynamics Journal of Computing in Civil Engineering. 32: 04018038
Lee J, Ghasemi AH, Okwudire CE, et al. (2017) A Linear Feedback Control Framework for Optimally Locating Passive Vibration Isolators With Known Stiffness and Damping Parameters Journal of Vibration and Acoustics. 139: 11006
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