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Ian Cassidy, Ph.D. |
Email: ianlcassidy@gmail.com
Dynamics and control
Electromechanical transduction systems
Vibration energy harvesting
Structural response suppression
Data science & machine learning
Optimal causal control of a wave energy converter in a random sea, J. T. Scruggs, S. M. Lattanzio, A. A. Taflanidis, and I. L. Cassidy, Applied Ocean Research, 42: 1-15, 2013.
Nonlinear stochastic controllers for power-flow-constrained vibratory energy harvesters, I. L. Cassidy and J. T. Scruggs, Journal of Sound and Vibration, 332(13): 3134-3147, 2013.
Statistically linearized optimal control of an electromagentic vibratory energy harvester, I. L. Cassidy and J. T. Scruggs, Smart Materials and Structures, 21(8), Article #085003, 2012.
Multi-objective optimal control of vibratory energy harvesting systems, J. T. Scruggs, I. L. Cassidy, and S. Behrens, Journal of Intelligent Material Systems and Structures, 23(18):2077-2093, 2012.
Design and experimental characterization of an electromagnetic transducer for large-scale vibratory energy harvesting applications, I. L. Cassidy, J. T. Scruggs, S. Behrens, and H. P. Gavin, Journal of Intelligent Material Systems and Structures, 22(17):2009-2024, 2011. (Top 15 on the list of most read articles from December 2011 to February 2012.)
Optimization of partial-state feedback for vibratory energy harvesters subjected to broadband stochastic disturbances, I. L. Cassidy, J. T. Scruggs, and S. Behrens, Smart Materials and Structures 20(8), Article #085019, 2011.
Regeneratively-constrained LQG control of passive networks, E. C. Warner, I. L. Cassidy, and J. T. Scruggs, In: Proceedings of the 19th World Congress of the International Federation of Automatic Control, Cape Town, South Africa, August 2014.
Numerical solutions to optimal power-flow-constrained vibratory energy harvesting problems, I. L. Cassidy, W. Song, and J. T. Scruggs, In: Proceedings of the American Control Conference, Washington, DC, June 2013.
Multi-objective structural control for simultaneous response suppression and power generation, I. L. Cassidy and J. T. Scruggs, Presented at: ASCE Conference of the Engineering Mechanics Institute, South Bend, IN, June 2012.
A statistical linearization approach to optimal nonlinear energy harvesting, I. L. Cassidy and J. T. Scruggs, In: Proceedings of the SPIE Symposium on Smart Materials and Structures\NDE, San Diego, CA, March 2012. (2nd Place in the Best Student Paper Competition.)
Nonlinear stochastic feedback controllers for vibratory energy harvesters with power flow constraints, I. L. Cassidy, J. T. Scruggs, and S. Behrens, In: Proceedings of the ASME 2011 Conference on Smart Materials Adaptive Structures and Intelligent Systems, Scottsdale, AZ, September 2011. (Finalist in the Best Student Paper Competition.)
Design of electromagnetic energy harvesters for large-scale structural vibration applications, I. L. Cassidy, J. T. Scruggs, and S. Behrens, In: Proceedings of the SPIE Symposium on Smart Materials and Structures\NDE, San Diego, CA, March 2011.
Design and experimental characterization of a three phase, 1kN regenerative actuator, J. T. Scruggs, I. L. Cassidy, and S. Behrens, In: Proceedings of the 5th World Conference on Structural Control and Monitoring, Tokyo, Japan, July 2010.
Optimal and sub-optimal power management in broadband vibratory energy harvesters with one-directional power flow constraints, J. T. Scruggs, and I. L. Cassidy, In: Proceedings of the SPIE Symposium on Smart Materials and Structures\NDE, San Diego, CA, March 2010.
Ph.D., Civil and Environmental Engineering, Duke University, August 2012
M.S., Civil and Environmental Engineering, Duke University, June 2011
B.S.E. (With Distinction), Civil and Environmental Engineering, Duke University, May 2008