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Burkay Orten, Prakash Ishwar, W. Clem Karl, Venkatesh Saligrama, Homer H. Pien.  2011.  Sensing-aware classification with high-dimensional data. Proceedings of the {IEEE} International Conference on Acoustics, Speech, and Signal Processing, {ICASSP} 2011, May 22-27, 2011, Prague Congress Center, Prague, Czech Republic. :3700–3703.
Burkay Orten, Prakash Ishwar, William Clement Karl, Venkatesh Saligrama.  2011.  Sensing structure in learning-based binary classification of high-dimensional data. 49th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2011, Allerton Park {&} Retreat Center, Monticello, IL, USA, 28-30 September, 2011. :1521–1528.
Brugarolas, R., Roberts, D., Sherman, B., Bozkurt, A..  2013.  Machine Learning Based Posture Estimation for a Wireless Canine Machine Interface. on Biomedical Wireless Technologies, Networks, and Sensing Systems (BioWireleSS),.
Brugarolas, R., Valero-Sarmiento, J. M., Bozkurt, A., Essick, G..  2016.  Auto-Adjusting Mandibular Repositioning Device for In-Home Use. 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Orlando, FL
Brown, Fraser, Nötzli, Andres, Engler, Dawson.  2016.  How to Build Static Checking Systems Using Orders of Magnitude Less Code. Proceedings of the Twenty-First International Conference on Architectural Support for Programming Languages and Operating Systems. :143–157.
Botha, Hermanus V., Boddhu, Sanjay K., McCurdy, Helena B., Gallagher, John C., Matson, Eric T., Kim, Yongho.  2015.  A Research Platform for Flapping Wing Micro Air Vehicle Control Study. Robot Intelligence Technology and Applications 3: Results from the 3rd International Conference on Robot Intelligence Technology and Applications. :135–150.

The split-cycle constant-period frequency modulation for flapping wing micro air vehicle control in two degrees of freedom has been proposed and its theoretical viability has been demonstrated in previous work. Further consecutive work on developing the split-cycle based physical control system has been targeted towards providing on-the-fly configurability of all the theoretically possible split-cycle wing control parameters with high fidelity on a physical Flapping Wing Micro Air Vehicle (FWMAV). Extending the physical vehicle and wing-level control modules developed previously, this paper provides the details of the FWMAV platform, that has been designed and assembled to aid other researchers interested in the design, development and analysis of high level flapping flight controllers. Additionally, besides the physical vehicle and the configurable control module, the platform provides numerous external communication access capabilities to conduct and validate various sensor fusion study for flapping flight control.

Boggs, Wesley, Heaslip, Kevin, Louisell, Chuck.  2013.  Analysis of sign damage and failure: Utah case study. Transportation Research Record: Journal of the Transportation Research Board. :83–89.
Bogdan, Paul, Pajic, Miroslav, Pande, Partha Pratim, Raghunathan, Vijay.  2016.  Making the Internet-of-things a Reality: From Smart Models, Sensing and Actuation to Energy-efficient Architectures. Proceedings of the Eleventh IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and System Synthesis. :25:1–25:10.
Boddhu, Sanjay K., Botha, Hermanus V., Perseghetti, Ben M., Gallagher, John C..  2014.  Improved Control System for Analyzing and Validating Motion Controllers for Flapping Wing Vehicles. Robot Intelligence Technology and Applications 2: Results from the 2nd International Conference on Robot Intelligence Technology and Applications. :557–567.

In previous work, the viability of split-cycle constant-period frequency modulation for controlling two degrees of freedom of flapping wing micro air vehicle has been demonstrated. Though the proposed wing control system was made compact and self-sufficient to be deployed on the vehicle, it was not built for on-the-fly configurability of all the split-cycle control's parameters. Further the system had limited external communication capabilities that rendered it inappropriate for its integration into a higher level research framework to analyze and validate motion controllers in flapping vehicles. In this paper, an improved control system has been proposed that could addresses the on-the-fly configurability issue and provide an improved external communication capabilities, hence the wing control system could be seamlessly integrated in a research framework for analyzing and validating motion controllers for flapping wing vehicles.

Biron, Zoleikha Abdollahi, Dey, Satadru, Pisu, Pierluigi.  2016.  Sensor Fault Diagnosis of Connected Vehicles under imperfect Communication Network. ASME 2016 Dynamic Systems and Control Conference. :V001T16A003–V001T16A003.
Biron, Zoleikha Abdollahi, Pisu, Pierluigi, HomChaudhuri, Baisravan.  2015.  Observer Design Based Cyber Security for Cyber Physical Systems. Proceedings of the 10th Annual Cyber and Information Security Research Conference. :6.