Sensor Failure Detection, Identification, and Accommodation Using Fully Connected Cascade Neural Network
Journal Article
Hussain, S., Mokhtar, M., & Howe, J. M. (2015)
Sensor Failure Detection, Identification, and Accommodation Using Fully Connected Cascade Neural Network. IEEE Transactions on Industrial Electronics, 62(3), 1683-1692. https://doi.org/10.1109/tie.2014.2361600
Modern control systems rely heavily on their sensors for reliable operation. Failure of a sensor could destabilize the system, which could have serious consequences to the sys...
Multi resonant platform based on modified metallic nanoparticles for biological tissue characterization
Conference Proceeding
Iovine, R., La Spada, L., Tarparelli, R., & Vegni, L. (2013)
Multi resonant platform based on modified metallic nanoparticles for biological tissue characterization. In Proceedings Volume 8789, Modeling Aspects in Optical Metrology IVdoi:10.1117/12.2020522
In this contribution optical properties of new metallic nanoparticles for biomedical applications are investigated. These particles consist of a pair of opposing gold prisms w...
Electromagnetic modeling of metamaterial-based sensors
Conference Proceeding
Spada, L. L. (2015)
Electromagnetic modeling of metamaterial-based sensors. doi:10.1109/imws-bio.2014.7032448
In this paper metamaterial-based sensors electromagnetic modeling is presented. In particular, the interaction between the electromagnetic waves and such structures is analyti...
Nanoplasmonic sensor for chemical measurements
Conference Proceeding
Iovine, R., La Spada, L., & Vegni, L. (2013)
Nanoplasmonic sensor for chemical measurements. In Proceedings Volume 8774, Optical Sensors 2013doi:10.1117/12.2016836
In this paper plasmonic nanoparticles arranged in an array configuration for the detection of glycerol concentration in aqueous solution, are presented. Glycerol concentration...
Optical Properties of Modified Nanorod Particles for Biomedical Sensing
Journal Article
Iovine, R., Spada, L. L., & Vegni, L. (2014)
Optical Properties of Modified Nanorod Particles for Biomedical Sensing. IEEE Transactions on Magnetics, 50(2), 169-172. doi:10.1109/tmag.2013.2284552
In this paper, an analytical and numerical investigation for modified gold nanorod particles, operating in the visible and in the infrared regime is proposed. The modified par...
Surface wave cloaking using transformation optics
Conference Proceeding
La Spada, L., & Hao, Y. (2015)
Surface wave cloaking using transformation optics. In 2015 1st URSI Atlantic Radio Science Conference (URSI AT-RASC)doi:10.1109/ursi-at-rasc.2015.7302892
Recently, there has been an increasing interest in the study of manipulating surface waves from microwave to optical frequencies [1, 2], especially for the design of conformal...
Learning-based Robust Bipartite Consensus Control for a Class of Multiagent Systems
Journal Article
Zhao, H., Shan, J., Peng, L., & Yu, H. (in press)
Learning-based Robust Bipartite Consensus Control for a Class of Multiagent Systems. IEEE Transactions on Industrial Electronics, https://doi.org/10.1109/tie.2022.3174275
This paper studies the robust bipartite consensus problems for heterogeneous nonlinear nonaffine discrete-time multi-agent systems (MASs) with fixed and switching topologies a...
Event-Triggered Distributed Data-Driven Iterative Learning Bipartite Formation Control for Unknown Nonlinear Multiagent Systems
Journal Article
Zhao, H., Yu, H., & Peng, L. (2024)
Event-Triggered Distributed Data-Driven Iterative Learning Bipartite Formation Control for Unknown Nonlinear Multiagent Systems. IEEE Transactions on Neural Networks and Learning Systems, 35(1), 417-427. https://doi.org/10.1109/tnnls.2022.3174885
In this study, we investigate the event-triggering time-varying trajectory bipartite formation tracking problem for a class of unknown nonaffine nonlinear discrete-time multia...
Decentralized dynamic understanding of hidden relations in complex networks
Journal Article
Mocanu, D. C., Exarchakos, G., & Liotta, A. (2018)
Decentralized dynamic understanding of hidden relations in complex networks. Scientific Reports, 8(1), https://doi.org/10.1038/s41598-018-19356-4
Almost all the natural or human made systems can be understood and controlled using complex networks. This is a difficult problem due to the very large number of elements in s...
Towards crowdsourcing spatial manufacturing tasks from rural India
Conference Proceeding
Vasantha, G., Corney, J., Jagadeeshan, A., Lynn, A., Acur Bakir, N., Smith, M., & Agrawal, A. (2014)
Towards crowdsourcing spatial manufacturing tasks from rural India. In F. Rehman, N. Woodfine, & R. Marasini (Eds.), Advance in Manufacturing Technology XXVIII: Proceedings of the 12th International Conference on Manufacturing Research
Many tasks involving production software that involve spatial reasoning can only produce "good" rather than optimum solutions. It is frequently possible for humans to improve ...