Y. Q. Wang, F. Nunez, F. J. Doyle III. Statistical analysis of the pulse-coupled synchronization strategy for wireless sensor networks. IEEE Transactions on Signal Processing, In press. [DOI]
Y. Q. Wang, Y. Hori, S. Hara, F. J. Doyle III. Intercellular delay regulates the collective period of repressively coupled gene regulatory oscillator networks. IEEE Transactions on Automatic Control, In press. [DOI]
Y. Q. Wang, F. Nunez, F. J. Doyle III, “Increasing sync rate of pulse-coupled oscillators via phase response function design: theory and application to wireless networks,” IEEE Transactions on Control Systems Technology. (in press) [DOI]
Y. Q. Wang, F. J. Doyle III. “The influence of global and local cues on the rate of synchronization in the presence of time delays,” Automatica, (in press) [DOI]
Y. Q. Wang, F. J. Doyle III. Exponential synchronization rate of Kuramoto oscillators in the presence of a pacemaker. IEEE Transactions on Automatic Control, 58(4)9889-994, 2013 [DOI]
Assistant Project Manager Research 1. Systems modeling and analysis of circadian rhythm networks, reverse engineering of synchrony as an algorithmic strategy for wireless communication network control. 2. Fault detection, control and estimation for networked control systems (control systems whose control loops are closed via a serial communication channel) subject to random network-induced delay, packet dropout, […]
Y. Q. Wang, F. J. Doyle III. “Optimal phase response functions for fast pulse-coupled synchronization in wireless sensor networks,” IEEE Transactions on Signal Processing. vol. 60, no. 10, 2012, pp. 5583–5588, October 2012. [DOI]
Y. Q. Wang, F. Nunez, F. J. Doyle III. “Energy-efficient pulse-coupled synchronization strategy design for wireless sensor networks through reduced idle listening,” IEEE Transactions on Signal Processing, vol. 60, no. 10, 2012, pp. 5293–5306, October 2012. [DOI]
Y.Q. Wang, F.J. Doyle III “On influences of global and local cues on the rate of synchronization of oscillator networks,” Automatica, vol. 47, no. 6, June 2011. [DOI]
Developing control systems for medical applications poses significant challenges, some of which are unique to this field. Physiological systems involve a multitude of interacting subsystems and networks, with multiple feedforward and feedback loops. The dynamics vary both between different individuals, and within the same individual over time. Measurement and estimation of both inter- and intra-patient […]
The success of the human genome project has ushered in a new era that emphasizes a systemic or integrated approach to ascertain the cellular behavior arising from complex cellular networks. Scientists are now embarking on a quest to elucidate the organization and control of cellular networks that underlie the phenotypic behavior of a cell; these […]
Sansum Diabetes Research Institute
Our experimental collaborators, a research center devoted to the prevention, treatment and cure of diabetes http://www.sansum.org/
Developing control systems for medical applications poses significant challenges, some of which are unique to this field. Physiological systems involve a multitude of interacting subsystems and networks, with multiple feedforward and feedback loops. The dynamics vary both between different individuals, and within the same individual over time. Measurement and estimation of both inter- and intra-patient […]
The success of the human genome project has ushered in a new era that emphasizes a systemic or integrated approach to ascertain the cellular behavior arising from complex cellular networks. Scientists are now embarking on a quest to elucidate the organization and control of cellular networks that underlie the phenotypic behavior of a cell; these […]
