—As the operating frequency of digital systems increases and voltage swing decreases, it becomes very important to characterize and analyze power distribution networks (PDNs) acc...
Wendemagegnehu T. Beyene, Chuck Yuan, Joong-Ho Kim...
Abstract-- New methods for model validation of continuoustime nonlinear systems with uncertain parameters are presented in this paper. The methods employ functions of state-paramet...
A hybrid learning neuro-fuzzy system with asymmetric fuzzy sets (HLNFS-A) is proposed in this paper. The learning methods of random optimization (RO) and least square estimation (...
Abstract—In high density perpendicular magnetic recording channels, nonlinear transition shift (NLTS) is one of the distortions that can degrade the system performance. Write pre...
Zheng Wu, Paul H. Siegel, Jack K. Wolf, H. Neal Be...
Background: We consider the problem of parameter estimation (model calibration) in nonlinear dynamic models of biological systems. Due to the frequent ill-conditioning and multi-m...
Maria Rodriguez-Fernandez, Jose A. Egea, Julio R. ...