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ICCV
2009
IEEE
14 years 10 months ago
Time Series Prediction by Chaotic Modeling of Nonlinear Dynamical Systems
We use concepts from chaos theory in order to model nonlinear dynamical systems that exhibit deterministic behavior. Observed time series from such a system can be embedded into...
Arslan Basharat, Mubarak Shah
AUTOMATICA
2006
90views more  AUTOMATICA 2006»
13 years 5 months ago
An ISS-modular approach for adaptive neural control of pure-feedback systems
Controlling non-affine non-linear systems is a challenging problem in control theory. In this paper, we consider adaptive neural control of a completely non-affine pure-feedback s...
Cong Wang, David J. Hill, S. S. Ge, Guanrong Chen
INFOCOM
2002
IEEE
13 years 10 months ago
Nonlinear Instabilities in TCP-RED
Abstract—This work develops a discrete-time dynamical feedback system model for a simplified TCP network with RED control and provides a nonlinear analysis that can help in unde...
Eyad H. Abed, Priya Ranjan
WIOPT
2011
IEEE
12 years 9 months ago
Network utility maximization over partially observable Markovian channels
Abstract—This paper considers maximizing throughput utility in a multi-user network with partially observable Markov ON/OFF channels. Instantaneous channel states are never known...
Chih-Ping Li, Michael J. Neely
HYBRID
2001
Springer
13 years 10 months ago
Accurate Event Detection for Simulating Hybrid Systems
It has been observed that there are a variety of situations in which the most popular hybrid simulation methods can fail to properly detect the occurrence of discrete events. In th...
Joel M. Esposito, Vijay Kumar, George J. Pappas