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- W2188642160 abstract "This paper presents a new control approach for non- linear network-induced time delay systems by combining online reset control, neural networks, and dynamic Bayesian networks. We use feedback linearization to construct a nominal control for the system then use reset control and a neural network to com- pensate for errors due to the time delay. Finally, we obtain a sto- chastic model of the Networked Control System (NCS) using a Dy- namic Bayesian Network (DBN) and use it to design a predictive control. We apply our control methodology to a nonlinear inverted pendulum and evaluate its performance through numerical simu- lations. We also test our approach with real-time experiments on a dc motor-load NCS with wireless communication implemented using a Ubiquitous Sensor Network (USN). Both the simulation and experimental results demonstrate the efficacy of our control methodology." @default.
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- W2188642160 date "2011-01-01" @default.
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- W2188642160 title "Nonlinear Network-Induced Time Delay Systems" @default.
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