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Nonlinear Networked Control Systems with Random Nature using Neural Approach and Dynamic Bayesian Networks  

Cho, Hyun-Cheol (Dept. of Electrical Engineering, Dong-A University)
Lee, Kwon-Soon (Dept. of Electrical Engineering, Dong-A University)
Publication Information
International Journal of Control, Automation, and Systems / v.6, no.3, 2008 , pp. 444-452 More about this Journal
Abstract
We propose an intelligent predictive control approach for a nonlinear networked control system (NCS) with time-varying delay and random observation. The control is given by the sum of a nominal control and a corrective control. The nominal control is determined analytically using a linearized system model with fixed time delay. The corrective control is generated online by a neural network optimizer. A Markov chain (MC) dynamic Bayesian network (DBN) predicts the dynamics of the stochastic system online to allow predictive control design. We apply our proposed method to a satellite attitude control system and evaluate its control performance through computer simulation.
Keywords
Dynamic Bayesian network; NCS; neural network; random time-delay;
Citations & Related Records

Times Cited By Web Of Science : 3  (Related Records In Web of Science)
Times Cited By SCOPUS : 4
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