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In order to effectively restrain the impact of network delays for wireless networked control systems (WNCS), aiming to time-variant, random and uncertain network delays and controlled plant might be time-variant or nonlinear, as well as Smith predictor models might be imprecise, we propose a novel approach that modified Smith predictor combined with fuzzy immune self-regulating PID control for the...
Radial basis function neural network (RBFNN) is powerful computational tools that have been used extensively in the areas of pattern recognition, systems modeling and identification. Aiming to wireless networked control systems (WNCS) with time-variant, random and uncertain network delay, controlled plant model might be time-variant or nonlinear, a new approach is proposed that modified Smith predictor...
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