In order to solve time-delay prediction problem of networked control system

a time-delay prediction method based on phase space reconstruction and least squares support vector machine is proposed in this paper.Firstly

0-1 test algorithm for chaos is used to determine the chaotic characteristics of the time-delay sequence

and the phase space reconstruction technique is introduced to improve the prediction accuracy.The Hurst exponent of the real time-delay sequence is analyzed

and least squares support vector machine is selected as the prediction model.Then

C-C method is used to determine the parameters of phase space reconstruction.The partial predictability of time-delay is determined by recurrence plot.The parameters of least squares support vector machine are off-line optimized by genetic algorithm.Finally

the time-delay sequence is predicted by the optimized least squares support vector machine combined with the phase space reconstruction.Compared with other prediction methods

the simulation results show that the proposed method has higher prediction accuracy and smaller prediction error

and does not reduce the real-time performance of the algorithm.