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Nonlinear network disturbance suppression based on chaos optimization algorithm


Because the existing methods do not consider the random data packet loss problem, there is a large test error, and the problem of non–static disturbance suppression cannot be achieved. For this reason, a nonlinear network disturbance suppression method based on chaos optimization algorithm is proposed. Given the basic structure of the nonlinear network control system, it is concluded that the nonlinear network is mainly affected by uplink interference and downlink interference. A class of nonlinear network control systems with random packet loss data is studied. The protection entropy is obtained to monitor the packet loss data. Finally, a chaos optimization algorithm is used to suppress nonlinear network disturbances. The experimental results show that the proposed method can effectively suppress the disturbance under the uplink interference and downlink interference, and the test error is relatively small, the mean square error is 0.29, the maximum positive error is 0.521, and the maximum negative error is 0.21, which shows that the method is effective and can eliminate the influence of interference factors on the stability of nonlinear network.

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Correspondence to Zefeng Zhang.

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Zhang, Z., Chen, K. Nonlinear network disturbance suppression based on chaos optimization algorithm. Int J Syst Assur Eng Manag (2021).

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  • Chaos optimization algorithm
  • Nonlinear network
  • Disturbance suppression
  • Packet loss data
  • Protection entropy