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 propos...

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Bibliographic Details
Published in:International journal of system assurance engineering and management 2023-02, Vol.14 (1), p.110-119
Main Authors: Zhang, Zefeng, Chen, Kan
Format: Article
Language:English
Subjects:
Algorithms
Control systems
Downlinking
Engineering
Engineering Economics
Errors
Interference
Logistics
Marketing
Network control
Nonlinear control
Optimization
Optimization algorithms
Organization
Original Article
Quality Control
Reliability
Safety and Risk
Uplinking
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Summary: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.
ISSN:0975-6809
0976-4348
DOI:10.1007/s13198-021-01201-z