Model-Free Adaptive Security Tracking Control for Networked Control Systems

Su, Meng-Ying; Che, Wei‐Wei; Wang, Zhen-Ling

doi:10.1109/ddcls52934.2021.9455667

Cited by 1 publication

(1 citation statement)

References 12 publications

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“…Among them, CFDL-MFAC method [6] is the simplest and has been widely used to solve more complex problems of nonlinear systems. For a class of networked nonlinear discrete time systems with random network delay and packet loss, a data-driven networked control scheme is designed based on the CFDL-MFAC method in [7] and [8], respectively. In addition, the CFDL-MFAC method has also been applied to solve the problems of predictive control [9], sliding mode control [10], iterative learning control [11], formation control [12] and other problems of nonlinear systems.…”

Section: Introductionmentioning

confidence: 99%

MFAC parameter optimization based on improved sparrow search algorithm

Li²

2022

International Workshop on Automation, Control, and Communication Engineering (IWACCE 2022)

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Model-free adaptive control (MFAC) is based on data and does not depend on the mathematical model of the controlled object. It is simple in structure and easy to implement. At present, there are few methods to determine the parameters of MFAC controller, which brings considerable inconvenience to the research and application. Therefore, an improved sparrow search algorithm (ISSA) is proposed to optimize the parameters of MFAC. The ISSA improves its performance by introducing the piecewise chaotic map operator, and finally realizes the automatic optimization of MFAC. The results show that the ISSA has better searching speed and precision. After using optimized parameters for control, the overshoot is greatly reduced, and the oscillation phenomenon when the desired output changes or the external disturbance occurs is effectively overcome, which makes the system more robust.

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Section: Introductionmentioning

confidence: 99%

MFAC parameter optimization based on improved sparrow search algorithm

Li²

2022

International Workshop on Automation, Control, and Communication Engineering (IWACCE 2022)

View full text Add to dashboard Cite

show abstract

Model-Free Adaptive Security Tracking Control for Networked Control Systems

Cited by 1 publication

References 12 publications

MFAC parameter optimization based on improved sparrow search algorithm

MFAC parameter optimization based on improved sparrow search algorithm

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