Internal Boundary Control of Lane-Free Automated Vehicle Traffic using a Model-Free Adaptive Controller

Malekzadeh, Milad; Papamichail, Ioannis; Papageorgiou, Markos

doi:10.1016/j.ifacol.2021.06.044

Cited by 1 publication

(1 citation statement)

References 17 publications

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“…It only relies on input and output measured data [1]. The application of MFAC has been involved in many fields, such as robots, generation systems, vehicle traffic and surface ships [2][3][4][5]. MFAC is designed via the dynamic linearization model, which has three forms: compact format dynamic linearization (CFDL), partial format dynamic linearization (PFDL) and full format dynamic linearization (FFDL).…”

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

Internal Boundary Control of Lane-Free Automated Vehicle Traffic using a Model-Free Adaptive Controller

Cited by 1 publication

References 17 publications

MFAC parameter optimization based on improved sparrow search algorithm

MFAC parameter optimization based on improved sparrow search algorithm

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