AI Article Synopsis

  • The paper addresses adaptive tracking control for nonlinear systems, focusing on known and unknown virtual control coefficients to improve performance.
  • It introduces a new real control law through an auxiliary system to handle unknown items effectively.
  • The proposed controller shows practical effectiveness when applied to an uncertain TCP/AQM network, ensuring all signals in the closed-loop system remain bounded, demonstrated by simulation results.

Article Abstract

This paper is concerned with the adaptive tracking control problem for nonlinear systems with virtual control coefficients including known and unknown items. The known items are employed for controller design directly, such that more information is utilized to achieve better performance. To deal with the unknown items, a novel real control law is firstly constructed by introducing an auxiliary system. The proposed controller is designed and applied to an uncertain TCP/AQM network system, which guarantees the practical boundedness of all the signals in the closed-loop system. Finally, the effectiveness and practicability of the developed control strategy are validated by simulation results.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10480220PMC
http://dx.doi.org/10.1038/s41598-023-41799-7DOI Listing

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