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• W4280491837 startingPage "4727" @default.
• W4280491837 abstract "This paper investigates the multiple model adaptive control problem of affine systems with unknown parameters. Firstly, an adaptive controller with resettable parameters and an adaptive law with projection function are designed to ensure the asymptotic tracking for the reference system and the boundedness of parameters. Secondly, a transformation of system is given to enable a finite-time parameter estimator to calculate the uncertain parameters in the system matrix and the affine item simultaneously. Then, a novel performance index to describe the error between the controlled plant and the identification model is given to orchestrate switchings among identification models aiming to choose the best one. Next, the sufficient condition of the asymptotic convergence for the system error is given. Finally, all designs are evaluated in a hardware-in-the-loop simulation platform of an aero-engine control system and compared with three other methods, the effectiveness and superiority are verified." @default.
• W4280491837 created "2022-05-22" @default.
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• W4280491837 date "2022-07-01" @default.
• W4280491837 modified "2023-10-16" @default.
• W4280491837 title "A method of multiple model adaptive control of affine systems and its application to aero-engines" @default.
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• W4280491837 doi "https://doi.org/10.1016/j.jfranklin.2022.05.001" @default.
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