International Journal of Control, Automation and Systems 2016; 14(1): 90-98
Published online February 11, 2016
https://doi.org/10.1007/s12555-014-0515-4
© The International Journal of Control, Automation, and Systems
In this paper, we present a new adaptive backstepping control design method to solve the overparametrization problem in parameter estimation. Unlike the existing schemes, the concept of tuning functions is not introduced. However, the number of parameter estimates is reduced to be minimal, which is exactly the same as that of unknown parameters. Subsequently, it is shown that the proposed control schemes are equivalent to the tuning functions design. Two class of common nonlinear systems, that is, parametric strict-feedback system and parametric output-feedback system are employed to illustrate our design procedure."
Keywords Adaptive control, nonlinear systems, tuning functions.
International Journal of Control, Automation and Systems 2016; 14(1): 90-98
Published online February 1, 2016 https://doi.org/10.1007/s12555-014-0515-4
Copyright © The International Journal of Control, Automation, and Systems.
Maoli Wang, Zhengqiang Zhang*, and Yanmei Liu
Qufu Normal University
In this paper, we present a new adaptive backstepping control design method to solve the overparametrization problem in parameter estimation. Unlike the existing schemes, the concept of tuning functions is not introduced. However, the number of parameter estimates is reduced to be minimal, which is exactly the same as that of unknown parameters. Subsequently, it is shown that the proposed control schemes are equivalent to the tuning functions design. Two class of common nonlinear systems, that is, parametric strict-feedback system and parametric output-feedback system are employed to illustrate our design procedure."
Keywords: Adaptive control, nonlinear systems, tuning functions.
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