– The purpose of the proposed research methodology is to control the trajectory tracking of EDRM and also to cancel out the effect of no-smooth nonlinearities, which affect the system performance badly.

    Design/methodology/approach

    – Robust adaptive neural network (RANN)-based backstepping control design methodology is presented in this paper. The proposed design methodology improves the trajectory tracking and running mean error.

    Findings

    – The running mean error results show that the convergence of the proposed RANN-based backstepping technique is very fast as compare to the conventional PD control and due to this proposed control technique, the EDRM follows its desired trajectory perfectly.

    Practical implications

    – The EDRM trajectory tracking performance increases which leads to a better working position of EDRM.

    Originality/value

    – The originality of this research article is 93 per cent.


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    Titel :

    Adaptive neural network based backstepping control design for MIMO nonlinear systems with actuator nonlinearities


    Beteiligte:


    Erscheinungsdatum :

    04.01.2016


    Format / Umfang :

    14 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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