In this chapter, the design of adaptive-regulation control of mobile robots (MR) in the presence of uncertain MR dynamics with event-based feedback is provided. Two layer neural-networks (NN) are utilized to represent the uncertain dynamics of the MR which is subsequently employed to generate the control torque with event-sampled measurement update. By relaxing the perfect velocity tracking assumption, control torque is developed to minimize the velocity tracking errors, by explicitly taking into account the dynamics of the MR. The Lyapunov’s method is utilized to develop an event-sampling condition and to demonstrate the regulation error performance of the MR. At the end of the chapter, simulation results are given to verify our theoretical claims.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Adaptive Event-Triggered Regulation Control of Nonholonomic Mobile Robots


    Weitere Titelangaben:

    Studies in Systems, Decision and Control


    Beteiligte:
    Ghommam, Jawhar (Herausgeber:in) / Derbel, Nabil (Herausgeber:in) / Zhu, Quanmin (Herausgeber:in) / Güzey, Haci Mehmet (Autor:in)


    Erscheinungsdatum :

    2020-02-12


    Format / Umfang :

    12 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





    Self-triggered formation control of nonholonomic robots

    Santos Pérez, Carlos / Espinosa Zapata, Felipe / Martínez Rey, Miguel et al. | BASE | 2019

    Freier Zugriff


    Formation control of multiple nonholonomic mobile robots

    Ikeda, Takashi | Online Contents | 2006