Nonlinear Observer Design for Discrete MIMO Systems with Unknown Time Delay

Jing Na, Guido Herrmann, Xuemei Ren, Phil Barber

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


    This paper proposes an adaptive observer for discrete-time MIMO systems with unknown nonlinear dynamics and time-delay. The case that the system output equation has time-delay and nonlinearities is also studied. By using a high-order neural network (HONN), the exact system model, Lipschitz or norm-boundedness assumptions of unknown nonlinearities are not required. Other constraints used in neural-based observer design, i.e., strictly positive real (SPR) or matching conditions, are also removed. Applicability of the presented scheme is verified by simulation.
    Original languageEnglish
    Title of host publicationProceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference
    Number of pages6
    ISBN (Print)9781424438716
    Publication statusPublished - 2009


    • MIMO
    • Delay effects
    • Delay estimation
    • Neural networks
    • Uncertainty
    • Observers
    • Nonlinear dynamical systems
    • Nonlinear equations
    • Robustness
    • State estimation


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