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    Adaptive Output Feedback Stabilization of Nonlinear Systems

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    Diao_Lili_200912_PhD.pdf (1.221Mb)
    Date
    2009-12-23
    Author
    Diao, Lili
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    Abstract
    Output feedback control design techniques are required in practice due to the limited

    number of sensors/measurements available for feedback. This thesis focuses on output

    feedback controller design techniques for nonlinear systems subject to different system

    restrictions.

    The problem of controlling the heart dynamics in a real time manner is formulated

    as an adaptive learning output-tracking problem. For a class of nonlinear dynamic

    systems with unknown nonlinearities and non-affine control input , a Lyapunov-based

    technique is used to develop a control law. An adaptive learning algorithm is exploited

    that guarantees the stability of the closed-loop system and convergence of the output tracking error to an adjustable neighborhood of the origin. In addition, good

    approximation of the unknown nonlinearities is also achieved by incorporating a per-

    sistent exciting signal in the parameter update law. The effectiveness of the proposed

    method is demonstrated by an application to a cardiac conduction system modelled

    by two coupled driven oscillators.

    An output feedback design technique is developed to achieve semi-global practical

    stabilization for a class of non-minimum phase nonlinear systems, subject to param-

    eter uncertainties. This work provides a constructive controller design method for an

    auxiliary system, whose existence is crucial, but is only assumed in (Isidori, 2000).

    The control design technique is used to regulate the benchmark van de Vusse reactor.

    Simulation results demonstrate satisfactory controller performance.

    The output feedback control design for a class of non-minimum phase nonlinear

    systems with unknown nonlinearities is studied. The proposed approach is able to

    combine the two previous design methods and provide a stabilizing output feedback

    control law. The performance of the proposed method is demonstrated by simulation results.
    URI for this record
    http://hdl.handle.net/1974/5370
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    • Department of Chemical Engineering Graduate Theses
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