Adaptive Output Feedback Stabilization of Nonlinear Systems
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Authors
Diao, Lili
Date
2009-12-23T16:02:04Z
Type
thesis
Language
eng
Keyword
Adaptive , Non-minimum Phase
Alternative Title
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.
Description
Thesis (Ph.D, Chemical Engineering) -- Queen's University, 2009-12-22 15:47:05.884
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