An investigation focusing on methods of estimation
of robustness of nominally linear dynamic systems with
unstructured uncertainties was performed.
The algorithm proposed involves the consideration
of an associated system, selection, and subsequent
development, of Liapunov function candidate and integration
of their derivatives along the solution trajectory.
A nominally linear multi-dimensional dynamic
system is considered with unstructured, nonlinear, time-varying
and bounded perturbations. The examples illustrate
the success of the method: better estimates of the bounds,
than those which results from traditional approaches were
obtained.
Robustness of linear, time-invariant systems
subject to nonlinear, time-varying perturbations has been a
matter of considerable research interest recently. Design of
conventional state-feedback controllers requires knowledge of
the bounds for disturbances. The knowledge of disturbance
bounds is also important in adaptive control and control of
nonlinear & uncertain systems. Numerous applications can be
found in the fields of automation, aircraft control,
manipulator trajectory control, etc.
The technique for the determination of robust
stability bounds proposed in this paper can be utilized
effectively in computerized robust control system design. / Graduation date: 1992
| Identifer | oai:union.ndltd.org:ORGSU/oai:ir.library.oregonstate.edu:1957/36338 |
| Date | 05 March 1992 |
| Creators | Alam, Arshad |
| Contributors | Olas, Andrzej |
| Source Sets | Oregon State University |
| Language | en_US |
| Detected Language | English |
| Type | Thesis/Dissertation |
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