Controller Design for Unknown Multivariable Systems Using Monotone Modelling Errors
Owens, D.H. and Chotai, A.
(1981)
Controller Design for Unknown Multivariable Systems Using Monotone Modelling Errors.
Research Report.
ACSE Report 144
.
Department of Control Engineering, University of Sheffield, Mappin Street, Sheffield
Abstract
The problem of controller design for an unknown discrete or continuous multivariable system in the frequency domain based on open-loop step response data alone is considered. The approach is based upon the use of simple approximate plant models possessing the property that the resulting error in modelling the plant open-loop step response is both monotonic and sign definite as a function of time.
Metadata
Authors/Creators:
Owens, D.H.
Chotai, A.
Copyright, Publisher and Additional Information:
The Department of Automatic Control and Systems Engineering research reports offer a forum for the research output of the academic staff and research students of the Department at the University of Sheffield. Papers are reviewed for quality and presentation by a departmental editor. However, the contents and opinions expressed remain the responsibility of the authors. Some papers in the series may have been subsequently published elsewhere and you are advised to cite the later published version in these instances.
Keywords:
Process Control, Controller Design, Multivariable Control Systems, Stability, Stability Theory, Robustness, System Order Reduction, Approximation, Sampled-Data Systems, Digital Control Systems,Monotonicity Functional Analysis, Contraction Mappings
CORE (COnnecting REpositories)
CORE (COnnecting REpositories)