Stable discrete-time adaptive control in the presence of unmodeled dynamics

Results obtained previously on the stability of adaptive predictive control systems are generalized by reducing the requirements for stability to a single condition that is applicable to linear discrete processes with disturbances and unmodeled plant dynamics. The proposed design approach uses a nor...

Full description

Saved in:
Bibliographic Details
Published inIEEE transactions on automatic control Vol. 33; no. 4; pp. 410 - 414
Main Authors Cluett, W.R., Martin-Sanchez, J.M., Shah, S.L., Fisher, D.G.
Format Journal Article
LanguageEnglish
Published New York, NY IEEE 01.04.1988
Institute of Electrical and Electronics Engineers
Subjects
Adaptative systems
Adaptive control
Adaptive systems
Applied sciences
Computer science; control theory; systems
Control theory. Systems
Error correction
Exact sciences and technology
Parameter estimation
Predictive control
Predictive models
Programmable control
Robust control
Stability analysis
Stability criteria
Parameter estimation
Models
Stability
System analysis
Adaptive control
Prediction
Online AccessGet full text

Cover

More Information
Summary:Results obtained previously on the stability of adaptive predictive control systems are generalized by reducing the requirements for stability to a single condition that is applicable to linear discrete processes with disturbances and unmodeled plant dynamics. The proposed design approach uses a normalized parameter estimation scheme, which permits a formal proof that the modeling errors can be treated as a bounded disturbance, and a parameter adaptation stopping criterion to guarantee global stability.< >
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0018-9286
1558-2523
DOI:10.1109/9.192204