Closed-loop model validation for an inverted pendulum experiment via a linear matrix inequality approach

Recent sampled-data time domain model validation techniques are applied to the inverted-pendulum experiment. An LQG controller is first designed to stabilize the system. Based on the closed-loop finite length sampled datum, a robust control model is derived and model validation tests are run to chec...

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Published inProceedings of the 36th IEEE Conference on Decision and Control Vol. 3; pp. 2565 - 2566 vol.3
Main Authors Li Chen, Smith, R.
Format Conference Proceeding
LanguageEnglish
Published IEEE 1997
Subjects
Context modeling
Control systems
Linear matrix inequalities
Position measurement
Robust control
System testing
Transfer functions
Uncertainty
Vectors
Voltage
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ISBN0780341872
9780780341876
ISSN0191-2216
DOI10.1109/CDC.1997.657741

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Abstract Recent sampled-data time domain model validation techniques are applied to the inverted-pendulum experiment. An LQG controller is first designed to stabilize the system. Based on the closed-loop finite length sampled datum, a robust control model is derived and model validation tests are run to check the model validity using the linear matrix inequality algorithm.
AbstractList Recent sampled-data time domain model validation techniques are applied to the inverted-pendulum experiment. An LQG controller is first designed to stabilize the system. Based on the closed-loop finite length sampled datum, a robust control model is derived and model validation tests are run to check the model validity using the linear matrix inequality algorithm.
Author Li Chen
Smith, R.
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Snippet Recent sampled-data time domain model validation techniques are applied to the inverted-pendulum experiment. An LQG controller is first designed to stabilize...
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StartPage 2565
SubjectTerms Context modeling
Control systems
Linear matrix inequalities
Position measurement
Robust control
System testing
Transfer functions
Uncertainty
Vectors
Voltage
Title Closed-loop model validation for an inverted pendulum experiment via a linear matrix inequality approach
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