Robust Feedback Linearization using Extended High-Gain Observers
We consider a partially feedback linearizable system with stable zero dynamics. The system is uncertain and only the output is measured. Consequently, exact feedback linearization is not applicable. We propose to design an extended high-gain observer to recover unmeasured derivatives of the output a...
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Published in | Proceedings of the 45th IEEE Conference on Decision and Control pp. 983 - 988 |
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Main Authors | , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.01.2006
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Series | Proceedings / IEEE Conference on Decision and ControlIEEE Control Systems Society |
Subjects | |
Online Access | Get full text |
ISBN | 9781424401710 1424401712 |
ISSN | 0191-2216 |
DOI | 10.1109/CDC.2006.377053 |
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Abstract | We consider a partially feedback linearizable system with stable zero dynamics. The system is uncertain and only the output is measured. Consequently, exact feedback linearization is not applicable. We propose to design an extended high-gain observer to recover unmeasured derivatives of the output and an extra one, which contains information about the uncertainty. The observer can be stabilized via feedback linearization followed by a linear control design, such as pole placement or LQR. After a short peaking period, a partial state vector, which includes the output and its derivatives, will be in a small neighborhood of the state of the observer; therefore, the performance achievable under exact feedback linearization will be recovered |
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AbstractList | We consider a partially feedback linearizable system with stable zero dynamics. The system is uncertain and only the output is measured. Consequently, exact feedback linearization is not applicable. We propose to design an extended high-gain observer to recover unmeasured derivatives of the output and an extra one, which contains information about the uncertainty. The observer can be stabilized via feedback linearization followed by a linear control design, such as pole placement or LQR. After a short peaking period, a partial state vector, which includes the output and its derivatives, will be in a small neighborhood of the state of the observer; therefore, the performance achievable under exact feedback linearization will be recovered We consider a partially feedback linearizable system with stable zero dynamics. The system is uncertain and only the output is measured. Consequently, exact feedback linearization is not applicable. We propose to design an extended high-gain observer to recover unmeasured derivatives of the output and an extra one, which contains information about the uncertainty. The observer can be stabilized via feedback linearization followed by a linear control design, such as pole placement or LQR. After a short peaking period, a partial state vector, which includes the output and its derivatives, will be in a small neighborhood of the state of the observer; therefore, the performance achievable under exact feedback linearization will be recovered. |
Author | Khalil, H.K. Freidovich, L.B. |
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Snippet | We consider a partially feedback linearizable system with stable zero dynamics. The system is uncertain and only the output is measured. Consequently, exact... |
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StartPage | 983 |
SubjectTerms | Adaptive control Control systems Output feedback Programmable control Robust control Robustness State feedback Uncertainty USA Councils Vectors |
Title | Robust Feedback Linearization using Extended High-Gain Observers |
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