Inverse-Dynamics Based State and Disturbance Observers for Linear Time-Invariant Systems

Chia-Shang Liu; Huei Peng

doi:10.1115/1.1485748

Journal of Dynamic Systems, Measurement, and Control | Volume 124 | Issue 3 | TECHNICAL PAPERS

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TECHNICAL PAPERS

Inverse-Dynamics Based State and Disturbance Observers for Linear Time-Invariant Systems

Chia-Shang Liu and Huei Peng, Associate Professor

[+] Author and Article Information

Chia-Shang Liu, Huei Peng

Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI 48109

J. Dyn. Sys., Meas., Control 124(3), 375-381 (Jul 23, 2002) (7 pages) doi:10.1115/1.1485748 History: Received April 01, 1998; Online July 23, 2002

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Disturbance and lateral speed estimation results (inverse-dynamics approach, combined uncertainties)

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Liu C, Peng H. Inverse-Dynamics Based State and Disturbance Observers for Linear Time-Invariant Systems. ASME. J. Dyn. Sys., Meas., Control. 2002;124(3):375-381. doi:10.1115/1.1485748.

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Inverse-Dynamics Based State and Disturbance Observers for Linear Time-Invariant Systems

References

Figures

Diagram of a standard H_∞ filtering problem

The bicycle vehicle handling model

Disturbance and lateral speed estimation results (inverse-dynamics approach)

Disturbance and lateral speed estimation results (H_∞ approach)

Disturbance and lateral speed estimation results (inverse-dynamics approach, combined uncertainties)

Tables

Errata

Discussions

Related Content

Journals

Conference Proceedings

eBooks

Inverse-Dynamics Based State and Disturbance Observers for Linear Time-Invariant Systems

References

Figures

Diagram of a standard H∞ filtering problem

The bicycle vehicle handling model

Disturbance and lateral speed estimation results (inverse-dynamics approach)

Disturbance and lateral speed estimation results (H∞ approach)

Disturbance and lateral speed estimation results (inverse-dynamics approach, combined uncertainties)

Tables

Errata

Discussions

Related Content

Journals

Conference Proceedings

eBooks

Diagram of a standard H_∞ filtering problem

Disturbance and lateral speed estimation results (H_∞ approach)