This monograph investigates a practical way to achieve robust motion control and state estimation (Kalman filtering) of mechanical systems, which is a promising approach in terms of the perturbation compensator. The book presents novel approaches for design and analysis of perturbation observers as well as an extension to robust motion control and robust state estimation. The book is written in a self-contained manner including experimental results in each chapter clearly validating the developed theories.
This monograph investigates a practical way to achieve robust motion control and state estimation (Kalman filtering) of mechanical systems, which is a promising approach in terms of the perturbation compensator. The book presents novel approaches for design and analysis of perturbation observers as well as an extension to robust motion control and robust state estimation. The book is written in a self-contained manner including experimental results in each chapter clearly validating the developed theories.
Produktdetails
Produktdetails
Lecture Notes in Control and Information Sciences 307
Artikelnr. des Verlages: 10997666, 978-3-540-22077-0
2004
Seitenzahl: 164
Erscheinungstermin: 7. Juli 2004
Englisch
Abmessung: 235mm x 155mm x 10mm
Gewicht: 252g
ISBN-13: 9783540220770
ISBN-10: 3540220771
Artikelnr.: 12948452
Autorenporträt
S.J. Kwon, Korea Institute of Industrial Technology, Hangyang University, Ansan, Korea / W.K. Chung, POSTECH, Pohang, Korea
Inhaltsangabe
Introduction.- Robust Tracking Control with Hierarchical Perturbation Compensation.- Robust Performance of the Multiloop Perturbation Compensator.- Discrete-Time Design and Analysis of Perturbation Observer.- Combined Observer Design for Robust State Estimation and Kalman Filtering.- Control of Coarse/Fine Dual-Stage Positioning System.- Concluding Remarks.
Introduction.- Robust Tracking Control with Hierarchical Perturbation Compensation.- Robust Performance of the Multiloop Perturbation Compensator.- Discrete-Time Design and Analysis of Perturbation Observer.- Combined Observer Design for Robust State Estimation and Kalman Filtering.- Control of Coarse/Fine Dual-Stage Positioning System.- Concluding Remarks.
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