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Sensor-based motion control of autonomous underwater vehicles, part I: modeling and low-complexity state estimation

George C. Karras, Charalampos P. Bechlioulis, Panos Marantos, Shahab Heshmati-Alamdari, Kostas J. Kyriakopoulos

Year
2020
Citations
3

Abstract

The goal of this chapter is to provide the reader with the appropriate analytical methods, in order to derive a simple yet accurate vehicle model, design a state estimation algorithm that could be easily integrated into the embedded system framework of an underwater robotic vehicle and perform a fast online dynamic parameter identification.

Keywords

UnderwaterState (computer science)Control engineeringComputer scienceIdentification (biology)System identificationMotion controlEstimationSimple (philosophy)Control (management)

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