Immersion and Invariance Based Adaptive Control of Three Dimensional Autonomous Vehicle Maneuvers

2010 ◽  
Vol 43 (10) ◽  
pp. 89-93
Author(s):  
Barιs Fidan ◽  
İsmail Bayezit
2003 ◽  
Vol 49 (1) ◽  
pp. 37-47 ◽  
Author(s):  
Romeo Ortega ◽  
Liu Hsu ◽  
Alessandro Astolfi

2021 ◽  
Author(s):  
Sven Gastauer ◽  
Jeffrey S. Ellen ◽  
Mark D. Ohman

<p><em>Zooglider</em> is an autonomous buoyancy-driven ocean glider designed and built by the Instrument Development Group at Scripps. <em>Zooglider</em> includes a low power camera with a telecentric lens for shadowgraph imaging and two custom active acoustics echosounders (operated at 200/1000 kHz).  A passive acoustic hydrophone records vocalizations from marine mammals, fishes, and ambient noise.  The imaging system (<em>Zoocam</em>) quantifies zooplankton and ‘marine snow’ as they flow through a sampling tunnel within a well-defined sampling volume. Other sensors include a pumped Conductivity-Temperature-Depth probe and Chl-<em>a</em> fluorometer.  An acoustic altimeter permits autonomous navigation across regions of abrupt seafloor topography, including submarine canyons and seamounts.  Vertical sampling resolution is typically 5 cm, maximum operating depth is ~500 m, and mission duration up to 50 days.  Adaptive sampling is enabled by telemetry of measurements at each surfacing.  Our post-deployment processing methodology classifies the optical images using advanced Deep Learning methods that utilize context metadata.  <em>Zooglider</em> permits in situ measurements of mesozooplankton and marine snow - and their natural, three dimensional orientation - in relation to other biotic and physical properties of the ocean water column.  <em>Zooglider</em> resolves micro-scale patches, which are important for predator-prey interactions and biogeochemical cycling. </p><p> </p>


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