02917nam a22005175i 4500001001800000003000900018005001700027007001500044008004100059020003700100024003500137050001600172050001400188072001600202072002300218072001500241245015200256250001800408264006900426300006700495336002600562337002600588338003600614347002400650490003900674505024200713520081200955650003901767650003201806650002901838650002501867650006201892650002901954650002501983700008602008710003402094773002602128776003602154776003602190776003602226830004602262856004602308912001402354912001402368999001702382978-3-031-39303-7DE-He21320251030110915.0cr nn 008mamaa240105s2024    sz |    s    |||| 0|eng d  a97830313930379978-3-031-39303-77 a10.1007/978-3-031-39303-72doi 4aTA1001-1280 4aHE331-380 7aTNH2bicssc 7aTEC0091402bisacsh 7aTNH2thema10aProceedings of the IUTAM Symposium on Optimal Guidance and Control for Autonomous Systems 2023h[electronic resource] /cedited by Dilmurat Azimov.  a1st ed. 2024. 1aCham :bSpringer Nature Switzerland :bImprint: Springer,c2024.  aVII, 413 p. 170 illus., 119 illus. in color.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda1 aIUTAM Bookseries,x1875-3493 ;v400 aGuidance, Navigation and Control, and Sensor Technologies -- Robotic Technologies -- Stochastic Systems and Game Theory -- Optimal Control and Applications -- Modeling and Data Analytics -- Nonlinear Control Systems and Machine Learning.  aThis book showcases a collection of papers that present cutting-edge studies, methods, experiments, and applications in various interdisciplinary fields. These fields encompass optimal control, guidance, navigation, game theory, stability, nonlinear dynamics, robotics, sensor fusion, machine learning, and autonomy. The chapters reveal novel studies and methods, providing fresh insights into the field of optimal guidance and control for autonomous systems. The book also covers a wide range of relevant applications, showcasing how optimal guidance and control techniques can be effectively applied in various domains, including mechanical and aerospace engineering. From robotics to sensor fusion and machine learning, the papers explore the practical implications of these techniques and methodologies. 0aTransportation engineering.965686 0aTraffic engineering.965687 0aMachine learning.955059 0aContinuum mechanics.14aTransportation Technology and Traffic Engineering.96569124aMachine Learning.95505924aContinuum Mechanics.1 aAzimov, Dilmurat.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt9692782 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978303139302008iPrinted edition:z978303139304408iPrinted edition:z9783031393051 0aIUTAM Bookseries,x1875-3493 ;v4096747640uhttps://doi.org/10.1007/978-3-031-39303-7  aZDB-2-ENG  aZDB-2-SXE  c57105d57105