000 04790nam a22006375i 4500
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008 230509s2023 sz | s |||| 0|eng d
020 _a9783031275760
_9978-3-031-27576-0
024 7 _a10.1007/978-3-031-27576-0
_2doi
050 4 _aTJ212-225
050 4 _aTJ210.2-211.495
072 7 _aTJFM
_2bicssc
072 7 _aTEC007000
_2bisacsh
072 7 _aTJFM
_2thema
082 0 4 _a629.8
_223
100 1 _aXiao, Wei.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_979445
245 1 0 _aSafe Autonomy with Control Barrier Functions
_h[electronic resource] :
_bTheory and Applications /
_cby Wei Xiao, Christos G. Cassandras, Calin Belta.
250 _a1st ed. 2023.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2023.
300 _aXX, 212 p. 56 illus., 54 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSynthesis Lectures on Computer Science,
_x1932-1686
505 0 _aIntroduction to Autonomy and Safety -- Control Barrier Functions -- High Order Control Barrier Functions -- Feasibility Guarantees for CBFs -- Adaptive CBFs -- Safety Guarantees for Systems with Unknown Dynamics -- Applications to Traffic Networks -- Applications to Robotics -- Conclusions and Future Directions.
520 _aThis book presents the concept of Control Barrier Function (CBF), which captures the evolution of safety requirements during the execution of a system and can be used to enforce safety. Safety is formalized using an emerging state-of-the-art approach based on CBFs, and many illustrative examples from autonomous driving, traffic control, and robot control are provided. Safety is central to autonomous systems since they are intended to operate with minimal or no human supervision, and a single failure could result in catastrophic results. The authors discuss how safety can be guaranteed via both theoretical and application perspectives. This presented method is computationally efficient and can be easily implemented in real-time systems that require high-frequency reactive control. In addition, the CBF approach can easily deal with nonlinear models and complex constraints used in a wide spectrum of applications, including autonomous driving, robotics, and traffic control. Withthe proliferation of autonomous systems, such as self-driving cars, mobile robots, and unmanned air vehicles, safety plays a crucial role in ensuring their widespread adoption. This book considers the integration of safety guarantees into the operation of such systems including typical safety requirements that involve collision avoidance, technological system limitations, and bounds on real-time executions. Adaptive approaches for safety are also proposed for time-varying execution bounds and noisy dynamics. In addition, this book: Presents all aspects of safe autonomy including the theoretical development, solution of specific problems, and analysis and resolution of feasibility guarantees; Discusses how the Control Barrier Function (CBF) approach can be used for most autonomous systems and proposes safety guarantees for systems with unknown dynamics using novel event-driven approaches; Establishes the basic concepts, definitions, and algorithms required to understand the CBF approach, making it easy to comprehend and apply in practice.
650 0 _aControl engineering.
_931970
650 0 _aRobotics.
_92393
650 0 _aAutomation.
_92392
650 0 _aMachine learning.
_91831
650 0 _aDynamics.
_979446
650 0 _aNonlinear theories.
_93339
650 0 _aArtificial intelligence.
_93407
650 1 4 _aControl, Robotics, Automation.
_931971
650 2 4 _aControl and Systems Theory.
_931972
650 2 4 _aMachine Learning.
_91831
650 2 4 _aApplied Dynamical Systems.
_932005
650 2 4 _aArtificial Intelligence.
_93407
650 2 4 _aAutomation.
_92392
700 1 _aCassandras, Christos G.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_979447
700 1 _aBelta, Calin.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_979448
710 2 _aSpringerLink (Online service)
_979449
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031275753
776 0 8 _iPrinted edition:
_z9783031275777
776 0 8 _iPrinted edition:
_z9783031275784
830 0 _aSynthesis Lectures on Computer Science,
_x1932-1686
_979450
856 4 0 _uhttps://doi.org/10.1007/978-3-031-27576-0
912 _aZDB-2-SXSC
942 _cEBK
999 _c84784
_d84784