000			01978nam a2200301za04500
001			17550
008			050703s2011 gw eng d
020			_a9783642180415 99783642180415
082			_a006.3 _b223
100			_aGazi, Veysel. _eauthor. _935989
245			_aSwarm Stability and Optimization _h[electronic resource] / _cby Veysel Gazi, Kevin M. Passino.
300			_aXVIII, 302p. 74 illus., 60 illus. in color. _bonline resource.
505			_aPart I Basic Principles -- Part II Continuous Time Swarms -- Part III Discrete Time Swarms -- Part IV Swarm Based Optimization Methods.
520			_aSwarming species such as flocks of birds or schools of fish exhibit fascinating collective behaviors during migration and predator avoidance. Similarly, engineered multi-agent dynamic systems such as groups of autonomous ground, underwater, or air vehicles ("vehicle swarms") exhibit sophisticated collective behaviors while maneuvering. In this book we show how to model and control a wide range of such multi-agent dynamic systems and analyze their collective behavior using both stability theoretic and simulation-based approaches. In particular, we investigate problems such as group aggregation, social foraging, formation control, swarm tracking, distributed agreement, and engineering optimization inspired by swarm behavior.
650			_aEngineering. _996
650			_aArtificial intelligence. _933648
650			_aEngineering. _996
650			_aArtificial Intelligence (incl. Robotics). _923200
650			_930655 _aCOMPUTADOR VISIÓN
650			_930658 _aIMAGE PROCESSING AND COMPUTER VISION
650			_933763 _aCOMPUTATIONAL INTELIGENCE
650			_933591 _aCONTROL, ROBOTICS, MECHATRONICS
700			_aPassino, Kevin M. _935990
700			_eauthor. _935991
710			_aSpringerLink (Online service) _9111
856			_uhttp://springer.escuelaing.metaproxy.org/book/10.1007/978-3-642-18041-5 _yir a documento _qURL
942			_2ddc _cCF
999			_c14175 _d14175